Chapter 17. Clusters at the network far edge
17.1. Challenges of the network far edge
Edge computing presents complex challenges when managing many sites in geographically displaced locations. Use GitOps Zero Touch Provisioning (ZTP) to provision and manage sites at the far edge of the network.
17.1.1. Overcoming the challenges of the network far edge
Today, service providers want to deploy their infrastructure at the edge of the network. This presents significant challenges:
- How do you handle deployments of many edge sites in parallel?
- What happens when you need to deploy sites in disconnected environments?
- How do you manage the lifecycle of large fleets of clusters?
GitOps Zero Touch Provisioning (ZTP) and GitOps meets these challenges by allowing you to provision remote edge sites at scale with declarative site definitions and configurations for bare-metal equipment. Template or overlay configurations install OpenShift Container Platform features that are required for CNF workloads. The full lifecycle of installation and upgrades is handled through the GitOps ZTP pipeline.
GitOps ZTP uses GitOps for infrastructure deployments. With GitOps, you use declarative YAML files and other defined patterns stored in Git repositories. Red Hat Advanced Cluster Management (RHACM) uses your Git repositories to drive the deployment of your infrastructure.
GitOps provides traceability, role-based access control (RBAC), and a single source of truth for the desired state of each site. Scalability issues are addressed by Git methodologies and event driven operations through webhooks.
You start the GitOps ZTP workflow by creating declarative site definition and configuration custom resources (CRs) that the GitOps ZTP pipeline delivers to the edge nodes.
The following diagram shows how GitOps ZTP works within the far edge framework.

17.1.2. Using GitOps ZTP to provision clusters at the network far edge
Red Hat Advanced Cluster Management (RHACM) manages clusters in a hub-and-spoke architecture, where a single hub cluster manages many spoke clusters. Hub clusters running RHACM provision and deploy the managed clusters by using GitOps Zero Touch Provisioning (ZTP) and the assisted service that is deployed when you install RHACM.
The assisted service handles provisioning of OpenShift Container Platform on single node clusters, three-node clusters, or standard clusters running on bare metal.
A high-level overview of using GitOps ZTP to provision and maintain bare-metal hosts with OpenShift Container Platform is as follows:
- A hub cluster running RHACM manages an OpenShift image registry that mirrors the OpenShift Container Platform release images. RHACM uses the OpenShift image registry to provision the managed clusters.
- You manage the bare-metal hosts in a YAML format inventory file, versioned in a Git repository.
- You make the hosts ready for provisioning as managed clusters, and use RHACM and the assisted service to install the bare-metal hosts on site.
Installing and deploying the clusters is a two-stage process, involving an initial installation phase, and a subsequent configuration phase. The following diagram illustrates this workflow:

17.1.3. Installing managed clusters with SiteConfig resources and RHACM
GitOps Zero Touch Provisioning (ZTP) uses SiteConfig custom resources (CRs) in a Git repository to manage the processes that install OpenShift Container Platform clusters. The SiteConfig CR contains cluster-specific parameters required for installation. It has options for applying select configuration CRs during installation including user defined extra manifests.
The GitOps ZTP plugin processes SiteConfig CRs to generate a collection of CRs on the hub cluster. This triggers the assisted service in Red Hat Advanced Cluster Management (RHACM) to install OpenShift Container Platform on the bare-metal host. You can find installation status and error messages in these CRs on the hub cluster.
You can provision single clusters manually or in batches with GitOps ZTP:
- Provisioning a single cluster
-
Create a single
SiteConfigCR and related installation and configuration CRs for the cluster, and apply them in the hub cluster to begin cluster provisioning. This is a good way to test your CRs before deploying on a larger scale. - Provisioning many clusters
-
Install managed clusters in batches of up to 400 by defining
SiteConfigand related CRs in a Git repository. ArgoCD uses theSiteConfigCRs to deploy the sites. The RHACM policy generator creates the manifests and applies them to the hub cluster. This starts the cluster provisioning process.
17.1.4. Configuring managed clusters with policies and PolicyGenTemplate resources
GitOps Zero Touch Provisioning (ZTP) uses Red Hat Advanced Cluster Management (RHACM) to configure clusters by using a policy-based governance approach to applying the configuration.
The policy generator or PolicyGen is a plugin for the GitOps Operator that enables the creation of RHACM policies from a concise template. The tool can combine multiple CRs into a single policy, and you can generate multiple policies that apply to various subsets of clusters in your fleet.
For scalability and to reduce the complexity of managing configurations across the fleet of clusters, use configuration CRs with as much commonality as possible.
- Where possible, apply configuration CRs using a fleet-wide common policy.
- The next preference is to create logical groupings of clusters to manage as much of the remaining configurations as possible under a group policy.
- When a configuration is unique to an individual site, use RHACM templating on the hub cluster to inject the site-specific data into a common or group policy. Alternatively, apply an individual site policy for the site.
The following diagram shows how the policy generator interacts with GitOps and RHACM in the configuration phase of cluster deployment.

For large fleets of clusters, it is typical for there to be a high-level of consistency in the configuration of those clusters.
The following recommended structuring of policies combines configuration CRs to meet several goals:
- Describe common configurations once and apply to the fleet.
- Minimize the number of maintained and managed policies.
- Support flexibility in common configurations for cluster variants.
Table 17.1. Recommended PolicyGenTemplate policy categories
| Policy category | Description |
|---|---|
| Common |
A policy that exists in the common category is applied to all clusters in the fleet. Use common |
| Groups |
A policy that exists in the groups category is applied to a group of clusters in the fleet. Use group |
| Sites | A policy that exists in the sites category is applied to a specific cluster site. Any cluster can have its own specific policies maintained. |
Additional resources
-
For more information about extracting the reference
SiteConfigandPolicyGenTemplateCRs from theztp-site-generatecontainer image, see Preparing the ZTP Git repository.
17.2. Preparing the hub cluster for ZTP
To use RHACM in a disconnected environment, create a mirror registry that mirrors the OpenShift Container Platform release images and Operator Lifecycle Manager (OLM) catalog that contains the required Operator images. OLM manages, installs, and upgrades Operators and their dependencies in the cluster. You can also use a disconnected mirror host to serve the RHCOS ISO and RootFS disk images that are used to provision the bare-metal hosts.
17.2.1. Telco RAN 4.13 validated solution software versions
The Red Hat Telco Radio Access Network (RAN) version 4.13 solution has been validated using the following Red Hat software products.
Table 17.2. Telco RAN 4.13 validated solution software
| Product | Software version |
|---|---|
| Hub cluster OpenShift Container Platform version | 4.13 |
| GitOps ZTP plugin | 4.11, 4.12, or 4.13 |
| Red Hat Advanced Cluster Management (RHACM) | 2.7 |
| Red Hat OpenShift GitOps | 1.6 |
| Topology Aware Lifecycle Manager (TALM) | 4.11, 4.12, or 4.13 |
17.2.2. Installing GitOps ZTP in a disconnected environment
Use Red Hat Advanced Cluster Management (RHACM), Red Hat OpenShift GitOps, and Topology Aware Lifecycle Manager (TALM) on the hub cluster in the disconnected environment to manage the deployment of multiple managed clusters.
Prerequisites
-
You have installed the OpenShift Container Platform CLI (
oc). -
You have logged in as a user with
cluster-adminprivileges. You have configured a disconnected mirror registry for use in the cluster.
NoteThe disconnected mirror registry that you create must contain a version of TALM backup and pre-cache images that matches the version of TALM running in the hub cluster. The spoke cluster must be able to resolve these images in the disconnected mirror registry.
Procedure
- Install RHACM in the hub cluster. See Installing RHACM in a disconnected environment.
- Install GitOps and TALM in the hub cluster.
Additional resources
17.2.3. Adding RHCOS ISO and RootFS images to the disconnected mirror host
Before you begin installing clusters in the disconnected environment with Red Hat Advanced Cluster Management (RHACM), you must first host Red Hat Enterprise Linux CoreOS (RHCOS) images for it to use. Use a disconnected mirror to host the RHCOS images.
Prerequisites
- Deploy and configure an HTTP server to host the RHCOS image resources on the network. You must be able to access the HTTP server from your computer, and from the machines that you create.
The RHCOS images might not change with every release of OpenShift Container Platform. You must download images with the highest version that is less than or equal to the version that you install. Use the image versions that match your OpenShift Container Platform version if they are available. You require ISO and RootFS images to install RHCOS on the hosts. RHCOS QCOW2 images are not supported for this installation type.
Procedure
- Log in to the mirror host.
Obtain the RHCOS ISO and RootFS images from mirror.openshift.com, for example:
Export the required image names and OpenShift Container Platform version as environment variables:
$ export ISO_IMAGE_NAME=<iso_image_name> 1$ export ROOTFS_IMAGE_NAME=<rootfs_image_name> 1$ export OCP_VERSION=<ocp_version> 1Download the required images:
$ sudo wget https://mirror.openshift.com/pub/openshift-v4/dependencies/rhcos/4.13/${OCP_VERSION}/${ISO_IMAGE_NAME} -O /var/www/html/${ISO_IMAGE_NAME}$ sudo wget https://mirror.openshift.com/pub/openshift-v4/dependencies/rhcos/4.13/${OCP_VERSION}/${ROOTFS_IMAGE_NAME} -O /var/www/html/${ROOTFS_IMAGE_NAME}
Verification steps
Verify that the images downloaded successfully and are being served on the disconnected mirror host, for example:
$ wget http://$(hostname)/${ISO_IMAGE_NAME}Example output
Saving to: rhcos-4.13.1-x86_64-live.x86_64.iso rhcos-4.13.1-x86_64-live.x86_64.iso- 11%[====> ] 10.01M 4.71MB/s
Additional resources
17.2.4. Enabling the assisted service and updating AgentServiceConfig on the hub cluster
Red Hat Advanced Cluster Management (RHACM) uses the assisted service to deploy OpenShift Container Platform clusters. The assisted service is deployed automatically when you enable the MultiClusterHub Operator with Central Infrastructure Management (CIM). When you have enabled CIM on the hub cluster, you then need to update the AgentServiceConfig custom resource (CR) with references to the ISO and RootFS images that are hosted on the mirror registry HTTP server.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. - You have enabled the assisted service on the hub cluster. For more information, see Enabling the Central Infrastructure Management service.
Procedure
Update the
AgentServiceConfigCR by running the following command:$ oc edit AgentServiceConfig
Add the following entry to the
items.spec.osImagesfield in the CR:- cpuArchitecture: x86_64 openshiftVersion: "4.13" rootFSUrl: https://<host>/<path>/rhcos-live-rootfs.x86_64.img url: https://<mirror-registry>/<path>/rhcos-live.x86_64.isowhere:
- <host>
- Is the fully qualified domain name (FQDN) for the target mirror registry HTTP server.
- <path>
- Is the path to the image on the target mirror registry.
Save and quit the editor to apply the changes.
17.2.5. Configuring the hub cluster to use a disconnected mirror registry
You can configure the hub cluster to use a disconnected mirror registry for a disconnected environment.
Prerequisites
- You have a disconnected hub cluster installation with Red Hat Advanced Cluster Management (RHACM) 2.8 installed.
-
You have hosted the
rootfsandisoimages on an HTTP server.
If you enable TLS for the HTTP server, you must confirm the root certificate is signed by an authority trusted by the client and verify the trusted certificate chain between your OpenShift Container Platform hub and managed clusters and the HTTP server. Using a server configured with an untrusted certificate prevents the images from being downloaded to the image creation service. Using untrusted HTTPS servers is not supported.
Procedure
Create a
ConfigMapcontaining the mirror registry config:apiVersion: v1 kind: ConfigMap metadata: name: assisted-installer-config-map namespace: "<infrastructure_operator_namespace>" 1 labels: app: assisted-service data: ca-bundle.crt: | 2 -----BEGIN CERTIFICATE----- <certificate_contents> -----END CERTIFICATE----- registries.conf: | 3 unqualified-search-registries = ["registry.access.redhat.com", "docker.io"] [[registry]] prefix = "" location = "quay.io/example-repository" 4 mirror-by-digest-only = true [[registry.mirror]] location = "mirror1.registry.corp.com:5000/example-repository" 5
- 1
- The
ConfigMapnamespace must be the same as the namespace of the Infrastructure Operator. - 2
- The mirror registry’s certificate that is used when creating the mirror registry.
- 3
- The configuration file for the mirror registry. The mirror registry configuration adds mirror information to the
/etc/containers/registries.conffile in the discovery image. The mirror information is stored in theimageContentSourcessection of theinstall-config.yamlfile when the information is passed to the installation program. The Assisted Service pod that runs on the hub cluster fetches the container images from the configured mirror registry. - 4
- The URL of the mirror registry. You must use the URL from the
imageContentSourcessection by running theoc adm release mirrorcommand when you configure the mirror registry. For more information, see the Mirroring the OpenShift Container Platform image repository section. - 5
- The registries defined in the
registries.conffile must be scoped by repository, not by registry. In this example, both thequay.io/example-repositoryand themirror1.registry.corp.com:5000/example-repositoryrepositories are scoped by theexample-repositoryrepository.
This updates
mirrorRegistryRefin theAgentServiceConfigcustom resource, as shown below:Example output
apiVersion: agent-install.openshift.io/v1beta1 kind: AgentServiceConfig metadata: name: agent spec: databaseStorage: volumeName: <db_pv_name> accessModes: - ReadWriteOnce resources: requests: storage: <db_storage_size> filesystemStorage: volumeName: <fs_pv_name> accessModes: - ReadWriteOnce resources: requests: storage: <fs_storage_size> mirrorRegistryRef: name: 'assisted-installer-mirror-config' osImages: - openshiftVersion: <ocp_version> url: <iso_url> 1- 1
- Must match the URL of the HTTPD server.
A valid NTP server is required during cluster installation. Ensure that a suitable NTP server is available and can be reached from the installed clusters through the disconnected network.
Additional resources
17.2.6. Configuring the hub cluster to use unauthenticated registries
You can configure the hub cluster to use unauthenticated registries. Unauthenticated registries does not require authentication to access and download images.
Prerequisites
- You have installed and configured a hub cluster and installed Red Hat Advanced Cluster Management (RHACM) on the hub cluster.
- You have installed the OpenShift Container Platform CLI (oc).
-
You have logged in as a user with
cluster-adminprivileges. - You have configured an unauthenticated registry for use with the hub cluster.
Procedure
Update the
AgentServiceConfigcustom resource (CR) by running the following command:$ oc edit AgentServiceConfig agent
Add the
unauthenticatedRegistriesfield in the CR:apiVersion: agent-install.openshift.io/v1beta1 kind: AgentServiceConfig metadata: name: agent spec: unauthenticatedRegistries: - example.registry.com - example.registry2.com ...
Unauthenticated registries are listed under
spec.unauthenticatedRegistriesin theAgentServiceConfigresource. Any registry on this list is not required to have an entry in the pull secret used for the spoke cluster installation.assisted-servicevalidates the pull secret by making sure it contains the authentication information for every image registry used for installation.
Mirror registries are automatically added to the ignore list and do not need to be added under spec.unauthenticatedRegistries. Specifying the PUBLIC_CONTAINER_REGISTRIES environment variable in the ConfigMap overrides the default values with the specified value. The PUBLIC_CONTAINER_REGISTRIES defaults are quay.io and registry.svc.ci.openshift.org.
Verification
Verify that you can access the newly added registry from the hub cluster by running the following commands:
Open a debug shell prompt to the hub cluster:
$ oc debug node/<node_name>
Test access to the unauthenticated registry by running the following command:
sh-4.4# podman login -u kubeadmin -p $(oc whoami -t) <unauthenticated_registry>
where:
- <unauthenticated_registry>
-
Is the new registry, for example,
unauthenticated-image-registry.openshift-image-registry.svc:5000.
Example output
Login Succeeded!
17.2.7. Configuring the hub cluster with ArgoCD
You can configure the hub cluster with a set of ArgoCD applications that generate the required installation and policy custom resources (CRs) for each site with GitOps Zero Touch Provisioning (ZTP).
Red Hat Advanced Cluster Management (RHACM) uses SiteConfig CRs to generate the Day 1 managed cluster installation CRs for ArgoCD. Each ArgoCD application can manage a maximum of 300 SiteConfig CRs.
Prerequisites
- You have a OpenShift Container Platform hub cluster with Red Hat Advanced Cluster Management (RHACM) and Red Hat OpenShift GitOps installed.
-
You have extracted the reference deployment from the GitOps ZTP plugin container as described in the "Preparing the GitOps ZTP site configuration repository" section. Extracting the reference deployment creates the
out/argocd/deploymentdirectory referenced in the following procedure.
Procedure
Prepare the ArgoCD pipeline configuration:
- Create a Git repository with the directory structure similar to the example directory. For more information, see "Preparing the GitOps ZTP site configuration repository".
Configure access to the repository using the ArgoCD UI. Under Settings configure the following:
-
Repositories - Add the connection information. The URL must end in
.git, for example,https://repo.example.com/repo.gitand credentials. - Certificates - Add the public certificate for the repository, if needed.
-
Repositories - Add the connection information. The URL must end in
Modify the two ArgoCD applications,
out/argocd/deployment/clusters-app.yamlandout/argocd/deployment/policies-app.yaml, based on your Git repository:-
Update the URL to point to the Git repository. The URL ends with
.git, for example,https://repo.example.com/repo.git. -
The
targetRevisionindicates which Git repository branch to monitor. -
pathspecifies the path to theSiteConfigandPolicyGenTemplateCRs, respectively.
-
Update the URL to point to the Git repository. The URL ends with
To install the GitOps ZTP plugin you must patch the ArgoCD instance in the hub cluster by using the patch file previously extracted into the
out/argocd/deployment/directory. Run the following command:$ oc patch argocd openshift-gitops \ -n openshift-gitops --type=merge \ --patch-file out/argocd/deployment/argocd-openshift-gitops-patch.json
Apply the pipeline configuration to your hub cluster by using the following command:
$ oc apply -k out/argocd/deployment
17.2.8. Preparing the GitOps ZTP site configuration repository
Before you can use the GitOps Zero Touch Provisioning (ZTP) pipeline, you need to prepare the Git repository to host the site configuration data.
Prerequisites
- You have configured the hub cluster GitOps applications for generating the required installation and policy custom resources (CRs).
- You have deployed the managed clusters using GitOps ZTP.
Procedure
-
Create a directory structure with separate paths for the
SiteConfigandPolicyGenTemplateCRs. Export the
argocddirectory from theztp-site-generatecontainer image using the following commands:$ podman pull registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.13
$ mkdir -p ./out
$ podman run --log-driver=none --rm registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.13 extract /home/ztp --tar | tar x -C ./out
Check that the
outdirectory contains the following subdirectories:-
out/extra-manifestcontains the source CR files thatSiteConfiguses to generate extra manifestconfigMap. -
out/source-crscontains the source CR files thatPolicyGenTemplateuses to generate the Red Hat Advanced Cluster Management (RHACM) policies. -
out/argocd/deploymentcontains patches and YAML files to apply on the hub cluster for use in the next step of this procedure. -
out/argocd/examplecontains the examples forSiteConfigandPolicyGenTemplatefiles that represent the recommended configuration.
-
The directory structure under out/argocd/example serves as a reference for the structure and content of your Git repository. The example includes SiteConfig and PolicyGenTemplate reference CRs for single-node, three-node, and standard clusters. Remove references to cluster types that you are not using. The following example describes a set of CRs for a network of single-node clusters:
example
├── policygentemplates
│ ├── common-ranGen.yaml
│ ├── example-sno-site.yaml
│ ├── group-du-sno-ranGen.yaml
│ ├── group-du-sno-validator-ranGen.yaml
│ ├── kustomization.yaml
│ └── ns.yaml
└── siteconfig
├── example-sno.yaml
├── KlusterletAddonConfigOverride.yaml
└── kustomization.yaml
Keep SiteConfig and PolicyGenTemplate CRs in separate directories. Both the SiteConfig and PolicyGenTemplate directories must contain a kustomization.yaml file that explicitly includes the files in that directory.
This directory structure and the kustomization.yaml files must be committed and pushed to your Git repository. The initial push to Git should include the kustomization.yaml files. The SiteConfig (example-sno.yaml) and PolicyGenTemplate (common-ranGen.yaml, group-du-sno*.yaml, and example-sno-site.yaml) files can be omitted and pushed at a later time as required when deploying a site.
The KlusterletAddonConfigOverride.yaml file is only required if one or more SiteConfig CRs which make reference to it are committed and pushed to Git. See example-sno.yaml for an example of how this is used.
17.3. Installing managed clusters with RHACM and SiteConfig resources
You can provision OpenShift Container Platform clusters at scale with Red Hat Advanced Cluster Management (RHACM) using the assisted service and the GitOps plugin policy generator with core-reduction technology enabled. The GitOps Zero Touch Provisioning (ZTP) pipeline performs the cluster installations. GitOps ZTP can be used in a disconnected environment.
17.3.1. GitOps ZTP and Topology Aware Lifecycle Manager
GitOps Zero Touch Provisioning (ZTP) generates installation and configuration CRs from manifests stored in Git. These artifacts are applied to a centralized hub cluster where Red Hat Advanced Cluster Management (RHACM), the assisted service, and the Topology Aware Lifecycle Manager (TALM) use the CRs to install and configure the managed cluster. The configuration phase of the GitOps ZTP pipeline uses the TALM to orchestrate the application of the configuration CRs to the cluster. There are several key integration points between GitOps ZTP and the TALM.
- Inform policies
-
By default, GitOps ZTP creates all policies with a remediation action of
inform. These policies cause RHACM to report on compliance status of clusters relevant to the policies but does not apply the desired configuration. During the GitOps ZTP process, after OpenShift installation, the TALM steps through the createdinformpolicies and enforces them on the target managed cluster(s). This applies the configuration to the managed cluster. Outside of the GitOps ZTP phase of the cluster lifecycle, this allows you to change policies without the risk of immediately rolling those changes out to affected managed clusters. You can control the timing and the set of remediated clusters by using TALM. - Automatic creation of ClusterGroupUpgrade CRs
To automate the initial configuration of newly deployed clusters, TALM monitors the state of all
ManagedClusterCRs on the hub cluster. AnyManagedClusterCR that does not have aztp-donelabel applied, including newly createdManagedClusterCRs, causes the TALM to automatically create aClusterGroupUpgradeCR with the following characteristics:-
The
ClusterGroupUpgradeCR is created and enabled in theztp-installnamespace. -
ClusterGroupUpgradeCR has the same name as theManagedClusterCR. -
The cluster selector includes only the cluster associated with that
ManagedClusterCR. -
The set of managed policies includes all policies that RHACM has bound to the cluster at the time the
ClusterGroupUpgradeis created. - Pre-caching is disabled.
- Timeout set to 4 hours (240 minutes).
The automatic creation of an enabled
ClusterGroupUpgradeensures that initial zero-touch deployment of clusters proceeds without the need for user intervention. Additionally, the automatic creation of aClusterGroupUpgradeCR for anyManagedClusterwithout theztp-donelabel allows a failed GitOps ZTP installation to be restarted by simply deleting theClusterGroupUpgradeCR for the cluster.-
The
- Waves
Each policy generated from a
PolicyGenTemplateCR includes aztp-deploy-waveannotation. This annotation is based on the same annotation from each CR which is included in that policy. The wave annotation is used to order the policies in the auto-generatedClusterGroupUpgradeCR. The wave annotation is not used other than for the auto-generatedClusterGroupUpgradeCR.NoteAll CRs in the same policy must have the same setting for the
ztp-deploy-waveannotation. The default value of this annotation for each CR can be overridden in thePolicyGenTemplate. The wave annotation in the source CR is used for determining and setting the policy wave annotation. This annotation is removed from each built CR which is included in the generated policy at runtime.The TALM applies the configuration policies in the order specified by the wave annotations. The TALM waits for each policy to be compliant before moving to the next policy. It is important to ensure that the wave annotation for each CR takes into account any prerequisites for those CRs to be applied to the cluster. For example, an Operator must be installed before or concurrently with the configuration for the Operator. Similarly, the
CatalogSourcefor an Operator must be installed in a wave before or concurrently with the Operator Subscription. The default wave value for each CR takes these prerequisites into account.Multiple CRs and policies can share the same wave number. Having fewer policies can result in faster deployments and lower CPU usage. It is a best practice to group many CRs into relatively few waves.
To check the default wave value in each source CR, run the following command against the out/source-crs directory that is extracted from the ztp-site-generate container image:
$ grep -r "ztp-deploy-wave" out/source-crs
- Phase labels
The
ClusterGroupUpgradeCR is automatically created and includes directives to annotate theManagedClusterCR with labels at the start and end of the GitOps ZTP process.When GitOps ZTP configuration post-installation commences, the
ManagedClusterhas theztp-runninglabel applied. When all policies are remediated to the cluster and are fully compliant, these directives cause the TALM to remove theztp-runninglabel and apply theztp-donelabel.For deployments that make use of the
informDuValidatorpolicy, theztp-donelabel is applied when the cluster is fully ready for deployment of applications. This includes all reconciliation and resulting effects of the GitOps ZTP applied configuration CRs. Theztp-donelabel affects automaticClusterGroupUpgradeCR creation by TALM. Do not manipulate this label after the initial GitOps ZTP installation of the cluster.- Linked CRs
-
The automatically created
ClusterGroupUpgradeCR has the owner reference set as theManagedClusterfrom which it was derived. This reference ensures that deleting theManagedClusterCR causes the instance of theClusterGroupUpgradeto be deleted along with any supporting resources.
17.3.2. Overview of deploying managed clusters with GitOps ZTP
Red Hat Advanced Cluster Management (RHACM) uses GitOps Zero Touch Provisioning (ZTP) to deploy single-node OpenShift Container Platform clusters, three-node clusters, and standard clusters. You manage site configuration data as OpenShift Container Platform custom resources (CRs) in a Git repository. GitOps ZTP uses a declarative GitOps approach for a develop once, deploy anywhere model to deploy the managed clusters.
The deployment of the clusters includes:
- Installing the host operating system (RHCOS) on a blank server
- Deploying OpenShift Container Platform
- Creating cluster policies and site subscriptions
- Making the necessary network configurations to the server operating system
- Deploying profile Operators and performing any needed software-related configuration, such as performance profile, PTP, and SR-IOV
Overview of the managed site installation process
After you apply the managed site custom resources (CRs) on the hub cluster, the following actions happen automatically:
- A Discovery image ISO file is generated and booted on the target host.
- When the ISO file successfully boots on the target host it reports the host hardware information to RHACM.
- After all hosts are discovered, OpenShift Container Platform is installed.
-
When OpenShift Container Platform finishes installing, the hub installs the
klusterletservice on the target cluster. - The requested add-on services are installed on the target cluster.
The Discovery image ISO process is complete when the Agent CR for the managed cluster is created on the hub cluster.
The target bare-metal host must meet the networking, firmware, and hardware requirements listed in Recommended single-node OpenShift cluster configuration for vDU application workloads.
17.3.3. Creating the managed bare-metal host secrets
Add the required Secret custom resources (CRs) for the managed bare-metal host to the hub cluster. You need a secret for the GitOps Zero Touch Provisioning (ZTP) pipeline to access the Baseboard Management Controller (BMC) and a secret for the assisted installer service to pull cluster installation images from the registry.
The secrets are referenced from the SiteConfig CR by name. The namespace must match the SiteConfig namespace.
Procedure
Create a YAML secret file containing credentials for the host Baseboard Management Controller (BMC) and a pull secret required for installing OpenShift and all add-on cluster Operators:
Save the following YAML as the file
example-sno-secret.yaml:apiVersion: v1 kind: Secret metadata: name: example-sno-bmc-secret namespace: example-sno 1 data: 2 password: <base64_password> username: <base64_username> type: Opaque --- apiVersion: v1 kind: Secret metadata: name: pull-secret namespace: example-sno 3 data: .dockerconfigjson: <pull_secret> 4 type: kubernetes.io/dockerconfigjson
-
Add the relative path to
example-sno-secret.yamlto thekustomization.yamlfile that you use to install the cluster.
17.3.4. Configuring Discovery ISO kernel arguments for installations using GitOps ZTP
The GitOps Zero Touch Provisioning (ZTP) workflow uses the Discovery ISO as part of the OpenShift Container Platform installation process on managed bare-metal hosts. You can edit the InfraEnv resource to specify kernel arguments for the Discovery ISO. This is useful for cluster installations with specific environmental requirements. For example, configure the rd.net.timeout.carrier kernel argument for the Discovery ISO to facilitate static networking for the cluster or to receive a DHCP address before downloading the root file system during installation.
In OpenShift Container Platform 4.13, you can only add kernel arguments. You can not replace or delete kernel arguments.
Prerequisites
- You have installed the OpenShift CLI (oc).
- You have logged in to the hub cluster as a user with cluster-admin privileges.
Procedure
Create the
InfraEnvCR and edit thespec.kernelArgumentsspecification to configure kernel arguments.Save the following YAML in an
InfraEnv-example.yamlfile:NoteThe
InfraEnvCR in this example uses template syntax such as{{ .Cluster.ClusterName }}that is populated based on values in theSiteConfigCR. TheSiteConfigCR automatically populates values for these templates during deployment. Do not edit the templates manually.apiVersion: agent-install.openshift.io/v1beta1 kind: InfraEnv metadata: annotations: argocd.argoproj.io/sync-wave: "1" name: "{{ .Cluster.ClusterName }}" namespace: "{{ .Cluster.ClusterName }}" spec: clusterRef: name: "{{ .Cluster.ClusterName }}" namespace: "{{ .Cluster.ClusterName }}" kernelArguments: - operation: append 1 value: audit=0 2 - operation: append value: trace=1 sshAuthorizedKey: "{{ .Site.SshPublicKey }}" proxy: "{{ .Cluster.ProxySettings }}" pullSecretRef: name: "{{ .Site.PullSecretRef.Name }}" ignitionConfigOverride: "{{ .Cluster.IgnitionConfigOverride }}" nmStateConfigLabelSelector: matchLabels: nmstate-label: "{{ .Cluster.ClusterName }}" additionalNTPSources: "{{ .Cluster.AdditionalNTPSources }}"
Commit the
InfraEnv-example.yamlCR to the same location in your Git repository that has theSiteConfigCR and push your changes. The following example shows a sample Git repository structure:~/example-ztp/install └── site-install ├── siteconfig-example.yaml ├── InfraEnv-example.yaml ...Edit the
spec.clusters.crTemplatesspecification in theSiteConfigCR to reference theInfraEnv-example.yamlCR in your Git repository:clusters: crTemplates: InfraEnv: "InfraEnv-example.yaml"When you are ready to deploy your cluster by committing and pushing the
SiteConfigCR, the build pipeline uses the customInfraEnv-exampleCR in your Git repository to configure the infrastructure environment, including the custom kernel arguments.
Verification
To verify that the kernel arguments are applied, after the Discovery image verifies that OpenShift Container Platform is ready for installation, you can SSH to the target host before the installation process begins. At that point, you can view the kernel arguments for the Discovery ISO in the /proc/cmdline file.
Begin an SSH session with the target host:
$ ssh -i /path/to/privatekey core@<host_name>
View the system’s kernel arguments by using the following command:
$ cat /proc/cmdline
17.3.5. Deploying a managed cluster with SiteConfig and GitOps ZTP
Use the following procedure to create a SiteConfig custom resource (CR) and related files and initiate the GitOps Zero Touch Provisioning (ZTP) cluster deployment.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. - You configured the hub cluster for generating the required installation and policy CRs.
You created a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and you must configure it as a source repository for the ArgoCD application. See "Preparing the GitOps ZTP site configuration repository" for more information.
NoteWhen you create the source repository, ensure that you patch the ArgoCD application with the
argocd/deployment/argocd-openshift-gitops-patch.jsonpatch-file that you extract from theztp-site-generatecontainer. See "Configuring the hub cluster with ArgoCD".To be ready for provisioning managed clusters, you require the following for each bare-metal host:
- Network connectivity
- Your network requires DNS. Managed cluster hosts should be reachable from the hub cluster. Ensure that Layer 3 connectivity exists between the hub cluster and the managed cluster host.
- Baseboard Management Controller (BMC) details
-
GitOps ZTP uses BMC username and password details to connect to the BMC during cluster installation. The GitOps ZTP plugin manages the
ManagedClusterCRs on the hub cluster based on theSiteConfigCR in your site Git repo. You create individualBMCSecretCRs for each host manually.
Procedure
Create the required managed cluster secrets on the hub cluster. These resources must be in a namespace with a name matching the cluster name. For example, in
out/argocd/example/siteconfig/example-sno.yaml, the cluster name and namespace isexample-sno.Export the cluster namespace by running the following command:
$ export CLUSTERNS=example-sno
Create the namespace:
$ oc create namespace $CLUSTERNS
Create pull secret and BMC
SecretCRs for the managed cluster. The pull secret must contain all the credentials necessary for installing OpenShift Container Platform and all required Operators. See "Creating the managed bare-metal host secrets" for more information.NoteThe secrets are referenced from the
SiteConfigcustom resource (CR) by name. The namespace must match theSiteConfignamespace.Create a
SiteConfigCR for your cluster in your local clone of the Git repository:Choose the appropriate example for your CR from the
out/argocd/example/siteconfig/folder. The folder includes example files for single node, three-node, and standard clusters:-
example-sno.yaml -
example-3node.yaml -
example-standard.yaml
-
Change the cluster and host details in the example file to match the type of cluster you want. For example:
Example single-node OpenShift cluster SiteConfig CR
apiVersion: ran.openshift.io/v1 kind: SiteConfig metadata: name: "<site_name>" namespace: "<site_name>" spec: baseDomain: "example.com" pullSecretRef: name: "assisted-deployment-pull-secret" 1 clusterImageSetNameRef: "openshift-4.13" 2 sshPublicKey: "ssh-rsa AAAA..." 3 clusters: - clusterName: "<site_name>" networkType: "OVNKubernetes" clusterLabels: 4 common: true group-du-sno: "" sites : "<site_name>" clusterNetwork: - cidr: 1001:1::/48 hostPrefix: 64 machineNetwork: - cidr: 1111:2222:3333:4444::/64 serviceNetwork: - 1001:2::/112 additionalNTPSources: - 1111:2222:3333:4444::2 #crTemplates: # KlusterletAddonConfig: "KlusterletAddonConfigOverride.yaml" 5 nodes: - hostName: "example-node.example.com" 6 role: "master" bmcAddress: idrac-virtualmedia://<out_of_band_ip>/<system_id>/ 7 bmcCredentialsName: name: "bmh-secret" 8 bootMACAddress: "AA:BB:CC:DD:EE:11" bootMode: "UEFI" 9 rootDeviceHints: 10 wwn: "0x11111000000asd123" cpuset: "0-1,52-53" 11 nodeNetwork: 12 interfaces: - name: eno1 macAddress: "AA:BB:CC:DD:EE:11" config: interfaces: - name: eno1 type: ethernet state: up ipv4: enabled: false ipv6: 13 enabled: true address: - ip: 1111:2222:3333:4444::aaaa:1 prefix-length: 64 dns-resolver: config: search: - example.com server: - 1111:2222:3333:4444::2 routes: config: - destination: ::/0 next-hop-interface: eno1 next-hop-address: 1111:2222:3333:4444::1 table-id: 254- 1
- Create the
assisted-deployment-pull-secretCR with the same namespace as theSiteConfigCR. - 2
clusterImageSetNameRefdefines an image set available on the hub cluster. To see the list of supported versions on your hub cluster, runoc get clusterimagesets.- 3
- Configure the SSH public key used to access the cluster.
- 4
- Cluster labels must correspond to the
bindingRulesfield in thePolicyGenTemplateCRs that you define. For example,policygentemplates/common-ranGen.yamlapplies to all clusters withcommon: trueset,policygentemplates/group-du-sno-ranGen.yamlapplies to all clusters withgroup-du-sno: ""set. - 5
- Optional. The CR specifed under
KlusterletAddonConfigis used to override the defaultKlusterletAddonConfigthat is created for the cluster. - 6
- For single-node deployments, define a single host. For three-node deployments, define three hosts. For standard deployments, define three hosts with
role: masterand two or more hosts defined withrole: worker. - 7
- BMC address that you use to access the host. Applies to all cluster types. GitOps ZTP supports iPXE and virtual media booting by using Redfish or IPMI protocols. To use iPXE booting, you must use RHACM 2.8 or later. For more information about BMC addressing, see the Additional resources section.
- 8
- Name of the
bmh-secretCR that you separately create with the host BMC credentials. When creating thebmh-secretCR, use the same namespace as theSiteConfigCR that provisions the host. - 9
- Configures the boot mode for the host. The default value is
UEFI. UseUEFISecureBootto enable secure boot on the host. - 10
- Specifies the device for deployment. Identifiers that are stable across reboots are recommended, for example
wwn: <disk_wwn>ordeviceName: /dev/disk/by-path/<device_path>. For a detailed list of stable identifiers, see the About root device hints section. - 11
cpusetmust match the value set in the clusterPerformanceProfileCRspec.cpu.reservedfield for workload partitioning.- 12
- Specifies the network settings for the node.
- 13
- Configures the IPv6 address for the host. For single-node OpenShift clusters with static IP addresses, the node-specific API and Ingress IPs should be the same.
-
You can inspect the default set of extra-manifest
MachineConfigCRs inout/argocd/extra-manifest. It is automatically applied to the cluster when it is installed. Optional: To provision additional install-time manifests on the provisioned cluster, create a directory in your Git repository, for example,
sno-extra-manifest/, and add your custom manifest CRs to this directory. If yourSiteConfig.yamlrefers to this directory in theextraManifestPathfield, any CRs in this referenced directory are appended to the default set of extra manifests.Enabling the crun OCI container runtimeFor optimal cluster performance, enable crun for master and worker nodes in single-node OpenShift, single-node OpenShift with additional worker nodes, three-node OpenShift, and standard clusters.
Enable crun in a
ContainerRuntimeConfigCR as an additional day-0 install-time manifest to avoid the cluster having to reboot.The
enable-crun-master.yamlandenable-crun-worker.yamlCR files are in theout/source-crs/optional-extra-manifest/folder that you can extract from theztp-site-generatecontainer. For more information, see "Customizing extra installation manifests in the GitOps ZTP pipeline".
-
Add the
SiteConfigCR to thekustomization.yamlfile in thegeneratorssection, similar to the example shown inout/argocd/example/siteconfig/kustomization.yaml. Commit the
SiteConfigCR and associatedkustomization.yamlchanges in your Git repository and push the changes.The ArgoCD pipeline detects the changes and begins the managed cluster deployment.
Additional resources
- Customizing extra installation manifests in the GitOps ZTP pipeline
- Preparing the GitOps ZTP site configuration repository
- Configuring the hub cluster with ArgoCD
- Signalling ZTP cluster deployment completion with validator inform policies
- Creating the managed bare-metal host secrets
- BMC addressing
- About root device hints
17.3.6. Monitoring managed cluster installation progress
The ArgoCD pipeline uses the SiteConfig CR to generate the cluster configuration CRs and syncs it with the hub cluster. You can monitor the progress of the synchronization in the ArgoCD dashboard.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges.
Procedure
When the synchronization is complete, the installation generally proceeds as follows:
The Assisted Service Operator installs OpenShift Container Platform on the cluster. You can monitor the progress of cluster installation from the RHACM dashboard or from the command line by running the following commands:
Export the cluster name:
$ export CLUSTER=<clusterName>
Query the
AgentClusterInstallCR for the managed cluster:$ oc get agentclusterinstall -n $CLUSTER $CLUSTER -o jsonpath='{.status.conditions[?(@.type=="Completed")]}' | jqGet the installation events for the cluster:
$ curl -sk $(oc get agentclusterinstall -n $CLUSTER $CLUSTER -o jsonpath='{.status.debugInfo.eventsURL}') | jq '.[-2,-1]'
17.3.7. Troubleshooting GitOps ZTP by validating the installation CRs
The ArgoCD pipeline uses the SiteConfig and PolicyGenTemplate custom resources (CRs) to generate the cluster configuration CRs and Red Hat Advanced Cluster Management (RHACM) policies. Use the following steps to troubleshoot issues that might occur during this process.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges.
Procedure
Check that the installation CRs were created by using the following command:
$ oc get AgentClusterInstall -n <cluster_name>
If no object is returned, use the following steps to troubleshoot the ArgoCD pipeline flow from
SiteConfigfiles to the installation CRs.Verify that the
ManagedClusterCR was generated using theSiteConfigCR on the hub cluster:$ oc get managedcluster
If the
ManagedClusteris missing, check if theclustersapplication failed to synchronize the files from the Git repository to the hub cluster:$ oc describe -n openshift-gitops application clusters
Check for the
Status.Conditionsfield to view the error logs for the managed cluster. For example, setting an invalid value forextraManifestPath:in theSiteConfigCR raises the following error:Status: Conditions: Last Transition Time: 2021-11-26T17:21:39Z Message: rpc error: code = Unknown desc = `kustomize build /tmp/https___git.com/ran-sites/siteconfigs/ --enable-alpha-plugins` failed exit status 1: 2021/11/26 17:21:40 Error could not create extra-manifest ranSite1.extra-manifest3 stat extra-manifest3: no such file or directory 2021/11/26 17:21:40 Error: could not build the entire SiteConfig defined by /tmp/kust-plugin-config-913473579: stat extra-manifest3: no such file or directory Error: failure in plugin configured via /tmp/kust-plugin-config-913473579; exit status 1: exit status 1 Type: ComparisonErrorCheck the
Status.Syncfield. If there are log errors, theStatus.Syncfield could indicate anUnknownerror:Status: Sync: Compared To: Destination: Namespace: clusters-sub Server: https://kubernetes.default.svc Source: Path: sites-config Repo URL: https://git.com/ran-sites/siteconfigs/.git Target Revision: master Status: Unknown
17.3.8. Removing a managed cluster site from the GitOps ZTP pipeline
You can remove a managed site and the associated installation and configuration policy CRs from the GitOps Zero Touch Provisioning (ZTP) pipeline.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges.
Precedure
Remove a site and the associated CRs by removing the associated
SiteConfigandPolicyGenTemplatefiles from thekustomization.yamlfile.When you run the GitOps ZTP pipeline again, the generated CRs are removed.
-
Optional: If you want to permanently remove a site, you should also remove the
SiteConfigand site-specificPolicyGenTemplatefiles from the Git repository. -
Optional: If you want to remove a site temporarily, for example when redeploying a site, you can leave the
SiteConfigand site-specificPolicyGenTemplateCRs in the Git repository.
After removing the SiteConfig file from the Git repository, if the corresponding clusters get stuck in the detach process, check Red Hat Advanced Cluster Management (RHACM) on the hub cluster for information about cleaning up the detached cluster.
Additional resources
- For information about removing a cluster, see Removing a cluster from management.
17.3.9. Removing obsolete content from the GitOps ZTP pipeline
If a change to the PolicyGenTemplate configuration results in obsolete policies, for example, if you rename policies, use the following procedure to remove the obsolete policies.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges.
Procedure
-
Remove the affected
PolicyGenTemplatefiles from the Git repository, commit and push to the remote repository. - Wait for the changes to synchronize through the application and the affected policies to be removed from the hub cluster.
Add the updated
PolicyGenTemplatefiles back to the Git repository, and then commit and push to the remote repository.NoteRemoving GitOps Zero Touch Provisioning (ZTP) policies from the Git repository, and as a result also removing them from the hub cluster, does not affect the configuration of the managed cluster. The policy and CRs managed by that policy remains in place on the managed cluster.
Optional: As an alternative, after making changes to
PolicyGenTemplateCRs that result in obsolete policies, you can remove these policies from the hub cluster manually. You can delete policies from the RHACM console using the Governance tab or by running the following command:$ oc delete policy -n <namespace> <policy_name>
17.3.10. Tearing down the GitOps ZTP pipeline
You can remove the ArgoCD pipeline and all generated GitOps Zero Touch Provisioning (ZTP) artifacts.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges.
Procedure
- Detach all clusters from Red Hat Advanced Cluster Management (RHACM) on the hub cluster.
Delete the
kustomization.yamlfile in thedeploymentdirectory using the following command:$ oc delete -k out/argocd/deployment
- Commit and push your changes to the site repository.
17.4. Configuring managed clusters with policies and PolicyGenTemplate resources
Applied policy custom resources (CRs) configure the managed clusters that you provision. You can customize how Red Hat Advanced Cluster Management (RHACM) uses PolicyGenTemplate CRs to generate the applied policy CRs.
17.4.1. About the PolicyGenTemplate CRD
The PolicyGenTemplate custom resource definition (CRD) tells the PolicyGen policy generator what custom resources (CRs) to include in the cluster configuration, how to combine the CRs into the generated policies, and what items in those CRs need to be updated with overlay content.
The following example shows a PolicyGenTemplate CR (common-du-ranGen.yaml) extracted from the ztp-site-generate reference container. The common-du-ranGen.yaml file defines two Red Hat Advanced Cluster Management (RHACM) policies. The polices manage a collection of configuration CRs, one for each unique value of policyName in the CR. common-du-ranGen.yaml creates a single placement binding and a placement rule to bind the policies to clusters based on the labels listed in the bindingRules section.
Example PolicyGenTemplate CR - common-du-ranGen.yaml
---
apiVersion: ran.openshift.io/v1
kind: PolicyGenTemplate
metadata:
name: "common"
namespace: "ztp-common"
spec:
bindingRules:
common: "true" 1
sourceFiles: 2
- fileName: SriovSubscription.yaml
policyName: "subscriptions-policy"
- fileName: SriovSubscriptionNS.yaml
policyName: "subscriptions-policy"
- fileName: SriovSubscriptionOperGroup.yaml
policyName: "subscriptions-policy"
- fileName: SriovOperatorStatus.yaml
policyName: "subscriptions-policy"
- fileName: PtpSubscription.yaml
policyName: "subscriptions-policy"
- fileName: PtpSubscriptionNS.yaml
policyName: "subscriptions-policy"
- fileName: PtpSubscriptionOperGroup.yaml
policyName: "subscriptions-policy"
- fileName: PtpOperatorStatus.yaml
policyName: "subscriptions-policy"
- fileName: ClusterLogNS.yaml
policyName: "subscriptions-policy"
- fileName: ClusterLogOperGroup.yaml
policyName: "subscriptions-policy"
- fileName: ClusterLogSubscription.yaml
policyName: "subscriptions-policy"
- fileName: ClusterLogOperatorStatus.yaml
policyName: "subscriptions-policy"
- fileName: StorageNS.yaml
policyName: "subscriptions-policy"
- fileName: StorageOperGroup.yaml
policyName: "subscriptions-policy"
- fileName: StorageSubscription.yaml
policyName: "subscriptions-policy"
- fileName: StorageOperatorStatus.yaml
policyName: "subscriptions-policy"
- fileName: ReduceMonitoringFootprint.yaml
policyName: "config-policy"
- fileName: OperatorHub.yaml 3
policyName: "config-policy"
- fileName: DefaultCatsrc.yaml 4
policyName: "config-policy" 5
metadata:
name: redhat-operators
spec:
displayName: disconnected-redhat-operators
image: registry.example.com:5000/disconnected-redhat-operators/disconnected-redhat-operator-index:v4.9
- fileName: DisconnectedICSP.yaml
policyName: "config-policy"
spec:
repositoryDigestMirrors:
- mirrors:
- registry.example.com:5000
source: registry.redhat.io
- 1
common: "true"applies the policies to all clusters with this label.- 2
- Files listed under
sourceFilescreate the Operator policies for installed clusters. - 3
OperatorHub.yamlconfigures the OperatorHub for the disconnected registry.- 4
DefaultCatsrc.yamlconfigures the catalog source for the disconnected registry.- 5
policyName: "config-policy"configures Operator subscriptions. TheOperatorHubCR disables the default and this CR replacesredhat-operatorswith aCatalogSourceCR that points to the disconnected registry.
A PolicyGenTemplate CR can be constructed with any number of included CRs. Apply the following example CR in the hub cluster to generate a policy containing a single CR:
apiVersion: ran.openshift.io/v1
kind: PolicyGenTemplate
metadata:
name: "group-du-sno"
namespace: "ztp-group"
spec:
bindingRules:
group-du-sno: ""
mcp: "master"
sourceFiles:
- fileName: PtpConfigSlave.yaml
policyName: "config-policy"
metadata:
name: "du-ptp-slave"
spec:
profile:
- name: "slave"
interface: "ens5f0"
ptp4lOpts: "-2 -s --summary_interval -4"
phc2sysOpts: "-a -r -n 24"
Using the source file PtpConfigSlave.yaml as an example, the file defines a PtpConfig CR. The generated policy for the PtpConfigSlave example is named group-du-sno-config-policy. The PtpConfig CR defined in the generated group-du-sno-config-policy is named du-ptp-slave. The spec defined in PtpConfigSlave.yaml is placed under du-ptp-slave along with the other spec items defined under the source file.
The following example shows the group-du-sno-config-policy CR:
apiVersion: policy.open-cluster-management.io/v1
kind: Policy
metadata:
name: group-du-ptp-config-policy
namespace: groups-sub
annotations:
policy.open-cluster-management.io/categories: CM Configuration Management
policy.open-cluster-management.io/controls: CM-2 Baseline Configuration
policy.open-cluster-management.io/standards: NIST SP 800-53
spec:
remediationAction: inform
disabled: false
policy-templates:
- objectDefinition:
apiVersion: policy.open-cluster-management.io/v1
kind: ConfigurationPolicy
metadata:
name: group-du-ptp-config-policy-config
spec:
remediationAction: inform
severity: low
namespaceselector:
exclude:
- kube-*
include:
- '*'
object-templates:
- complianceType: musthave
objectDefinition:
apiVersion: ptp.openshift.io/v1
kind: PtpConfig
metadata:
name: du-ptp-slave
namespace: openshift-ptp
spec:
recommend:
- match:
- nodeLabel: node-role.kubernetes.io/worker-du
priority: 4
profile: slave
profile:
- interface: ens5f0
name: slave
phc2sysOpts: -a -r -n 24
ptp4lConf: |
[global]
#
# Default Data Set
#
twoStepFlag 1
slaveOnly 0
priority1 128
priority2 128
domainNumber 24
.....17.4.2. Recommendations when customizing PolicyGenTemplate CRs
Consider the following best practices when customizing site configuration PolicyGenTemplate custom resources (CRs):
-
Use as few policies as are necessary. Using fewer policies requires less resources. Each additional policy creates overhead for the hub cluster and the deployed managed cluster. CRs are combined into policies based on the
policyNamefield in thePolicyGenTemplateCR. CRs in the samePolicyGenTemplatewhich have the same value forpolicyNameare managed under a single policy. -
In disconnected environments, use a single catalog source for all Operators by configuring the registry as a single index containing all Operators. Each additional
CatalogSourceCR on the managed clusters increases CPU usage. -
MachineConfigCRs should be included asextraManifestsin theSiteConfigCR so that they are applied during installation. This can reduce the overall time taken until the cluster is ready to deploy applications. -
PolicyGenTemplatesshould override the channel field to explicitly identify the desired version. This ensures that changes in the source CR during upgrades does not update the generated subscription.
Additional resources
- For recommendations about scaling clusters with RHACM, see Performance and scalability.
When managing large numbers of spoke clusters on the hub cluster, minimize the number of policies to reduce resource consumption.
Grouping multiple configuration CRs into a single or limited number of policies is one way to reduce the overall number of policies on the hub cluster. When using the common, group, and site hierarchy of policies for managing site configuration, it is especially important to combine site-specific configuration into a single policy.
17.4.3. PolicyGenTemplate CRs for RAN deployments
Use PolicyGenTemplate (PGT) custom resources (CRs) to customize the configuration applied to the cluster by using the GitOps Zero Touch Provisioning (ZTP) pipeline. The PGT CR allows you to generate one or more policies to manage the set of configuration CRs on your fleet of clusters. The PGT identifies the set of managed CRs, bundles them into policies, builds the policy wrapping around those CRs, and associates the policies with clusters by using label binding rules.
The reference configuration, obtained from the GitOps ZTP container, is designed to provide a set of critical features and node tuning settings that ensure the cluster can support the stringent performance and resource utilization constraints typical of RAN (Radio Access Network) Distributed Unit (DU) applications. Changes or omissions from the baseline configuration can affect feature availability, performance, and resource utilization. Use the reference PolicyGenTemplate CRs as the basis to create a hierarchy of configuration files tailored to your specific site requirements.
The baseline PolicyGenTemplate CRs that are defined for RAN DU cluster configuration can be extracted from the GitOps ZTP ztp-site-generate container. See "Preparing the GitOps ZTP site configuration repository" for further details.
The PolicyGenTemplate CRs can be found in the ./out/argocd/example/policygentemplates folder. The reference architecture has common, group, and site-specific configuration CRs. Each PolicyGenTemplate CR refers to other CRs that can be found in the ./out/source-crs folder.
The PolicyGenTemplate CRs relevant to RAN cluster configuration are described below. Variants are provided for the group PolicyGenTemplate CRs to account for differences in single-node, three-node compact, and standard cluster configurations. Similarly, site-specific configuration variants are provided for single-node clusters and multi-node (compact or standard) clusters. Use the group and site-specific configuration variants that are relevant for your deployment.
Table 17.3. PolicyGenTemplate CRs for RAN deployments
| PolicyGenTemplate CR | Description |
|---|---|
|
| Contains a set of CRs that get applied to multi-node clusters. These CRs configure SR-IOV features typical for RAN installations. |
|
| Contains a set of CRs that get applied to single-node OpenShift clusters. These CRs configure SR-IOV features typical for RAN installations. |
|
| Contains a set of common RAN CRs that get applied to all clusters. These CRs subscribe to a set of operators providing cluster features typical for RAN as well as baseline cluster tuning. |
|
| Contains the RAN policies for three-node clusters only. |
|
| Contains the RAN policies for single-node clusters only. |
|
| Contains the RAN policies for standard three control-plane clusters. |
|
|
|
|
|
|
|
|
|
Additional resources
17.4.4. Customizing a managed cluster with PolicyGenTemplate CRs
Use the following procedure to customize the policies that get applied to the managed cluster that you provision using the GitOps Zero Touch Provisioning (ZTP) pipeline.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. - You configured the hub cluster for generating the required installation and policy CRs.
- You created a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and be defined as a source repository for the Argo CD application.
Procedure
Create a
PolicyGenTemplateCR for site-specific configuration CRs.-
Choose the appropriate example for your CR from the
out/argocd/example/policygentemplatesfolder, for example,example-sno-site.yamlorexample-multinode-site.yaml. Change the
bindingRulesfield in the example file to match the site-specific label included in theSiteConfigCR. In the exampleSiteConfigfile, the site-specific label issites: example-sno.NoteEnsure that the labels defined in your
PolicyGenTemplatebindingRulesfield correspond to the labels that are defined in the related managed clustersSiteConfigCR.- Change the content in the example file to match the desired configuration.
-
Choose the appropriate example for your CR from the
Optional: Create a
PolicyGenTemplateCR for any common configuration CRs that apply to the entire fleet of clusters.-
Select the appropriate example for your CR from the
out/argocd/example/policygentemplatesfolder, for example,common-ranGen.yaml. - Change the content in the example file to match the desired configuration.
-
Select the appropriate example for your CR from the
Optional: Create a
PolicyGenTemplateCR for any group configuration CRs that apply to the certain groups of clusters in the fleet.Ensure that the content of the overlaid spec files matches your desired end state. As a reference, the out/source-crs directory contains the full list of source-crs available to be included and overlaid by your PolicyGenTemplate templates.
NoteDepending on the specific requirements of your clusters, you might need more than a single group policy per cluster type, especially considering that the example group policies each have a single PerformancePolicy.yaml file that can only be shared across a set of clusters if those clusters consist of identical hardware configurations.
-
Select the appropriate example for your CR from the
out/argocd/example/policygentemplatesfolder, for example,group-du-sno-ranGen.yaml. - Change the content in the example file to match the desired configuration.
-
Select the appropriate example for your CR from the
-
Optional. Create a validator inform policy
PolicyGenTemplateCR to signal when the GitOps ZTP installation and configuration of the deployed cluster is complete. For more information, see "Creating a validator inform policy". Define all the policy namespaces in a YAML file similar to the example
out/argocd/example/policygentemplates/ns.yamlfile.ImportantDo not include the
NamespaceCR in the same file with thePolicyGenTemplateCR.-
Add the
PolicyGenTemplateCRs andNamespaceCR to thekustomization.yamlfile in the generators section, similar to the example shown inout/argocd/example/policygentemplates/kustomization.yaml. Commit the
PolicyGenTemplateCRs,NamespaceCR, and associatedkustomization.yamlfile in your Git repository and push the changes.The ArgoCD pipeline detects the changes and begins the managed cluster deployment. You can push the changes to the
SiteConfigCR and thePolicyGenTemplateCR simultaneously.
Additional resources
17.4.5. Monitoring managed cluster policy deployment progress
The ArgoCD pipeline uses PolicyGenTemplate CRs in Git to generate the RHACM policies and then sync them to the hub cluster. You can monitor the progress of the managed cluster policy synchronization after the assisted service installs OpenShift Container Platform on the managed cluster.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges.
Procedure
The Topology Aware Lifecycle Manager (TALM) applies the configuration policies that are bound to the cluster.
After the cluster installation is complete and the cluster becomes
Ready, aClusterGroupUpgradeCR corresponding to this cluster, with a list of ordered policies defined by theran.openshift.io/ztp-deploy-wave annotations, is automatically created by the TALM. The cluster’s policies are applied in the order listed inClusterGroupUpgradeCR.You can monitor the high-level progress of configuration policy reconciliation by using the following commands:
$ export CLUSTER=<clusterName>
$ oc get clustergroupupgrades -n ztp-install $CLUSTER -o jsonpath='{.status.conditions[-1:]}' | jqExample output
{ "lastTransitionTime": "2022-11-09T07:28:09Z", "message": "Remediating non-compliant policies", "reason": "InProgress", "status": "True", "type": "Progressing" }You can monitor the detailed cluster policy compliance status by using the RHACM dashboard or the command line.
To check policy compliance by using
oc, run the following command:$ oc get policies -n $CLUSTER
Example output
NAME REMEDIATION ACTION COMPLIANCE STATE AGE ztp-common.common-config-policy inform Compliant 3h42m ztp-common.common-subscriptions-policy inform NonCompliant 3h42m ztp-group.group-du-sno-config-policy inform NonCompliant 3h42m ztp-group.group-du-sno-validator-du-policy inform NonCompliant 3h42m ztp-install.example1-common-config-policy-pjz9s enforce Compliant 167m ztp-install.example1-common-subscriptions-policy-zzd9k enforce NonCompliant 164m ztp-site.example1-config-policy inform NonCompliant 3h42m ztp-site.example1-perf-policy inform NonCompliant 3h42m
To check policy status from the RHACM web console, perform the following actions:
- Click Governance → Find policies.
- Click on a cluster policy to check it’s status.
When all of the cluster policies become compliant, GitOps ZTP installation and configuration for the cluster is complete. The ztp-done label is added to the cluster.
In the reference configuration, the final policy that becomes compliant is the one defined in the *-du-validator-policy policy. This policy, when compliant on a cluster, ensures that all cluster configuration, Operator installation, and Operator configuration is complete.
17.4.6. Validating the generation of configuration policy CRs
Policy custom resources (CRs) are generated in the same namespace as the PolicyGenTemplate from which they are created. The same troubleshooting flow applies to all policy CRs generated from a PolicyGenTemplate regardless of whether they are ztp-common, ztp-group, or ztp-site based, as shown using the following commands:
$ export NS=<namespace>
$ oc get policy -n $NS
The expected set of policy-wrapped CRs should be displayed.
If the policies failed synchronization, use the following troubleshooting steps.
Procedure
To display detailed information about the policies, run the following command:
$ oc describe -n openshift-gitops application policies
Check for
Status: Conditions:to show the error logs. For example, setting an invalidsourceFile→fileName:generates the error shown below:Status: Conditions: Last Transition Time: 2021-11-26T17:21:39Z Message: rpc error: code = Unknown desc = `kustomize build /tmp/https___git.com/ran-sites/policies/ --enable-alpha-plugins` failed exit status 1: 2021/11/26 17:21:40 Error could not find test.yaml under source-crs/: no such file or directory Error: failure in plugin configured via /tmp/kust-plugin-config-52463179; exit status 1: exit status 1 Type: ComparisonErrorCheck for
Status: Sync:. If there are log errors atStatus: Conditions:, theStatus: Sync:showsUnknownorError:Status: Sync: Compared To: Destination: Namespace: policies-sub Server: https://kubernetes.default.svc Source: Path: policies Repo URL: https://git.com/ran-sites/policies/.git Target Revision: master Status: ErrorWhen Red Hat Advanced Cluster Management (RHACM) recognizes that policies apply to a
ManagedClusterobject, the policy CR objects are applied to the cluster namespace. Check to see if the policies were copied to the cluster namespace:$ oc get policy -n $CLUSTER
Example output:
NAME REMEDIATION ACTION COMPLIANCE STATE AGE ztp-common.common-config-policy inform Compliant 13d ztp-common.common-subscriptions-policy inform Compliant 13d ztp-group.group-du-sno-config-policy inform Compliant 13d Ztp-group.group-du-sno-validator-du-policy inform Compliant 13d ztp-site.example-sno-config-policy inform Compliant 13d
RHACM copies all applicable policies into the cluster namespace. The copied policy names have the format:
<policyGenTemplate.Namespace>.<policyGenTemplate.Name>-<policyName>.Check the placement rule for any policies not copied to the cluster namespace. The
matchSelectorin thePlacementRulefor those policies should match labels on theManagedClusterobject:$ oc get placementrule -n $NS
Note the
PlacementRulename appropriate for the missing policy, common, group, or site, using the following command:$ oc get placementrule -n $NS <placementRuleName> -o yaml
- The status-decisions should include your cluster name.
-
The key-value pair of the
matchSelectorin the spec must match the labels on your managed cluster.
Check the labels on the
ManagedClusterobject using the following command:$ oc get ManagedCluster $CLUSTER -o jsonpath='{.metadata.labels}' | jqCheck to see which policies are compliant using the following command:
$ oc get policy -n $CLUSTER
If the
Namespace,OperatorGroup, andSubscriptionpolicies are compliant but the Operator configuration policies are not, it is likely that the Operators did not install on the managed cluster. This causes the Operator configuration policies to fail to apply because the CRD is not yet applied to the spoke.
17.4.7. Restarting policy reconciliation
You can restart policy reconciliation when unexpected compliance issues occur, for example, when the ClusterGroupUpgrade custom resource (CR) has timed out.
Procedure
A
ClusterGroupUpgradeCR is generated in the namespaceztp-installby the Topology Aware Lifecycle Manager after the managed cluster becomesReady:$ export CLUSTER=<clusterName>
$ oc get clustergroupupgrades -n ztp-install $CLUSTER
If there are unexpected issues and the policies fail to become complaint within the configured timeout (the default is 4 hours), the status of the
ClusterGroupUpgradeCR showsUpgradeTimedOut:$ oc get clustergroupupgrades -n ztp-install $CLUSTER -o jsonpath='{.status.conditions[?(@.type=="Ready")]}'A
ClusterGroupUpgradeCR in theUpgradeTimedOutstate automatically restarts its policy reconciliation every hour. If you have changed your policies, you can start a retry immediately by deleting the existingClusterGroupUpgradeCR. This triggers the automatic creation of a newClusterGroupUpgradeCR that begins reconciling the policies immediately:$ oc delete clustergroupupgrades -n ztp-install $CLUSTER
Note that when the ClusterGroupUpgrade CR completes with status UpgradeCompleted and the managed cluster has the label ztp-done applied, you can make additional configuration changes using PolicyGenTemplate. Deleting the existing ClusterGroupUpgrade CR will not make the TALM generate a new CR.
At this point, GitOps ZTP has completed its interaction with the cluster and any further interactions should be treated as an update and a new ClusterGroupUpgrade CR created for remediation of the policies.
Additional resources
-
For information about using Topology Aware Lifecycle Manager (TALM) to construct your own
ClusterGroupUpgradeCR, see About the ClusterGroupUpgrade CR.
17.4.8. Indication of done for GitOps ZTP installations
GitOps Zero Touch Provisioning (ZTP) simplifies the process of checking the GitOps ZTP installation status for a cluster. The GitOps ZTP status moves through three phases: cluster installation, cluster configuration, and GitOps ZTP done.
- Cluster installation phase
-
The cluster installation phase is shown by the
ManagedClusterJoinedandManagedClusterAvailableconditions in theManagedClusterCR . If theManagedClusterCR does not have these conditions, or the condition is set toFalse, the cluster is still in the installation phase. Additional details about installation are available from theAgentClusterInstallandClusterDeploymentCRs. For more information, see "Troubleshooting GitOps ZTP". - Cluster configuration phase
-
The cluster configuration phase is shown by a
ztp-runninglabel applied theManagedClusterCR for the cluster. - GitOps ZTP done
Cluster installation and configuration is complete in the GitOps ZTP done phase. This is shown by the removal of the
ztp-runninglabel and addition of theztp-donelabel to theManagedClusterCR. Theztp-donelabel shows that the configuration has been applied and the baseline DU configuration has completed cluster tuning.The transition to the GitOps ZTP done state is conditional on the compliant state of a Red Hat Advanced Cluster Management (RHACM) validator inform policy. This policy captures the existing criteria for a completed installation and validates that it moves to a compliant state only when GitOps ZTP provisioning of the managed cluster is complete.
The validator inform policy ensures the configuration of the cluster is fully applied and Operators have completed their initialization. The policy validates the following:
-
The target
MachineConfigPoolcontains the expected entries and has finished updating. All nodes are available and not degraded. -
The SR-IOV Operator has completed initialization as indicated by at least one
SriovNetworkNodeStatewithsyncStatus: Succeeded. - The PTP Operator daemon set exists.
-
The target
17.5. Manually installing a single-node OpenShift cluster with ZTP
You can deploy a managed single-node OpenShift cluster by using Red Hat Advanced Cluster Management (RHACM) and the assisted service.
If you are creating multiple managed clusters, use the SiteConfig method described in Deploying far edge sites with ZTP.
The target bare-metal host must meet the networking, firmware, and hardware requirements listed in Recommended cluster configuration for vDU application workloads.
17.5.1. Generating GitOps ZTP installation and configuration CRs manually
Use the generator entrypoint for the ztp-site-generate container to generate the site installation and configuration custom resource (CRs) for a cluster based on SiteConfig and PolicyGenTemplate CRs.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges.
Procedure
Create an output folder by running the following command:
$ mkdir -p ./out
Export the
argocddirectory from theztp-site-generatecontainer image:$ podman run --log-driver=none --rm registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.13 extract /home/ztp --tar | tar x -C ./out
The
./outdirectory has the referencePolicyGenTemplateandSiteConfigCRs in theout/argocd/example/folder.Example output
out └── argocd └── example ├── policygentemplates │ ├── common-ranGen.yaml │ ├── example-sno-site.yaml │ ├── group-du-sno-ranGen.yaml │ ├── group-du-sno-validator-ranGen.yaml │ ├── kustomization.yaml │ └── ns.yaml └── siteconfig ├── example-sno.yaml ├── KlusterletAddonConfigOverride.yaml └── kustomization.yamlCreate an output folder for the site installation CRs:
$ mkdir -p ./site-install
Modify the example
SiteConfigCR for the cluster type that you want to install. Copyexample-sno.yamltosite-1-sno.yamland modify the CR to match the details of the site and bare-metal host that you want to install, for example:Example single-node OpenShift cluster SiteConfig CR
apiVersion: ran.openshift.io/v1 kind: SiteConfig metadata: name: "<site_name>" namespace: "<site_name>" spec: baseDomain: "example.com" pullSecretRef: name: "assisted-deployment-pull-secret" 1 clusterImageSetNameRef: "openshift-4.13" 2 sshPublicKey: "ssh-rsa AAAA..." 3 clusters: - clusterName: "<site_name>" networkType: "OVNKubernetes" clusterLabels: 4 common: true group-du-sno: "" sites : "<site_name>" clusterNetwork: - cidr: 1001:1::/48 hostPrefix: 64 machineNetwork: - cidr: 1111:2222:3333:4444::/64 serviceNetwork: - 1001:2::/112 additionalNTPSources: - 1111:2222:3333:4444::2 #crTemplates: # KlusterletAddonConfig: "KlusterletAddonConfigOverride.yaml" 5 nodes: - hostName: "example-node.example.com" 6 role: "master" bmcAddress: idrac-virtualmedia://<out_of_band_ip>/<system_id>/ 7 bmcCredentialsName: name: "bmh-secret" 8 bootMACAddress: "AA:BB:CC:DD:EE:11" bootMode: "UEFI" 9 rootDeviceHints: 10 wwn: "0x11111000000asd123" cpuset: "0-1,52-53" 11 nodeNetwork: 12 interfaces: - name: eno1 macAddress: "AA:BB:CC:DD:EE:11" config: interfaces: - name: eno1 type: ethernet state: up ipv4: enabled: false ipv6: 13 enabled: true address: - ip: 1111:2222:3333:4444::aaaa:1 prefix-length: 64 dns-resolver: config: search: - example.com server: - 1111:2222:3333:4444::2 routes: config: - destination: ::/0 next-hop-interface: eno1 next-hop-address: 1111:2222:3333:4444::1 table-id: 254- 1
- Create the
assisted-deployment-pull-secretCR with the same namespace as theSiteConfigCR. - 2
clusterImageSetNameRefdefines an image set available on the hub cluster. To see the list of supported versions on your hub cluster, runoc get clusterimagesets.- 3
- Configure the SSH public key used to access the cluster.
- 4
- Cluster labels must correspond to the
bindingRulesfield in thePolicyGenTemplateCRs that you define. For example,policygentemplates/common-ranGen.yamlapplies to all clusters withcommon: trueset,policygentemplates/group-du-sno-ranGen.yamlapplies to all clusters withgroup-du-sno: ""set. - 5
- Optional. The CR specifed under
KlusterletAddonConfigis used to override the defaultKlusterletAddonConfigthat is created for the cluster. - 6
- For single-node deployments, define a single host. For three-node deployments, define three hosts. For standard deployments, define three hosts with
role: masterand two or more hosts defined withrole: worker. - 7
- BMC address that you use to access the host. Applies to all cluster types. GitOps ZTP supports iPXE and virtual media booting by using Redfish or IPMI protocols. To use iPXE booting, you must use RHACM 2.8 or later. For more information about BMC addressing, see the Additional resources section.
- 8
- Name of the
bmh-secretCR that you separately create with the host BMC credentials. When creating thebmh-secretCR, use the same namespace as theSiteConfigCR that provisions the host. - 9
- Configures the boot mode for the host. The default value is
UEFI. UseUEFISecureBootto enable secure boot on the host. - 10
- Specifies the device for deployment. Identifiers that are stable across reboots are recommended, for example
wwn: <disk_wwn>ordeviceName: /dev/disk/by-path/<device_path>. For a detailed list of stable identifiers, see the About root device hints section. - 11
cpusetmust match the value set in the clusterPerformanceProfileCRspec.cpu.reservedfield for workload partitioning.- 12
- Specifies the network settings for the node.
- 13
- Configures the IPv6 address for the host. For single-node OpenShift clusters with static IP addresses, the node-specific API and Ingress IPs should be the same.
Generate the day-0 installation CRs by processing the modified
SiteConfigCRsite-1-sno.yamlby running the following command:$ podman run -it --rm -v `pwd`/out/argocd/example/siteconfig:/resources:Z -v `pwd`/site-install:/output:Z,U registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.13.1 generator install site-1-sno.yaml /output
Example output
site-install └── site-1-sno ├── site-1_agentclusterinstall_example-sno.yaml ├── site-1-sno_baremetalhost_example-node1.example.com.yaml ├── site-1-sno_clusterdeployment_example-sno.yaml ├── site-1-sno_configmap_example-sno.yaml ├── site-1-sno_infraenv_example-sno.yaml ├── site-1-sno_klusterletaddonconfig_example-sno.yaml ├── site-1-sno_machineconfig_02-master-workload-partitioning.yaml ├── site-1-sno_machineconfig_predefined-extra-manifests-master.yaml ├── site-1-sno_machineconfig_predefined-extra-manifests-worker.yaml ├── site-1-sno_managedcluster_example-sno.yaml ├── site-1-sno_namespace_example-sno.yaml └── site-1-sno_nmstateconfig_example-node1.example.com.yamlOptional: Generate just the day-0
MachineConfiginstallation CRs for a particular cluster type by processing the referenceSiteConfigCR with the-Eoption. For example, run the following commands:Create an output folder for the
MachineConfigCRs:$ mkdir -p ./site-machineconfig
Generate the
MachineConfiginstallation CRs:$ podman run -it --rm -v `pwd`/out/argocd/example/siteconfig:/resources:Z -v `pwd`/site-machineconfig:/output:Z,U registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.13.1 generator install -E site-1-sno.yaml /output
Example output
site-machineconfig └── site-1-sno ├── site-1-sno_machineconfig_02-master-workload-partitioning.yaml ├── site-1-sno_machineconfig_predefined-extra-manifests-master.yaml └── site-1-sno_machineconfig_predefined-extra-manifests-worker.yaml
Generate and export the day-2 configuration CRs using the reference
PolicyGenTemplateCRs from the previous step. Run the following commands:Create an output folder for the day-2 CRs:
$ mkdir -p ./ref
Generate and export the day-2 configuration CRs:
$ podman run -it --rm -v `pwd`/out/argocd/example/policygentemplates:/resources:Z -v `pwd`/ref:/output:Z,U registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.13.1 generator config -N . /output
The command generates example group and site-specific
PolicyGenTemplateCRs for single-node OpenShift, three-node clusters, and standard clusters in the./reffolder.Example output
ref └── customResource ├── common ├── example-multinode-site ├── example-sno ├── group-du-3node ├── group-du-3node-validator │ └── Multiple-validatorCRs ├── group-du-sno ├── group-du-sno-validator ├── group-du-standard └── group-du-standard-validator └── Multiple-validatorCRs
- Use the generated CRs as the basis for the CRs that you use to install the cluster. You apply the installation CRs to the hub cluster as described in "Installing a single managed cluster". The configuration CRs can be applied to the cluster after cluster installation is complete.
Additional resources
17.5.2. Creating the managed bare-metal host secrets
Add the required Secret custom resources (CRs) for the managed bare-metal host to the hub cluster. You need a secret for the GitOps Zero Touch Provisioning (ZTP) pipeline to access the Baseboard Management Controller (BMC) and a secret for the assisted installer service to pull cluster installation images from the registry.
The secrets are referenced from the SiteConfig CR by name. The namespace must match the SiteConfig namespace.
Procedure
Create a YAML secret file containing credentials for the host Baseboard Management Controller (BMC) and a pull secret required for installing OpenShift and all add-on cluster Operators:
Save the following YAML as the file
example-sno-secret.yaml:apiVersion: v1 kind: Secret metadata: name: example-sno-bmc-secret namespace: example-sno 1 data: 2 password: <base64_password> username: <base64_username> type: Opaque --- apiVersion: v1 kind: Secret metadata: name: pull-secret namespace: example-sno 3 data: .dockerconfigjson: <pull_secret> 4 type: kubernetes.io/dockerconfigjson
-
Add the relative path to
example-sno-secret.yamlto thekustomization.yamlfile that you use to install the cluster.
17.5.3. Configuring Discovery ISO kernel arguments for manual installations using GitOps ZTP
The GitOps Zero Touch Provisioning (ZTP) workflow uses the Discovery ISO as part of the OpenShift Container Platform installation process on managed bare-metal hosts. You can edit the InfraEnv resource to specify kernel arguments for the Discovery ISO. This is useful for cluster installations with specific environmental requirements. For example, configure the rd.net.timeout.carrier kernel argument for the Discovery ISO to facilitate static networking for the cluster or to receive a DHCP address before downloading the root file system during installation.
In OpenShift Container Platform 4.13, you can only add kernel arguments. You can not replace or delete kernel arguments.
Prerequisites
- You have installed the OpenShift CLI (oc).
- You have logged in to the hub cluster as a user with cluster-admin privileges.
- You have manually generated the installation and configuration custom resources (CRs).
Procedure
-
Edit the
spec.kernelArgumentsspecification in theInfraEnvCR to configure kernel arguments:
apiVersion: agent-install.openshift.io/v1beta1
kind: InfraEnv
metadata:
name: <cluster_name>
namespace: <cluster_name>
spec:
kernelArguments:
- operation: append 1
value: audit=0 2
- operation: append
value: trace=1
clusterRef:
name: <cluster_name>
namespace: <cluster_name>
pullSecretRef:
name: pull-secret
The SiteConfig CR generates the InfraEnv resource as part of the day-0 installation CRs.
Verification
To verify that the kernel arguments are applied, after the Discovery image verifies that OpenShift Container Platform is ready for installation, you can SSH to the target host before the installation process begins. At that point, you can view the kernel arguments for the Discovery ISO in the /proc/cmdline file.
Begin an SSH session with the target host:
$ ssh -i /path/to/privatekey core@<host_name>
View the system’s kernel arguments by using the following command:
$ cat /proc/cmdline
17.5.4. Installing a single managed cluster
You can manually deploy a single managed cluster using the assisted service and Red Hat Advanced Cluster Management (RHACM).
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. -
You have created the baseboard management controller (BMC)
Secretand the image pull-secretSecretcustom resources (CRs). See "Creating the managed bare-metal host secrets" for details. - Your target bare-metal host meets the networking and hardware requirements for managed clusters.
Procedure
Create a
ClusterImageSetfor each specific cluster version to be deployed, for exampleclusterImageSet-4.13.yaml. AClusterImageSethas the following format:apiVersion: hive.openshift.io/v1 kind: ClusterImageSet metadata: name: openshift-4.13.0 1 spec: releaseImage: quay.io/openshift-release-dev/ocp-release:4.13.0-x86_64 2
Apply the
clusterImageSetCR:$ oc apply -f clusterImageSet-4.13.yaml
Create the
NamespaceCR in thecluster-namespace.yamlfile:apiVersion: v1 kind: Namespace metadata: name: <cluster_name> 1 labels: name: <cluster_name> 2Apply the
NamespaceCR by running the following command:$ oc apply -f cluster-namespace.yaml
Apply the generated day-0 CRs that you extracted from the
ztp-site-generatecontainer and customized to meet your requirements:$ oc apply -R ./site-install/site-sno-1
17.5.5. Monitoring the managed cluster installation status
Ensure that cluster provisioning was successful by checking the cluster status.
Prerequisites
-
All of the custom resources have been configured and provisioned, and the
Agentcustom resource is created on the hub for the managed cluster.
Procedure
Check the status of the managed cluster:
$ oc get managedcluster
Trueindicates the managed cluster is ready.Check the agent status:
$ oc get agent -n <cluster_name>
Use the
describecommand to provide an in-depth description of the agent’s condition. Statuses to be aware of includeBackendError,InputError,ValidationsFailing,InstallationFailed, andAgentIsConnected. These statuses are relevant to theAgentandAgentClusterInstallcustom resources.$ oc describe agent -n <cluster_name>
Check the cluster provisioning status:
$ oc get agentclusterinstall -n <cluster_name>
Use the
describecommand to provide an in-depth description of the cluster provisioning status:$ oc describe agentclusterinstall -n <cluster_name>
Check the status of the managed cluster’s add-on services:
$ oc get managedclusteraddon -n <cluster_name>
Retrieve the authentication information of the
kubeconfigfile for the managed cluster:$ oc get secret -n <cluster_name> <cluster_name>-admin-kubeconfig -o jsonpath={.data.kubeconfig} | base64 -d > <directory>/<cluster_name>-kubeconfig
17.5.6. Troubleshooting the managed cluster
Use this procedure to diagnose any installation issues that might occur with the managed cluster.
Procedure
Check the status of the managed cluster:
$ oc get managedcluster
Example output
NAME HUB ACCEPTED MANAGED CLUSTER URLS JOINED AVAILABLE AGE SNO-cluster true True True 2d19h
If the status in the
AVAILABLEcolumn isTrue, the managed cluster is being managed by the hub.If the status in the
AVAILABLEcolumn isUnknown, the managed cluster is not being managed by the hub. Use the following steps to continue checking to get more information.Check the
AgentClusterInstallinstall status:$ oc get clusterdeployment -n <cluster_name>
Example output
NAME PLATFORM REGION CLUSTERTYPE INSTALLED INFRAID VERSION POWERSTATE AGE Sno0026 agent-baremetal false Initialized 2d14h
If the status in the
INSTALLEDcolumn isfalse, the installation was unsuccessful.If the installation failed, enter the following command to review the status of the
AgentClusterInstallresource:$ oc describe agentclusterinstall -n <cluster_name> <cluster_name>
Resolve the errors and reset the cluster:
Remove the cluster’s managed cluster resource:
$ oc delete managedcluster <cluster_name>
Remove the cluster’s namespace:
$ oc delete namespace <cluster_name>
This deletes all of the namespace-scoped custom resources created for this cluster. You must wait for the
ManagedClusterCR deletion to complete before proceeding.- Recreate the custom resources for the managed cluster.
17.5.7. RHACM generated cluster installation CRs reference
Red Hat Advanced Cluster Management (RHACM) supports deploying OpenShift Container Platform on single-node clusters, three-node clusters, and standard clusters with a specific set of installation custom resources (CRs) that you generate using SiteConfig CRs for each site.
Every managed cluster has its own namespace, and all of the installation CRs except for ManagedCluster and ClusterImageSet are under that namespace. ManagedCluster and ClusterImageSet are cluster-scoped, not namespace-scoped. The namespace and the CR names match the cluster name.
The following table lists the installation CRs that are automatically applied by the RHACM assisted service when it installs clusters using the SiteConfig CRs that you configure.
Table 17.4. Cluster installation CRs generated by RHACM
| CR | Description | Usage |
|---|---|---|
|
| Contains the connection information for the Baseboard Management Controller (BMC) of the target bare-metal host. | Provides access to the BMC to load and start the discovery image on the target server. GitOps Zero Touch Provisioning (ZTP) supports iPXE and virtual media booting by using Redfish or IPMI protocols. To use iPXE booting, you must use RHACM 2.8 or later. |
|
| Contains information for installing OpenShift Container Platform on the target bare-metal host. |
Used with |
|
|
Specifies details of the managed cluster configuration such as networking and the number of control plane nodes. Displays the cluster | Specifies the managed cluster configuration information and provides status during the installation of the cluster. |
|
|
References the |
Used with |
|
|
Provides network configuration information such as | Sets up a static IP address for the managed cluster’s Kube API server. |
|
| Contains hardware information about the target bare-metal host. | Created automatically on the hub when the target machine’s discovery image boots. |
|
| When a cluster is managed by the hub, it must be imported and known. This Kubernetes object provides that interface. | The hub uses this resource to manage and show the status of managed clusters. |
|
|
Contains the list of services provided by the hub to be deployed to the |
Tells the hub which addon services to deploy to the |
|
|
Logical space for |
Propagates resources to the |
|
|
Two CRs are created: |
|
|
| Contains OpenShift Container Platform image information such as the repository and image name. | Passed into resources to provide OpenShift Container Platform images. |
17.6. Recommended single-node OpenShift cluster configuration for vDU application workloads
Use the following reference information to understand the single-node OpenShift configurations required to deploy virtual distributed unit (vDU) applications in the cluster. Configurations include cluster optimizations for high performance workloads, enabling workload partitioning, and minimizing the number of reboots required post-installation.
Additional resources
- To deploy a single cluster by hand, see Manually installing a single-node OpenShift cluster with GitOps ZTP.
- To deploy a fleet of clusters using GitOps Zero Touch Provisioning (ZTP), see Deploying far edge sites with GitOps ZTP.
17.6.1. Running low latency applications on OpenShift Container Platform
OpenShift Container Platform enables low latency processing for applications running on commercial off-the-shelf (COTS) hardware by using several technologies and specialized hardware devices:
- Real-time kernel for RHCOS
- Ensures workloads are handled with a high degree of process determinism.
- CPU isolation
- Avoids CPU scheduling delays and ensures CPU capacity is available consistently.
- NUMA-aware topology management
- Aligns memory and huge pages with CPU and PCI devices to pin guaranteed container memory and huge pages to the non-uniform memory access (NUMA) node. Pod resources for all Quality of Service (QoS) classes stay on the same NUMA node. This decreases latency and improves performance of the node.
- Huge pages memory management
- Using huge page sizes improves system performance by reducing the amount of system resources required to access page tables.
- Precision timing synchronization using PTP
- Allows synchronization between nodes in the network with sub-microsecond accuracy.
17.6.2. Recommended cluster host requirements for vDU application workloads
Running vDU application workloads requires a bare-metal host with sufficient resources to run OpenShift Container Platform services and production workloads.
Table 17.5. Minimum resource requirements
| Profile | vCPU | Memory | Storage |
|---|---|---|---|
| Minimum | 4 to 8 vCPU cores | 32GB of RAM | 120GB |
One vCPU is equivalent to one physical core when simultaneous multithreading (SMT), or Hyper-Threading, is not enabled. When enabled, use the following formula to calculate the corresponding ratio:
- (threads per core × cores) × sockets = vCPUs
The server must have a Baseboard Management Controller (BMC) when booting with virtual media.
17.6.3. Configuring host firmware for low latency and high performance
Bare-metal hosts require the firmware to be configured before the host can be provisioned. The firmware configuration is dependent on the specific hardware and the particular requirements of your installation.
Procedure
-
Set the UEFI/BIOS Boot Mode to
UEFI. - In the host boot sequence order, set Hard drive first.
Apply the specific firmware configuration for your hardware. The following table describes a representative firmware configuration for an Intel Xeon Skylake or Intel Cascade Lake server, based on the Intel FlexRAN 4G and 5G baseband PHY reference design.
ImportantThe exact firmware configuration depends on your specific hardware and network requirements. The following sample configuration is for illustrative purposes only.
Table 17.6. Sample firmware configuration for an Intel Xeon Skylake or Cascade Lake server
Firmware setting Configuration CPU Power and Performance Policy
Performance
Uncore Frequency Scaling
Disabled
Performance P-limit
Disabled
Enhanced Intel SpeedStep ® Tech
Enabled
Intel Configurable TDP
Enabled
Configurable TDP Level
Level 2
Intel® Turbo Boost Technology
Enabled
Energy Efficient Turbo
Disabled
Hardware P-States
Disabled
Package C-State
C0/C1 state
C1E
Disabled
Processor C6
Disabled
Enable global SR-IOV and VT-d settings in the firmware for the host. These settings are relevant to bare-metal environments.
17.6.4. Connectivity prerequisites for managed cluster networks
Before you can install and provision a managed cluster with the GitOps Zero Touch Provisioning (ZTP) pipeline, the managed cluster host must meet the following networking prerequisites:
- There must be bi-directional connectivity between the GitOps ZTP container in the hub cluster and the Baseboard Management Controller (BMC) of the target bare-metal host.
The managed cluster must be able to resolve and reach the API hostname of the hub hostname and
*.appshostname. Here is an example of the API hostname of the hub and*.appshostname:-
api.hub-cluster.internal.domain.com -
console-openshift-console.apps.hub-cluster.internal.domain.com
-
The hub cluster must be able to resolve and reach the API and
*.appshostname of the managed cluster. Here is an example of the API hostname of the managed cluster and*.appshostname:-
api.sno-managed-cluster-1.internal.domain.com -
console-openshift-console.apps.sno-managed-cluster-1.internal.domain.com
-
17.6.5. Workload partitioning in single-node OpenShift with GitOps ZTP
Workload partitioning configures OpenShift Container Platform services, cluster management workloads, and infrastructure pods to run on a reserved number of host CPUs.
To configure workload partitioning with GitOps Zero Touch Provisioning (ZTP), you specify cluster management CPU resources with the cpuset field of the SiteConfig custom resource (CR) and the reserved field of the group PolicyGenTemplate CR. The GitOps ZTP pipeline uses these values to populate the required fields in the workload partitioning MachineConfig CR (cpuset) and the PerformanceProfile CR (reserved) that configure the single-node OpenShift cluster.
For maximum performance, ensure that the reserved and isolated CPU sets do not share CPU cores across NUMA zones.
-
The workload partitioning
MachineConfigCR pins the OpenShift Container Platform infrastructure pods to a definedcpusetconfiguration. -
The
PerformanceProfileCR pins the systemd services to the reserved CPUs.
The value for the reserved field specified in the PerformanceProfile CR must match the cpuset field in the workload partitioning MachineConfig CR.
Additional resources
- For the recommended single-node OpenShift workload partitioning configuration, see Workload partitioning.
17.6.6. Recommended installation-time cluster configurations
The ZTP pipeline applies the following custom resources (CRs) during cluster installation. These configuration CRs ensure that the cluster meets the feature and performance requirements necessary for running a vDU application.
When using the GitOps ZTP plugin and SiteConfig CRs for cluster deployment, the following MachineConfig CRs are included by default.
Use the SiteConfig extraManifests filter to alter the CRs that are included by default. For more information, see Advanced managed cluster configuration with SiteConfig CRs.
17.6.6.1. Workload partitioning
Single-node OpenShift clusters that run DU workloads require workload partitioning. This limits the cores allowed to run platform services, maximizing the CPU core for application payloads.
Workload partitioning can only be enabled during cluster installation. You cannot disable workload partitioning post-installation. However, you can reconfigure workload partitioning by updating the cpu value that you define in the performance profile, and in the related MachineConfig custom resource (CR).
The base64-encoded CR that enables workload partitioning contains the CPU set that the management workloads are constrained to. Encode host-specific values for
crio.confandkubelet.confin base64. Adjust the content to match the CPU set that is specified in the cluster performance profile. It must match the number of cores in the cluster host.Recommended workload partitioning configuration
apiVersion: machineconfiguration.openshift.io/v1 kind: MachineConfig metadata: labels: machineconfiguration.openshift.io/role: master name: 02-master-workload-partitioning spec: config: ignition: version: 3.2.0 storage: files: - contents: source: data:text/plain;charset=utf-8;base64,W2NyaW8ucnVudGltZS53b3JrbG9hZHMubWFuYWdlbWVudF0KYWN0aXZhdGlvbl9hbm5vdGF0aW9uID0gInRhcmdldC53b3JrbG9hZC5vcGVuc2hpZnQuaW8vbWFuYWdlbWVudCIKYW5ub3RhdGlvbl9wcmVmaXggPSAicmVzb3VyY2VzLndvcmtsb2FkLm9wZW5zaGlmdC5pbyIKcmVzb3VyY2VzID0geyAiY3B1c2hhcmVzIiA9IDAsICJjcHVzZXQiID0gIjAtMSw1Mi01MyIgfQo= mode: 420 overwrite: true path: /etc/crio/crio.conf.d/01-workload-partitioning user: name: root - contents: source: data:text/plain;charset=utf-8;base64,ewogICJtYW5hZ2VtZW50IjogewogICAgImNwdXNldCI6ICIwLTEsNTItNTMiCiAgfQp9Cg== mode: 420 overwrite: true path: /etc/kubernetes/openshift-workload-pinning user: name: root
When configured in the cluster host, the contents of
/etc/crio/crio.conf.d/01-workload-partitioningshould look like this:[crio.runtime.workloads.management] activation_annotation = "target.workload.openshift.io/management" annotation_prefix = "resources.workload.openshift.io" resources = { "cpushares" = 0, "cpuset" = "0-1,52-53" } 1- 1
- The
cpusetvalue varies based on the installation. If Hyper-Threading is enabled, specify both threads for each core. Thecpusetvalue must match the reserved CPUs that you define in thespec.cpu.reservedfield in the performance profile.
When configured in the cluster, the contents of
/etc/kubernetes/openshift-workload-pinningshould look like this:{ "management": { "cpuset": "0-1,52-53" 1 } }- 1
- The
cpusetmust match thecpusetvalue in/etc/crio/crio.conf.d/01-workload-partitioning.
Verification
Check that the applications and cluster system CPU pinning is correct. Run the following commands:
Open a remote shell connection to the managed cluster:
$ oc debug node/example-sno-1
Check that the user applications CPU pinning is correct:
sh-4.4# pgrep ovn | while read i; do taskset -cp $i; done
Example output
pid 8481's current affinity list: 0-3 pid 8726's current affinity list: 0-3 pid 9088's current affinity list: 0-3 pid 9945's current affinity list: 0-3 pid 10387's current affinity list: 0-3 pid 12123's current affinity list: 0-3 pid 13313's current affinity list: 0-3
Check that the system applications CPU pinning is correct:
sh-4.4# pgrep systemd | while read i; do taskset -cp $i; done
Example output
pid 1's current affinity list: 0-3 pid 938's current affinity list: 0-3 pid 962's current affinity list: 0-3 pid 1197's current affinity list: 0-3
17.6.6.2. Reduced platform management footprint
To reduce the overall management footprint of the platform, a MachineConfig custom resource (CR) is required that places all Kubernetes-specific mount points in a new namespace separate from the host operating system. The following base64-encoded example MachineConfig CR illustrates this configuration.
Recommended container mount namespace configuration
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: master
name: container-mount-namespace-and-kubelet-conf-master
spec:
config:
ignition:
version: 3.2.0
storage:
files:
- contents:
source: data:text/plain;charset=utf-8;base64,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
mode: 493
path: /usr/local/bin/extractExecStart
- contents:
source: data:text/plain;charset=utf-8;base64,IyEvYmluL2Jhc2gKbnNlbnRlciAtLW1vdW50PS9ydW4vY29udGFpbmVyLW1vdW50LW5hbWVzcGFjZS9tbnQgIiRAIgo=
mode: 493
path: /usr/local/bin/nsenterCmns
systemd:
units:
- contents: |
[Unit]
Description=Manages a mount namespace that both kubelet and crio can use to share their container-specific mounts
[Service]
Type=oneshot
RemainAfterExit=yes
RuntimeDirectory=container-mount-namespace
Environment=RUNTIME_DIRECTORY=%t/container-mount-namespace
Environment=BIND_POINT=%t/container-mount-namespace/mnt
ExecStartPre=bash -c "findmnt ${RUNTIME_DIRECTORY} || mount --make-unbindable --bind ${RUNTIME_DIRECTORY} ${RUNTIME_DIRECTORY}"
ExecStartPre=touch ${BIND_POINT}
ExecStart=unshare --mount=${BIND_POINT} --propagation slave mount --make-rshared /
ExecStop=umount -R ${RUNTIME_DIRECTORY}
enabled: true
name: container-mount-namespace.service
- dropins:
- contents: |
[Unit]
Wants=container-mount-namespace.service
After=container-mount-namespace.service
[Service]
ExecStartPre=/usr/local/bin/extractExecStart %n /%t/%N-execstart.env ORIG_EXECSTART
EnvironmentFile=-/%t/%N-execstart.env
ExecStart=
ExecStart=bash -c "nsenter --mount=%t/container-mount-namespace/mnt \
${ORIG_EXECSTART}"
name: 90-container-mount-namespace.conf
name: crio.service
- dropins:
- contents: |
[Unit]
Wants=container-mount-namespace.service
After=container-mount-namespace.service
[Service]
ExecStartPre=/usr/local/bin/extractExecStart %n /%t/%N-execstart.env ORIG_EXECSTART
EnvironmentFile=-/%t/%N-execstart.env
ExecStart=
ExecStart=bash -c "nsenter --mount=%t/container-mount-namespace/mnt \
${ORIG_EXECSTART} --housekeeping-interval=30s"
name: 90-container-mount-namespace.conf
- contents: |
[Service]
Environment="OPENSHIFT_MAX_HOUSEKEEPING_INTERVAL_DURATION=60s"
Environment="OPENSHIFT_EVICTION_MONITORING_PERIOD_DURATION=30s"
name: 30-kubelet-interval-tuning.conf
name: kubelet.service
17.6.6.3. SCTP
Stream Control Transmission Protocol (SCTP) is a key protocol used in RAN applications. This MachineConfig object adds the SCTP kernel module to the node to enable this protocol.
Recommended SCTP configuration
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: master
name: load-sctp-module
spec:
config:
ignition:
version: 2.2.0
storage:
files:
- contents:
source: data:,
verification: {}
filesystem: root
mode: 420
path: /etc/modprobe.d/sctp-blacklist.conf
- contents:
source: data:text/plain;charset=utf-8,sctp
filesystem: root
mode: 420
path: /etc/modules-load.d/sctp-load.conf
17.6.6.4. Accelerated container startup
The following MachineConfig CR configures core OpenShift processes and containers to use all available CPU cores during system startup and shutdown. This accelerates the system recovery during initial boot and reboots.
Recommended accelerated container startup configuration
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: master
name: 04-accelerated-container-startup-master
spec:
config:
ignition:
version: 3.2.0
storage:
files:
- contents:
source: data:text/plain;charset=utf-8;base64,#!/bin/bash
#
# Temporarily reset the core system processes's CPU affinity to be unrestricted to accelerate startup and shutdown
#
# The defaults below can be overridden via environment variables
#

# The default set of critical processes whose affinity should be temporarily unbound:
CRITICAL_PROCESSES=${CRITICAL_PROCESSES:-"systemd ovs crio kubelet NetworkManager conmon dbus"}

# Default wait time is 600s = 10m:
MAXIMUM_WAIT_TIME=${MAXIMUM_WAIT_TIME:-600}

# Default steady-state threshold = 2%
# Allowed values:
#  4  - absolute pod count (+/-)
#  4% - percent change (+/-)
#  -1 - disable the steady-state check
STEADY_STATE_THRESHOLD=${STEADY_STATE_THRESHOLD:-2%}

# Default steady-state window = 60s
# If the running pod count stays within the given threshold for this time
# period, return CPU utilization to normal before the maximum wait time has
# expires
STEADY_STATE_WINDOW=${STEADY_STATE_WINDOW:-60}

# Default steady-state allows any pod count to be "steady state"
# Increasing this will skip any steady-state checks until the count rises above
# this number to avoid false positives if there are some periods where the
# count doesn't increase but we know we can't be at steady-state yet.
STEADY_STATE_MINIMUM=${STEADY_STATE_MINIMUM:-0}

#######################################################

KUBELET_CPU_STATE=/var/lib/kubelet/cpu_manager_state
FULL_CPU_STATE=/sys/fs/cgroup/cpuset/cpuset.cpus
unrestrictedCpuset() {
  local cpus
  if [[ -e $KUBELET_CPU_STATE ]]; then
      cpus=$(jq -r '.defaultCpuSet' <$KUBELET_CPU_STATE)
  fi
  if [[ -z $cpus ]]; then
    # fall back to using all cpus if the kubelet state is not configured yet
    [[ -e $FULL_CPU_STATE ]] || return 1
    cpus=$(<$FULL_CPU_STATE)
  fi
  echo $cpus
}

restrictedCpuset() {
  for arg in $(</proc/cmdline); do
    if [[ $arg =~ ^systemd.cpu_affinity= ]]; then
      echo ${arg#*=}
      return 0
    fi
  done
  return 1
}

getCPUCount () {
  local cpuset="$1"
  local cpulist=()
  local cpus=0
  local mincpus=2

  if [[ -z $cpuset || $cpuset =~ [^0-9,-] ]]; then
    echo $mincpus
    return 1
  fi

  IFS=',' read -ra cpulist <<< $cpuset

  for elm in "${cpulist[@]}"; do
    if [[ $elm =~ ^[0-9]+$ ]]; then
      (( cpus++ ))
    elif [[ $elm =~ ^[0-9]+-[0-9]+$ ]]; then
      local low=0 high=0
      IFS='-' read low high <<< $elm
      (( cpus += high - low + 1 ))
    else
      echo $mincpus
      return 1
    fi
  done

  # Return a minimum of 2 cpus
  echo $(( cpus > $mincpus ? cpus : $mincpus ))
  return 0
}

resetOVSthreads () {
  local cpucount="$1"
  local curRevalidators=0
  local curHandlers=0
  local desiredRevalidators=0
  local desiredHandlers=0
  local rc=0

  curRevalidators=$(ps -Teo pid,tid,comm,cmd | grep -e revalidator | grep -c ovs-vswitchd)
  curHandlers=$(ps -Teo pid,tid,comm,cmd | grep -e handler | grep -c ovs-vswitchd)

  # Calculate the desired number of threads the same way OVS does.
  # OVS will set these thread count as a one shot process on startup, so we
  # have to adjust up or down during the boot up process. The desired outcome is
  # to not restrict the number of thread at startup until we reach a steady
  # state.  At which point we need to reset these based on our restricted  set
  # of cores.
  # See OVS function that calculates these thread counts:
  # https://github.com/openvswitch/ovs/blob/master/ofproto/ofproto-dpif-upcall.c#L635
  (( desiredRevalidators=$cpucount / 4 + 1 ))
  (( desiredHandlers=$cpucount - $desiredRevalidators ))


  if [[ $curRevalidators -ne $desiredRevalidators || $curHandlers -ne $desiredHandlers ]]; then

    logger "Recovery: Re-setting OVS revalidator threads: ${curRevalidators} -> ${desiredRevalidators}"
    logger "Recovery: Re-setting OVS handler threads: ${curHandlers} -> ${desiredHandlers}"

    ovs-vsctl set \
      Open_vSwitch . \
      other-config:n-handler-threads=${desiredHandlers} \
      other-config:n-revalidator-threads=${desiredRevalidators}
    rc=$?
  fi

  return $rc
}

resetAffinity() {
  local cpuset="$1"
  local failcount=0
  local successcount=0
  logger "Recovery: Setting CPU affinity for critical processes \"$CRITICAL_PROCESSES\" to $cpuset"
  for proc in $CRITICAL_PROCESSES; do
    local pids="$(pgrep $proc)"
    for pid in $pids; do
      local tasksetOutput
      tasksetOutput="$(taskset -apc "$cpuset" $pid 2>&1)"
      if [[ $? -ne 0 ]]; then
        echo "ERROR: $tasksetOutput"
        ((failcount++))
      else
        ((successcount++))
      fi
    done
  done

  resetOVSthreads "$(getCPUCount ${cpuset})"
  if [[ $? -ne 0 ]]; then
    ((failcount++))
  else
    ((successcount++))
  fi

  logger "Recovery: Re-affined $successcount pids successfully"
  if [[ $failcount -gt 0 ]]; then
    logger "Recovery: Failed to re-affine $failcount processes"
    return 1
  fi
}

setUnrestricted() {
  logger "Recovery: Setting critical system processes to have unrestricted CPU access"
  resetAffinity "$(unrestrictedCpuset)"
}

setRestricted() {
  logger "Recovery: Resetting critical system processes back to normally restricted access"
  resetAffinity "$(restrictedCpuset)"
}

currentAffinity() {
  local pid="$1"
  taskset -pc $pid | awk -F': ' '{print $2}'
}

within() {
  local last=$1 current=$2 threshold=$3
  local delta=0 pchange
  delta=$(( current - last ))
  if [[ $current -eq $last ]]; then
    pchange=0
  elif [[ $last -eq 0 ]]; then
    pchange=1000000
  else
    pchange=$(( ( $delta * 100) / last ))
  fi
  echo -n "last:$last current:$current delta:$delta pchange:${pchange}%: "
  local absolute limit
  case $threshold in
    *%)
      absolute=${pchange##-} # absolute value
      limit=${threshold%%%}
      ;;
    *)
      absolute=${delta##-} # absolute value
      limit=$threshold
      ;;
  esac
  if [[ $absolute -le $limit ]]; then
    echo "within (+/-)$threshold"
    return 0
  else
    echo "outside (+/-)$threshold"
    return 1
  fi
}

steadystate() {
  local last=$1 current=$2
  if [[ $last -lt $STEADY_STATE_MINIMUM ]]; then
    echo "last:$last current:$current Waiting to reach $STEADY_STATE_MINIMUM before checking for steady-state"
    return 1
  fi
  within $last $current $STEADY_STATE_THRESHOLD
}

waitForReady() {
  logger "Recovery: Waiting ${MAXIMUM_WAIT_TIME}s for the initialization to complete"
  local lastSystemdCpuset="$(currentAffinity 1)"
  local lastDesiredCpuset="$(unrestrictedCpuset)"
  local t=0 s=10
  local lastCcount=0 ccount=0 steadyStateTime=0
  while [[ $t -lt $MAXIMUM_WAIT_TIME ]]; do
    sleep $s
    ((t += s))
    # Re-check the current affinity of systemd, in case some other process has changed it
    local systemdCpuset="$(currentAffinity 1)"
    # Re-check the unrestricted Cpuset, as the allowed set of unreserved cores may change as pods are assigned to cores
    local desiredCpuset="$(unrestrictedCpuset)"
    if [[ $systemdCpuset != $lastSystemdCpuset || $lastDesiredCpuset != $desiredCpuset ]]; then
      resetAffinity "$desiredCpuset"
      lastSystemdCpuset="$(currentAffinity 1)"
      lastDesiredCpuset="$desiredCpuset"
    fi

    # Detect steady-state pod count
    ccount=$(crictl ps | wc -l)
    if steadystate $lastCcount $ccount; then
      ((steadyStateTime += s))
      echo "Steady-state for ${steadyStateTime}s/${STEADY_STATE_WINDOW}s"
      if [[ $steadyStateTime -ge $STEADY_STATE_WINDOW ]]; then
        logger "Recovery: Steady-state (+/- $STEADY_STATE_THRESHOLD) for ${STEADY_STATE_WINDOW}s: Done"
        return 0
      fi
    else
      if [[ $steadyStateTime -gt 0 ]]; then
        echo "Resetting steady-state timer"
        steadyStateTime=0
      fi
    fi
    lastCcount=$ccount
  done
  logger "Recovery: Recovery Complete Timeout"
}

main() {
  if ! unrestrictedCpuset >&/dev/null; then
    logger "Recovery: No unrestricted Cpuset could be detected"
    return 1
  fi

  if ! restrictedCpuset >&/dev/null; then
    logger "Recovery: No restricted Cpuset has been configured.  We are already running unrestricted."
    return 0
  fi

  # Ensure we reset the CPU affinity when we exit this script for any reason
  # This way either after the timer expires or after the process is interrupted
  # via ^C or SIGTERM, we return things back to the way they should be.
  trap setRestricted EXIT

  logger "Recovery: Recovery Mode Starting"
  setUnrestricted
  waitForReady
}

if [[ "${BASH_SOURCE[0]}" = "${0}" ]]; then
  main "${@}"
  exit $?
fi

mode: 493
path: /usr/local/bin/accelerated-container-startup.sh
systemd:
units:
- contents: |
[Unit]
Description=Unlocks more CPUs for critical system processes during container startup
[Service]
Type=simple
ExecStart=/usr/local/bin/accelerated-container-startup.sh
# Maximum wait time is 600s = 10m:
Environment=MAXIMUM_WAIT_TIME=600
# Steady-state threshold = 2%
# Allowed values:
# 4 - absolute pod count (+/-)
# 4% - percent change (+/-)
# -1 - disable the steady-state check
# Note: '%' must be escaped as '%%' in systemd unit files
Environment=STEADY_STATE_THRESHOLD=2%%
# Steady-state window = 120s
# If the running pod count stays within the given threshold for this time
# period, return CPU utilization to normal before the maximum wait time has
# expires
Environment=STEADY_STATE_WINDOW=120
# Steady-state minimum = 40
# Increasing this will skip any steady-state checks until the count rises above
# this number to avoid false positives if there are some periods where the
# count doesn't increase but we know we can't be at steady-state yet.
Environment=STEADY_STATE_MINIMUM=40
[Install]
WantedBy=multi-user.target
enabled: true
name: accelerated-container-startup.service
- contents: |
[Unit]
Description=Unlocks more CPUs for critical system processes during container shutdown
DefaultDependencies=no
[Service]
Type=simple
ExecStart=/usr/local/bin/accelerated-container-startup.sh
# Maximum wait time is 600s = 10m:
Environment=MAXIMUM_WAIT_TIME=600
# Steady-state threshold
# Allowed values:
# 4 - absolute pod count (+/-)
# 4% - percent change (+/-)
# -1 - disable the steady-state check
# Note: '%' must be escaped as '%%' in systemd unit files
Environment=STEADY_STATE_THRESHOLD=-1
# Steady-state window = 60s
# If the running pod count stays within the given threshold for this time
# period, return CPU utilization to normal before the maximum wait time has
# expires
Environment=STEADY_STATE_WINDOW=60
[Install]
WantedBy=shutdown.target reboot.target halt.target
enabled: true
name: accelerated-container-shutdown.service
17.6.6.5. Automatic kernel crash dumps with kdump
kdump is a Linux kernel feature that creates a kernel crash dump when the kernel crashes. kdump is enabled with the following MachineConfig CR:
Recommended kdump configuration
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: master
name: 06-kdump-enable-master
spec:
config:
ignition:
version: 3.2.0
systemd:
units:
- enabled: true
name: kdump.service
kernelArguments:
- crashkernel=512M
17.6.6.6. Configuring crun as the default container runtime
The following ContainerRuntimeConfig custom resources (CRs) configure crun as the default OCI container runtime for control plane and worker nodes. The crun container runtime is fast and lightweight and has a low memory footprint.
For optimal performance, enable crun for master and worker nodes in single-node OpenShift, three-node OpenShift, and standard clusters. To avoid the cluster rebooting when the CR is applied, apply the change as a GitOps ZTP additional day-0 install-time manifest.
Recommended ContainerRuntimeConfig CR for control plane nodes
apiVersion: machineconfiguration.openshift.io/v1
kind: ContainerRuntimeConfig
metadata:
name: enable-crun-master
spec:
machineConfigPoolSelector:
matchLabels:
pools.operator.machineconfiguration.openshift.io/master: ""
containerRuntimeConfig:
defaultRuntime: crun
Recommended ContainerRuntimeConfig CR for worker nodes
apiVersion: machineconfiguration.openshift.io/v1
kind: ContainerRuntimeConfig
metadata:
name: enable-crun-worker
spec:
machineConfigPoolSelector:
matchLabels:
pools.operator.machineconfiguration.openshift.io/worker: ""
containerRuntimeConfig:
defaultRuntime: crun
17.6.7. Recommended post-installation cluster configurations
When the cluster installation is complete, the ZTP pipeline applies the following custom resources (CRs) that are required to run DU workloads.
In GitOps ZTP v4.10 and earlier, you configure UEFI secure boot with a MachineConfig CR. This is no longer required in GitOps ZTP v4.11 and later. In v4.11, you configure UEFI secure boot for single-node OpenShift clusters by updating the spec.clusters.nodes.bootMode field in the SiteConfig CR that you use to install the cluster. For more information, see Deploying a managed cluster with SiteConfig and GitOps ZTP.
17.6.7.1. Operator namespaces and Operator groups
Single-node OpenShift clusters that run DU workloads require the following OperatorGroup and Namespace custom resources (CRs):
- Local Storage Operator
- Logging Operator
- PTP Operator
- SR-IOV Network Operator
The following YAML summarizes these CRs:
Recommended Operator Namespace and OperatorGroup configuration
apiVersion: v1
kind: Namespace
metadata:
annotations:
workload.openshift.io/allowed: management
name: openshift-local-storage
---
apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
name: openshift-local-storage
namespace: openshift-local-storage
spec:
targetNamespaces:
- openshift-local-storage
---
apiVersion: v1
kind: Namespace
metadata:
annotations:
workload.openshift.io/allowed: management
name: openshift-logging
---
apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
name: cluster-logging
namespace: openshift-logging
spec:
targetNamespaces:
- openshift-logging
---
apiVersion: v1
kind: Namespace
metadata:
annotations:
workload.openshift.io/allowed: management
labels:
openshift.io/cluster-monitoring: "true"
name: openshift-ptp
---
apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
name: ptp-operators
namespace: openshift-ptp
spec:
targetNamespaces:
- openshift-ptp
---
apiVersion: v1
kind: Namespace
metadata:
annotations:
workload.openshift.io/allowed: management
name: openshift-sriov-network-operator
---
apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
name: sriov-network-operators
namespace: openshift-sriov-network-operator
spec:
targetNamespaces:
- openshift-sriov-network-operator
17.6.7.2. Operator subscriptions
Single-node OpenShift clusters that run DU workloads require the following Subscription CRs. The subscription provides the location to download the following Operators:
- Local Storage Operator
- Logging Operator
- PTP Operator
- SR-IOV Network Operator
Recommended Operator subscriptions
apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: cluster-logging namespace: openshift-logging spec: channel: "stable" 1 name: cluster-logging source: redhat-operators sourceNamespace: openshift-marketplace installPlanApproval: Manual 2 --- apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: local-storage-operator namespace: openshift-local-storage spec: channel: "stable" installPlanApproval: Automatic name: local-storage-operator source: redhat-operators sourceNamespace: openshift-marketplace installPlanApproval: Manual --- apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: ptp-operator-subscription namespace: openshift-ptp spec: channel: "stable" name: ptp-operator source: redhat-operators sourceNamespace: openshift-marketplace installPlanApproval: Manual --- apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: sriov-network-operator-subscription namespace: openshift-sriov-network-operator spec: channel: "stable" name: sriov-network-operator source: redhat-operators sourceNamespace: openshift-marketplace installPlanApproval: Manual
- 1
- Specify the channel to get the Operator from.
stableis the recommended channel. - 2
- Specify
ManualorAutomatic. InAutomaticmode, the Operator automatically updates to the latest versions in the channel as they become available in the registry. InManualmode, new Operator versions are installed only after they are explicitly approved.
17.6.7.3. Cluster logging and log forwarding
Single-node OpenShift clusters that run DU workloads require logging and log forwarding for debugging. The following example YAML illustrates the required ClusterLogging and ClusterLogForwarder CRs.
Recommended cluster logging and log forwarding configuration
apiVersion: logging.openshift.io/v1 kind: ClusterLogging 1 metadata: name: instance namespace: openshift-logging spec: collection: logs: fluentd: {} type: fluentd curation: type: "curator" curator: schedule: "30 3 * * *" managementState: Managed --- apiVersion: logging.openshift.io/v1 kind: ClusterLogForwarder 2 metadata: name: instance namespace: openshift-logging spec: inputs: - infrastructure: {} name: infra-logs outputs: - name: kafka-open type: kafka url: tcp://10.46.55.190:9092/test 3 pipelines: - inputRefs: - audit name: audit-logs outputRefs: - kafka-open - inputRefs: - infrastructure name: infrastructure-logs outputRefs: - kafka-open
17.6.7.4. Performance profile
Single-node OpenShift clusters that run DU workloads require a Node Tuning Operator performance profile to use real-time host capabilities and services.
In earlier versions of OpenShift Container Platform, the Performance Addon Operator was used to implement automatic tuning to achieve low latency performance for OpenShift applications. In OpenShift Container Platform 4.11 and later, this functionality is part of the Node Tuning Operator.
The following example PerformanceProfile CR illustrates the required cluster configuration.
Recommended performance profile configuration
apiVersion: performance.openshift.io/v2 kind: PerformanceProfile metadata: name: openshift-node-performance-profile 1 spec: additionalKernelArgs: - "rcupdate.rcu_normal_after_boot=0" - "efi=runtime" 2 cpu: isolated: 2-51,54-103 3 reserved: 0-1,52-53 4 hugepages: defaultHugepagesSize: 1G pages: - count: 32 5 size: 1G 6 node: 0 7 machineConfigPoolSelector: pools.operator.machineconfiguration.openshift.io/master: "" nodeSelector: node-role.kubernetes.io/master: "" numa: topologyPolicy: "restricted" realTimeKernel: enabled: true 8
- 1
- Ensure that the value for
namematches that specified in thespec.profile.datafield ofTunedPerformancePatch.yamland thestatus.configuration.source.namefield ofvalidatorCRs/informDuValidator.yaml. - 2
- Configures UEFI secure boot for the cluster host.
- 3
- Set the isolated CPUs. Ensure all of the Hyper-Threading pairs match.Important
The reserved and isolated CPU pools must not overlap and together must span all available cores. CPU cores that are not accounted for cause an undefined behaviour in the system.
- 4
- Set the reserved CPUs. When workload partitioning is enabled, system processes, kernel threads, and system container threads are restricted to these CPUs. All CPUs that are not isolated should be reserved.
- 5
- Set the number of huge pages.
- 6
- Set the huge page size.
- 7
- Set
nodeto the NUMA node where thehugepagesare allocated. - 8
- Set
enabledtotrueto install the real-time Linux kernel.
17.6.7.5. PTP
Single-node OpenShift clusters use Precision Time Protocol (PTP) for network time synchronization. The following example PtpConfig CR illustrates the required PTP slave configuration.
Recommended PTP configuration
apiVersion: ptp.openshift.io/v1
kind: PtpConfig
metadata:
name: du-ptp-slave
namespace: openshift-ptp
spec:
profile:
- interface: ens5f0 1
name: slave
phc2sysOpts: -a -r -n 24
ptp4lConf: |
[global]
#
# Default Data Set
#
twoStepFlag 1
slaveOnly 0
priority1 128
priority2 128
domainNumber 24
#utc_offset 37
clockClass 248
clockAccuracy 0xFE
offsetScaledLogVariance 0xFFFF
free_running 0
freq_est_interval 1
dscp_event 0
dscp_general 0
dataset_comparison ieee1588
G.8275.defaultDS.localPriority 128
#
# Port Data Set
#
logAnnounceInterval -3
logSyncInterval -4
logMinDelayReqInterval -4
logMinPdelayReqInterval -4
announceReceiptTimeout 3
syncReceiptTimeout 0
delayAsymmetry 0
fault_reset_interval 4
neighborPropDelayThresh 20000000
masterOnly 0
G.8275.portDS.localPriority 128
#
# Run time options
#
assume_two_step 0
logging_level 6
path_trace_enabled 0
follow_up_info 0
hybrid_e2e 0
inhibit_multicast_service 0
net_sync_monitor 0
tc_spanning_tree 0
tx_timestamp_timeout 1
unicast_listen 0
unicast_master_table 0
unicast_req_duration 3600
use_syslog 1
verbose 0
summary_interval 0
kernel_leap 1
check_fup_sync 0
#
# Servo Options
#
pi_proportional_const 0.0
pi_integral_const 0.0
pi_proportional_scale 0.0
pi_proportional_exponent -0.3
pi_proportional_norm_max 0.7
pi_integral_scale 0.0
pi_integral_exponent 0.4
pi_integral_norm_max 0.3
step_threshold 2.0
first_step_threshold 0.00002
max_frequency 900000000
clock_servo pi
sanity_freq_limit 200000000
ntpshm_segment 0
#
# Transport options
#
transportSpecific 0x0
ptp_dst_mac 01:1B:19:00:00:00
p2p_dst_mac 01:80:C2:00:00:0E
udp_ttl 1
udp6_scope 0x0E
uds_address /var/run/ptp4l
#
# Default interface options
#
clock_type OC
network_transport L2
delay_mechanism E2E
time_stamping hardware
tsproc_mode filter
delay_filter moving_median
delay_filter_length 10
egressLatency 0
ingressLatency 0
boundary_clock_jbod 0
#
# Clock description
#
productDescription ;;
revisionData ;;
manufacturerIdentity 00:00:00
userDescription ;
timeSource 0xA0
ptp4lOpts: -2 -s --summary_interval -4
recommend:
- match:
- nodeLabel: node-role.kubernetes.io/master
priority: 4
profile: slave
- 1
- Sets the interface used to receive the PTP clock signal.
17.6.7.6. Extended Tuned profile
Single-node OpenShift clusters that run DU workloads require additional performance tuning configurations necessary for high-performance workloads. The following example Tuned CR extends the Tuned profile:
Recommended extended Tuned profile configuration
apiVersion: tuned.openshift.io/v1
kind: Tuned
metadata:
name: performance-patch
namespace: openshift-cluster-node-tuning-operator
spec:
profile:
- data: |
[main]
summary=Configuration changes profile inherited from performance created tuned
include=openshift-node-performance-openshift-node-performance-profile
[bootloader]
cmdline_crash=nohz_full=2-51,54-103
[sysctl]
kernel.timer_migration=1
[scheduler]
group.ice-ptp=0:f:10:*:ice-ptp.*
[service]
service.stalld=start,enable
service.chronyd=stop,disable
name: performance-patch
recommend:
- machineConfigLabels:
machineconfiguration.openshift.io/role: master
priority: 19
profile: performance-patch
17.6.7.7. SR-IOV
Single root I/O virtualization (SR-IOV) is commonly used to enable the fronthaul and the midhaul networks. The following YAML example configures SR-IOV for a single-node OpenShift cluster.
Recommended SR-IOV configuration
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovOperatorConfig
metadata:
name: default
namespace: openshift-sriov-network-operator
spec:
configDaemonNodeSelector:
node-role.kubernetes.io/master: ""
disableDrain: true
enableInjector: true
enableOperatorWebhook: true
---
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovNetwork
metadata:
name: sriov-nw-du-mh
namespace: openshift-sriov-network-operator
spec:
networkNamespace: openshift-sriov-network-operator
resourceName: du_mh
vlan: 150 1
---
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovNetworkNodePolicy
metadata:
name: sriov-nnp-du-mh
namespace: openshift-sriov-network-operator
spec:
deviceType: vfio-pci 2
isRdma: false
nicSelector:
pfNames:
- ens7f0 3
nodeSelector:
node-role.kubernetes.io/master: ""
numVfs: 8 4
priority: 10
resourceName: du_mh
---
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovNetwork
metadata:
name: sriov-nw-du-fh
namespace: openshift-sriov-network-operator
spec:
networkNamespace: openshift-sriov-network-operator
resourceName: du_fh
vlan: 140 5
---
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovNetworkNodePolicy
metadata:
name: sriov-nnp-du-fh
namespace: openshift-sriov-network-operator
spec:
deviceType: netdevice 6
isRdma: true
nicSelector:
pfNames:
- ens5f0 7
nodeSelector:
node-role.kubernetes.io/master: ""
numVfs: 8 8
priority: 10
resourceName: du_fh
- 1
- Specifies the VLAN for the midhaul network.
- 2
- Select either
vfio-pciornetdevice, as needed. - 3
- Specifies the interface connected to the midhaul network.
- 4
- Specifies the number of VFs for the midhaul network.
- 5
- The VLAN for the fronthaul network.
- 6
- Select either
vfio-pciornetdevice, as needed. - 7
- Specifies the interface connected to the fronthaul network.
- 8
- Specifies the number of VFs for the fronthaul network.
17.6.7.8. Console Operator
The console-operator installs and maintains the web console on a cluster. When the node is centrally managed the Operator is not needed and makes space for application workloads. The following Console custom resource (CR) example disables the console.
Recommended console configuration
apiVersion: operator.openshift.io/v1
kind: Console
metadata:
annotations:
include.release.openshift.io/ibm-cloud-managed: "false"
include.release.openshift.io/self-managed-high-availability: "false"
include.release.openshift.io/single-node-developer: "false"
release.openshift.io/create-only: "true"
name: cluster
spec:
logLevel: Normal
managementState: Removed
operatorLogLevel: Normal
17.6.7.9. Grafana and Alertmanager
Single-node OpenShift clusters that run DU workloads require reduced CPU resources consumed by the OpenShift Container Platform monitoring components. The following ConfigMap custom resource (CR) disables Grafana and Alertmanager.
Recommended cluster monitoring configuration
apiVersion: v1
kind: ConfigMap
metadata:
name: cluster-monitoring-config
namespace: openshift-monitoring
data:
config.yaml: |
grafana:
enabled: false
alertmanagerMain:
enabled: false
prometheusK8s:
retention: 24h
17.6.7.10. LVM Storage
You can dynamically provision local storage on single-node OpenShift clusters with Logical volume manager storage (LVM Storage).
The recommended storage solution for single-node OpenShift is the Local Storage Operator. Alternatively, you can use LVM Storage but it requires additional CPU resources to be allocated.
The following YAML example configures the storage of the node to be available to OpenShift Container Platform applications.
Recommended LVMCluster configuration
apiVersion: lvm.topolvm.io/v1alpha1
kind: LVMCluster
metadata:
name: odf-lvmcluster
namespace: openshift-storage
spec:
storage:
deviceClasses:
- name: vg1
deviceSelector: 1
paths:
- /usr/disk/by-path/pci-0000:11:00.0-nvme-1
thinPoolConfig:
name: thin-pool-1
overprovisionRatio: 10
sizePercent: 90
- 1
- If no disks are specified in the
deviceSelector.pathsfield, the LVM Storage uses all the unused disks in the specified thin pool.
17.6.7.11. Network diagnostics
Single-node OpenShift clusters that run DU workloads require less inter-pod network connectivity checks to reduce the additional load created by these pods. The following custom resource (CR) disables these checks.
Recommended network diagnostics configuration
apiVersion: operator.openshift.io/v1 kind: Network metadata: name: cluster spec: disableNetworkDiagnostics: true
17.6.7.12. SNO node reboot scenario
On a Single-node OpenShift cluster and in OpenShift Container Platform clusters generally a situation might arise in case a node reboot occurs without node drain where an application pod requesting devices fails with the UnexpectedAdmissionError error. deployment, replicaset, or daemonset error is reported due to the fact that application pods requiring devices can start before the pod serving those devices, as there is no way to control the order of pod restarts.
While this behavior is expected, it can lead to a pod remaining on the cluster even when it has failed to deploy successfully and will continue to report UnexpectedAdmissionError. The presence of this issue is mitigated since application pods are typically included in a deployment, replicaset, or daemonset. Having a pod in this state is of little concern as another instance should be running. Being part of a deployment, replicaset, or daemonset guarantees the successful creation and execution of subsequent pods and ensures the successful deployment of the application.
There is ongoing work upstream to ensure that such pods are gracefully terminated. Until that is resolved run the following command in a Single-node OpenShift deployment to remove the failed pods:
$ kubectl delete pods --field-selector status.phase=Failed -n <POD_NAMESPACE>
The option to drain the node is unavailable in a Single-node OpenShift deployment.
Additional resources
17.7. Validating single-node OpenShift cluster tuning for vDU application workloads
Before you can deploy virtual distributed unit (vDU) applications, you need to tune and configure the cluster host firmware and various other cluster configuration settings. Use the following information to validate the cluster configuration to support vDU workloads.
Additional resources
- For more information about single-node OpenShift clusters tuned for vDU application deployments, see Reference configuration for deploying vDUs on single-node OpenShift.
17.7.1. Recommended firmware configuration for vDU cluster hosts
Use the following table as the basis to configure the cluster host firmware for vDU applications running on OpenShift Container Platform 4.13.
The following table is a general recommendation for vDU cluster host firmware configuration. Exact firmware settings will depend on your requirements and specific hardware platform. Automatic setting of firmware is not handled by the zero touch provisioning pipeline.
Table 17.7. Recommended cluster host firmware settings
| Firmware setting | Configuration | Description |
|---|---|---|
| HyperTransport (HT) | Enabled | HyperTransport (HT) bus is a bus technology developed by AMD. HT provides a high-speed link between the components in the host memory and other system peripherals. |
| UEFI | Enabled | Enable booting from UEFI for the vDU host. |
| CPU Power and Performance Policy | Performance | Set CPU Power and Performance Policy to optimize the system for performance over energy efficiency. |
| Uncore Frequency Scaling | Disabled | Disable Uncore Frequency Scaling to prevent the voltage and frequency of non-core parts of the CPU from being set independently. |
| Uncore Frequency | Maximum | Sets the non-core parts of the CPU such as cache and memory controller to their maximum possible frequency of operation. |
| Performance P-limit | Disabled | Disable Performance P-limit to prevent the Uncore frequency coordination of processors. |
| Enhanced Intel® SpeedStep Tech | Enabled | Enable Enhanced Intel SpeedStep to allow the system to dynamically adjust processor voltage and core frequency that decreases power consumption and heat production in the host. |
| Intel® Turbo Boost Technology | Enabled | Enable Turbo Boost Technology for Intel-based CPUs to automatically allow processor cores to run faster than the rated operating frequency if they are operating below power, current, and temperature specification limits. |
| Intel Configurable TDP | Enabled | Enables Thermal Design Power (TDP) for the CPU. |
| Configurable TDP Level | Level 2 | TDP level sets the CPU power consumption required for a particular performance rating. TDP level 2 sets the CPU to the most stable performance level at the cost of power consumption. |
| Energy Efficient Turbo | Disabled | Disable Energy Efficient Turbo to prevent the processor from using an energy-efficiency based policy. |
| Hardware P-States | Enabled or Disabled |
Enable OS-controlled P-States to allow power saving configurations. Disable |
| Package C-State | C0/C1 state | Use C0 or C1 states to set the processor to a fully active state (C0) or to stop CPU internal clocks running in software (C1). |
| C1E | Disabled | CPU Enhanced Halt (C1E) is a power saving feature in Intel chips. Disabling C1E prevents the operating system from sending a halt command to the CPU when inactive. |
| Processor C6 | Disabled | C6 power-saving is a CPU feature that automatically disables idle CPU cores and cache. Disabling C6 improves system performance. |
| Sub-NUMA Clustering | Disabled | Sub-NUMA clustering divides the processor cores, cache, and memory into multiple NUMA domains. Disabling this option can increase performance for latency-sensitive workloads. |
Enable global SR-IOV and VT-d settings in the firmware for the host. These settings are relevant to bare-metal environments.
Enable both C-states and OS-controlled P-States to allow per pod power management.
17.7.2. Recommended cluster configurations to run vDU applications
Clusters running virtualized distributed unit (vDU) applications require a highly tuned and optimized configuration. The following information describes the various elements that you require to support vDU workloads in OpenShift Container Platform 4.13 clusters.
17.7.2.1. Recommended cluster MachineConfig CRs
Check that the MachineConfig custom resources (CRs) that you extract from the ztp-site-generate container are applied in the cluster. The CRs can be found in the extracted out/source-crs/extra-manifest/ folder.
The following MachineConfig CRs from the ztp-site-generate container configure the cluster host:
Table 17.8. Recommended MachineConfig CRs
| CR filename | Description |
|---|---|
|
|
Configures workload partitioning for the cluster. Apply this |
|
|
Loads the SCTP kernel module. These |
|
| Configures the container mount namespace and Kubelet configuration. |
|
| Configures accelerated startup for the cluster. |
|
|
Configures |
Additional resources
17.7.2.2. Recommended cluster Operators
The following Operators are required for clusters running virtualized distributed unit (vDU) applications and are a part of the baseline reference configuration:
- Node Tuning Operator (NTO). NTO packages functionality that was previously delivered with the Performance Addon Operator, which is now a part of NTO.
- PTP Operator
- SR-IOV Network Operator
- Red Hat OpenShift Logging Operator
- Local Storage Operator
17.7.2.3. Recommended cluster kernel configuration
Always use the latest supported real-time kernel version in your cluster. Ensure that you apply the following configurations in the cluster:
Ensure that the following
additionalKernelArgsare set in the cluster performance profile:spec: additionalKernelArgs: - "rcupdate.rcu_normal_after_boot=0" - "efi=runtime"
Ensure that the
performance-patchprofile in theTunedCR configures the correct CPU isolation set that matches theisolatedCPU set in the relatedPerformanceProfileCR, for example:spec: profile: - name: performance-patch # The 'include' line must match the associated PerformanceProfile name # And the cmdline_crash CPU set must match the 'isolated' set in the associated PerformanceProfile data: | [main] summary=Configuration changes profile inherited from performance created tuned include=openshift-node-performance-openshift-node-performance-profile [bootloader] cmdline_crash=nohz_full=2-51,54-103 1 [sysctl] kernel.timer_migration=1 [scheduler] group.ice-ptp=0:f:10:*:ice-ptp.* [service] service.stalld=start,enable service.chronyd=stop,disable- 1
- Listed CPUs depend on the host hardware configuration, specifically the number of available CPUs in the system and the CPU topology.
17.7.2.4. Checking the realtime kernel version
Always use the latest version of the realtime kernel in your OpenShift Container Platform clusters. If you are unsure about the kernel version that is in use in the cluster, you can compare the current realtime kernel version to the release version with the following procedure.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You are logged in as a user with
cluster-adminprivileges. -
You have installed
podman.
Procedure
Run the following command to get the cluster version:
$ OCP_VERSION=$(oc get clusterversion version -o jsonpath='{.status.desired.version}{"\n"}')Get the release image SHA number:
$ DTK_IMAGE=$(oc adm release info --image-for=driver-toolkit quay.io/openshift-release-dev/ocp-release:$OCP_VERSION-x86_64)
Run the release image container and extract the kernel version that is packaged with cluster’s current release:
$ podman run --rm $DTK_IMAGE rpm -qa | grep 'kernel-rt-core-' | sed 's#kernel-rt-core-##'
Example output
4.18.0-305.49.1.rt7.121.el8_4.x86_64
This is the default realtime kernel version that ships with the release.
NoteThe realtime kernel is denoted by the string
.rtin the kernel version.
Verification
Check that the kernel version listed for the cluster’s current release matches actual realtime kernel that is running in the cluster. Run the following commands to check the running realtime kernel version:
Open a remote shell connection to the cluster node:
$ oc debug node/<node_name>
Check the realtime kernel version:
sh-4.4# uname -r
Example output
4.18.0-305.49.1.rt7.121.el8_4.x86_64
17.7.3. Checking that the recommended cluster configurations are applied
You can check that clusters are running the correct configuration. The following procedure describes how to check the various configurations that you require to deploy a DU application in OpenShift Container Platform 4.13 clusters.
Prerequisites
- You have deployed a cluster and tuned it for vDU workloads.
-
You have installed the OpenShift CLI (
oc). -
You have logged in as a user with
cluster-adminprivileges.
Procedure
Check that the default OperatorHub sources are disabled. Run the following command:
$ oc get operatorhub cluster -o yaml
Example output
spec: disableAllDefaultSources: trueCheck that all required
CatalogSourceresources are annotated for workload partitioning (PreferredDuringScheduling) by running the following command:$ oc get catalogsource -A -o jsonpath='{range .items[*]}{.metadata.name}{" -- "}{.metadata.annotations.target\.workload\.openshift\.io/management}{"\n"}{end}'Example output
certified-operators -- {"effect": "PreferredDuringScheduling"} community-operators -- {"effect": "PreferredDuringScheduling"} ran-operators 1 redhat-marketplace -- {"effect": "PreferredDuringScheduling"} redhat-operators -- {"effect": "PreferredDuringScheduling"}- 1
CatalogSourceresources that are not annotated are also returned. In this example, theran-operatorsCatalogSourceresource is not annotated and does not have thePreferredDuringSchedulingannotation.
NoteIn a properly configured vDU cluster, only a single annotated catalog source is listed.
Check that all applicable OpenShift Container Platform Operator namespaces are annotated for workload partitioning. This includes all Operators installed with core OpenShift Container Platform and the set of additional Operators included in the reference DU tuning configuration. Run the following command:
$ oc get namespaces -A -o jsonpath='{range .items[*]}{.metadata.name}{" -- "}{.metadata.annotations.workload\.openshift\.io/allowed}{"\n"}{end}'Example output
default -- openshift-apiserver -- management openshift-apiserver-operator -- management openshift-authentication -- management openshift-authentication-operator -- management
ImportantAdditional Operators must not be annotated for workload partitioning. In the output from the previous command, additional Operators should be listed without any value on the right side of the
--separator.Check that the
ClusterLoggingconfiguration is correct. Run the following commands:Validate that the appropriate input and output logs are configured:
$ oc get -n openshift-logging ClusterLogForwarder instance -o yaml
Example output
apiVersion: logging.openshift.io/v1 kind: ClusterLogForwarder metadata: creationTimestamp: "2022-07-19T21:51:41Z" generation: 1 name: instance namespace: openshift-logging resourceVersion: "1030342" uid: 8c1a842d-80c5-447a-9150-40350bdf40f0 spec: inputs: - infrastructure: {} name: infra-logs outputs: - name: kafka-open type: kafka url: tcp://10.46.55.190:9092/test pipelines: - inputRefs: - audit name: audit-logs outputRefs: - kafka-open - inputRefs: - infrastructure name: infrastructure-logs outputRefs: - kafka-open ...Check that the curation schedule is appropriate for your application:
$ oc get -n openshift-logging clusterloggings.logging.openshift.io instance -o yaml
Example output
apiVersion: logging.openshift.io/v1 kind: ClusterLogging metadata: creationTimestamp: "2022-07-07T18:22:56Z" generation: 1 name: instance namespace: openshift-logging resourceVersion: "235796" uid: ef67b9b8-0e65-4a10-88ff-ec06922ea796 spec: collection: logs: fluentd: {} type: fluentd curation: curator: schedule: 30 3 * * * type: curator managementState: Managed ...
Check that the web console is disabled (
managementState: Removed) by running the following command:$ oc get consoles.operator.openshift.io cluster -o jsonpath="{ .spec.managementState }"Example output
Removed
Check that
chronydis disabled on the cluster node by running the following commands:$ oc debug node/<node_name>
Check the status of
chronydon the node:sh-4.4# chroot /host
sh-4.4# systemctl status chronyd
Example output
● chronyd.service - NTP client/server Loaded: loaded (/usr/lib/systemd/system/chronyd.service; disabled; vendor preset: enabled) Active: inactive (dead) Docs: man:chronyd(8) man:chrony.conf(5)Check that the PTP interface is successfully synchronized to the primary clock using a remote shell connection to the
linuxptp-daemoncontainer and the PTP Management Client (pmc) tool:Set the
$PTP_POD_NAMEvariable with the name of thelinuxptp-daemonpod by running the following command:$ PTP_POD_NAME=$(oc get pods -n openshift-ptp -l app=linuxptp-daemon -o name)
Run the following command to check the sync status of the PTP device:
$ oc -n openshift-ptp rsh -c linuxptp-daemon-container ${PTP_POD_NAME} pmc -u -f /var/run/ptp4l.0.config -b 0 'GET PORT_DATA_SET'Example output
sending: GET PORT_DATA_SET 3cecef.fffe.7a7020-1 seq 0 RESPONSE MANAGEMENT PORT_DATA_SET portIdentity 3cecef.fffe.7a7020-1 portState SLAVE logMinDelayReqInterval -4 peerMeanPathDelay 0 logAnnounceInterval 1 announceReceiptTimeout 3 logSyncInterval 0 delayMechanism 1 logMinPdelayReqInterval 0 versionNumber 2 3cecef.fffe.7a7020-2 seq 0 RESPONSE MANAGEMENT PORT_DATA_SET portIdentity 3cecef.fffe.7a7020-2 portState LISTENING logMinDelayReqInterval 0 peerMeanPathDelay 0 logAnnounceInterval 1 announceReceiptTimeout 3 logSyncInterval 0 delayMechanism 1 logMinPdelayReqInterval 0 versionNumber 2Run the following
pmccommand to check the PTP clock status:$ oc -n openshift-ptp rsh -c linuxptp-daemon-container ${PTP_POD_NAME} pmc -u -f /var/run/ptp4l.0.config -b 0 'GET TIME_STATUS_NP'Example output
sending: GET TIME_STATUS_NP 3cecef.fffe.7a7020-0 seq 0 RESPONSE MANAGEMENT TIME_STATUS_NP master_offset 10 1 ingress_time 1657275432697400530 cumulativeScaledRateOffset +0.000000000 scaledLastGmPhaseChange 0 gmTimeBaseIndicator 0 lastGmPhaseChange 0x0000'0000000000000000.0000 gmPresent true 2 gmIdentity 3c2c30.ffff.670e00Check that the expected
master offsetvalue corresponding to the value in/var/run/ptp4l.0.configis found in thelinuxptp-daemon-containerlog:$ oc logs $PTP_POD_NAME -n openshift-ptp -c linuxptp-daemon-container
Example output
phc2sys[56020.341]: [ptp4l.1.config] CLOCK_REALTIME phc offset -1731092 s2 freq -1546242 delay 497 ptp4l[56020.390]: [ptp4l.1.config] master offset -2 s2 freq -5863 path delay 541 ptp4l[56020.390]: [ptp4l.0.config] master offset -8 s2 freq -10699 path delay 533
Check that the SR-IOV configuration is correct by running the following commands:
Check that the
disableDrainvalue in theSriovOperatorConfigresource is set totrue:$ oc get sriovoperatorconfig -n openshift-sriov-network-operator default -o jsonpath="{.spec.disableDrain}{'\n'}"Example output
true
Check that the
SriovNetworkNodeStatesync status isSucceededby running the following command:$ oc get SriovNetworkNodeStates -n openshift-sriov-network-operator -o jsonpath="{.items[*].status.syncStatus}{'\n'}"Example output
Succeeded
Verify that the expected number and configuration of virtual functions (
Vfs) under each interface configured for SR-IOV is present and correct in the.status.interfacesfield. For example:$ oc get SriovNetworkNodeStates -n openshift-sriov-network-operator -o yaml
Example output
apiVersion: v1 items: - apiVersion: sriovnetwork.openshift.io/v1 kind: SriovNetworkNodeState ... status: interfaces: ... - Vfs: - deviceID: 154c driver: vfio-pci pciAddress: 0000:3b:0a.0 vendor: "8086" vfID: 0 - deviceID: 154c driver: vfio-pci pciAddress: 0000:3b:0a.1 vendor: "8086" vfID: 1 - deviceID: 154c driver: vfio-pci pciAddress: 0000:3b:0a.2 vendor: "8086" vfID: 2 - deviceID: 154c driver: vfio-pci pciAddress: 0000:3b:0a.3 vendor: "8086" vfID: 3 - deviceID: 154c driver: vfio-pci pciAddress: 0000:3b:0a.4 vendor: "8086" vfID: 4 - deviceID: 154c driver: vfio-pci pciAddress: 0000:3b:0a.5 vendor: "8086" vfID: 5 - deviceID: 154c driver: vfio-pci pciAddress: 0000:3b:0a.6 vendor: "8086" vfID: 6 - deviceID: 154c driver: vfio-pci pciAddress: 0000:3b:0a.7 vendor: "8086" vfID: 7
Check that the cluster performance profile is correct. The
cpuandhugepagessections will vary depending on your hardware configuration. Run the following command:$ oc get PerformanceProfile openshift-node-performance-profile -o yaml
Example output
apiVersion: performance.openshift.io/v2 kind: PerformanceProfile metadata: creationTimestamp: "2022-07-19T21:51:31Z" finalizers: - foreground-deletion generation: 1 name: openshift-node-performance-profile resourceVersion: "33558" uid: 217958c0-9122-4c62-9d4d-fdc27c31118c spec: additionalKernelArgs: - idle=poll - rcupdate.rcu_normal_after_boot=0 - efi=runtime cpu: isolated: 2-51,54-103 reserved: 0-1,52-53 hugepages: defaultHugepagesSize: 1G pages: - count: 32 size: 1G machineConfigPoolSelector: pools.operator.machineconfiguration.openshift.io/master: "" net: userLevelNetworking: true nodeSelector: node-role.kubernetes.io/master: "" numa: topologyPolicy: restricted realTimeKernel: enabled: true status: conditions: - lastHeartbeatTime: "2022-07-19T21:51:31Z" lastTransitionTime: "2022-07-19T21:51:31Z" status: "True" type: Available - lastHeartbeatTime: "2022-07-19T21:51:31Z" lastTransitionTime: "2022-07-19T21:51:31Z" status: "True" type: Upgradeable - lastHeartbeatTime: "2022-07-19T21:51:31Z" lastTransitionTime: "2022-07-19T21:51:31Z" status: "False" type: Progressing - lastHeartbeatTime: "2022-07-19T21:51:31Z" lastTransitionTime: "2022-07-19T21:51:31Z" status: "False" type: Degraded runtimeClass: performance-openshift-node-performance-profile tuned: openshift-cluster-node-tuning-operator/openshift-node-performance-openshift-node-performance-profileNoteCPU settings are dependent on the number of cores available on the server and should align with workload partitioning settings.
hugepagesconfiguration is server and application dependent.Check that the
PerformanceProfilewas successfully applied to the cluster by running the following command:$ oc get performanceprofile openshift-node-performance-profile -o jsonpath="{range .status.conditions[*]}{ @.type }{' -- '}{@.status}{'\n'}{end}"Example output
Available -- True Upgradeable -- True Progressing -- False Degraded -- False
Check the
Tunedperformance patch settings by running the following command:$ oc get tuneds.tuned.openshift.io -n openshift-cluster-node-tuning-operator performance-patch -o yaml
Example output
apiVersion: tuned.openshift.io/v1 kind: Tuned metadata: creationTimestamp: "2022-07-18T10:33:52Z" generation: 1 name: performance-patch namespace: openshift-cluster-node-tuning-operator resourceVersion: "34024" uid: f9799811-f744-4179-bf00-32d4436c08fd spec: profile: - data: | [main] summary=Configuration changes profile inherited from performance created tuned include=openshift-node-performance-openshift-node-performance-profile [bootloader] cmdline_crash=nohz_full=2-23,26-47 1 [sysctl] kernel.timer_migration=1 [scheduler] group.ice-ptp=0:f:10:*:ice-ptp.* [service] service.stalld=start,enable service.chronyd=stop,disable name: performance-patch recommend: - machineConfigLabels: machineconfiguration.openshift.io/role: master priority: 19 profile: performance-patch- 1
- The cpu list in
cmdline=nohz_full=will vary based on your hardware configuration.
Check that cluster networking diagnostics are disabled by running the following command:
$ oc get networks.operator.openshift.io cluster -o jsonpath='{.spec.disableNetworkDiagnostics}'Example output
true
Check that the
Kubelethousekeeping interval is tuned to slower rate. This is set in thecontainerMountNSmachine config. Run the following command:$ oc describe machineconfig container-mount-namespace-and-kubelet-conf-master | grep OPENSHIFT_MAX_HOUSEKEEPING_INTERVAL_DURATION
Example output
Environment="OPENSHIFT_MAX_HOUSEKEEPING_INTERVAL_DURATION=60s"
Check that Grafana and
alertManagerMainare disabled and that the Prometheus retention period is set to 24h by running the following command:$ oc get configmap cluster-monitoring-config -n openshift-monitoring -o jsonpath="{ .data.config\.yaml }"Example output
grafana: enabled: false alertmanagerMain: enabled: false prometheusK8s: retention: 24h
Use the following commands to verify that Grafana and
alertManagerMainroutes are not found in the cluster:$ oc get route -n openshift-monitoring alertmanager-main
$ oc get route -n openshift-monitoring grafana
Both queries should return
Error from server (NotFound)messages.
Check that there is a minimum of 4 CPUs allocated as
reservedfor each of thePerformanceProfile,Tunedperformance-patch, workload partitioning, and kernel command line arguments by running the following command:$ oc get performanceprofile -o jsonpath="{ .items[0].spec.cpu.reserved }"Example output
0-3
NoteDepending on your workload requirements, you might require additional reserved CPUs to be allocated.
17.8. Advanced managed cluster configuration with SiteConfig resources
You can use SiteConfig custom resources (CRs) to deploy custom functionality and configurations in your managed clusters at installation time.
17.8.1. Customizing extra installation manifests in the GitOps ZTP pipeline
You can define a set of extra manifests for inclusion in the installation phase of the GitOps Zero Touch Provisioning (ZTP) pipeline. These manifests are linked to the SiteConfig custom resources (CRs) and are applied to the cluster during installation. Including MachineConfig CRs at install time makes the installation process more efficient.
Prerequisites
- Create a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and be defined as a source repository for the Argo CD application.
Procedure
- Create a set of extra manifest CRs that the GitOps ZTP pipeline uses to customize the cluster installs.
In your custom
/siteconfigdirectory, create an/extra-manifestfolder for your extra manifests. The following example illustrates a sample/siteconfigwith/extra-manifestfolder:siteconfig ├── site1-sno-du.yaml ├── site2-standard-du.yaml └── extra-manifest └── 01-example-machine-config.yaml-
Add your custom extra manifest CRs to the
siteconfig/extra-manifestdirectory. In your
SiteConfigCR, enter the directory name in theextraManifestPathfield, for example:clusters: - clusterName: "example-sno" networkType: "OVNKubernetes" extraManifestPath: extra-manifest
-
Save the
SiteConfigCRs and/extra-manifestCRs and push them to the site configuration repo.
The GitOps ZTP pipeline appends the CRs in the /extra-manifest directory to the default set of extra manifests during cluster provisioning.
17.8.2. Filtering custom resources using SiteConfig filters
By using filters, you can easily customize SiteConfig custom resources (CRs) to include or exclude other CRs for use in the installation phase of the GitOps Zero Touch Provisioning (ZTP) pipeline.
You can specify an inclusionDefault value of include or exclude for the SiteConfig CR, along with a list of the specific extraManifest RAN CRs that you want to include or exclude. Setting inclusionDefault to include makes the GitOps ZTP pipeline apply all the files in /source-crs/extra-manifest during installation. Setting inclusionDefault to exclude does the opposite.
You can exclude individual CRs from the /source-crs/extra-manifest folder that are otherwise included by default. The following example configures a custom single-node OpenShift SiteConfig CR to exclude the /source-crs/extra-manifest/03-sctp-machine-config-worker.yaml CR at installation time.
Some additional optional filtering scenarios are also described.
Prerequisites
- You configured the hub cluster for generating the required installation and policy CRs.
- You created a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and be defined as a source repository for the Argo CD application.
Procedure
To prevent the GitOps ZTP pipeline from applying the
03-sctp-machine-config-worker.yamlCR file, apply the following YAML in theSiteConfigCR:apiVersion: ran.openshift.io/v1 kind: SiteConfig metadata: name: "site1-sno-du" namespace: "site1-sno-du" spec: baseDomain: "example.com" pullSecretRef: name: "assisted-deployment-pull-secret" clusterImageSetNameRef: "openshift-4.13" sshPublicKey: "<ssh_public_key>" clusters: - clusterName: "site1-sno-du" extraManifests: filter: exclude: - 03-sctp-machine-config-worker.yamlThe GitOps ZTP pipeline skips the
03-sctp-machine-config-worker.yamlCR during installation. All other CRs in/source-crs/extra-manifestare applied.Save the
SiteConfigCR and push the changes to the site configuration repository.The GitOps ZTP pipeline monitors and adjusts what CRs it applies based on the
SiteConfigfilter instructions.Optional: To prevent the GitOps ZTP pipeline from applying all the
/source-crs/extra-manifestCRs during cluster installation, apply the following YAML in theSiteConfigCR:- clusterName: "site1-sno-du" extraManifests: filter: inclusionDefault: excludeOptional: To exclude all the
/source-crs/extra-manifestRAN CRs and instead include a custom CR file during installation, edit the customSiteConfigCR to set the custom manifests folder and theincludefile, for example:clusters: - clusterName: "site1-sno-du" extraManifestPath: "<custom_manifest_folder>" 1 extraManifests: filter: inclusionDefault: exclude 2 include: - custom-sctp-machine-config-worker.yaml
The following example illustrates the custom folder structure:
siteconfig ├── site1-sno-du.yaml └── user-custom-manifest └── custom-sctp-machine-config-worker.yaml
17.9. Advanced managed cluster configuration with PolicyGenTemplate resources
You can use PolicyGenTemplate CRs to deploy custom functionality in your managed clusters.
17.9.1. Deploying additional changes to clusters
If you require cluster configuration changes outside of the base GitOps Zero Touch Provisioning (ZTP) pipeline configuration, there are three options:
- Apply the additional configuration after the GitOps ZTP pipeline is complete
- When the GitOps ZTP pipeline deployment is complete, the deployed cluster is ready for application workloads. At this point, you can install additional Operators and apply configurations specific to your requirements. Ensure that additional configurations do not negatively affect the performance of the platform or allocated CPU budget.
- Add content to the GitOps ZTP library
- The base source custom resources (CRs) that you deploy with the GitOps ZTP pipeline can be augmented with custom content as required.
- Create extra manifests for the cluster installation
- Extra manifests are applied during installation and make the installation process more efficient.
Providing additional source CRs or modifying existing source CRs can significantly impact the performance or CPU profile of OpenShift Container Platform.
Additional resources
17.9.2. Using PolicyGenTemplate CRs to override source CRs content
PolicyGenTemplate custom resources (CRs) allow you to overlay additional configuration details on top of the base source CRs provided with the GitOps plugin in the ztp-site-generate container. You can think of PolicyGenTemplate CRs as a logical merge or patch to the base CR. Use PolicyGenTemplate CRs to update a single field of the base CR, or overlay the entire contents of the base CR. You can update values and insert fields that are not in the base CR.
The following example procedure describes how to update fields in the generated PerformanceProfile CR for the reference configuration based on the PolicyGenTemplate CR in the group-du-sno-ranGen.yaml file. Use the procedure as a basis for modifying other parts of the PolicyGenTemplate based on your requirements.
Prerequisites
- Create a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and be defined as a source repository for Argo CD.
Procedure
Review the baseline source CR for existing content. You can review the source CRs listed in the reference
PolicyGenTemplateCRs by extracting them from the GitOps Zero Touch Provisioning (ZTP) container.Create an
/outfolder:$ mkdir -p ./out
Extract the source CRs:
$ podman run --log-driver=none --rm registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.13.1 extract /home/ztp --tar | tar x -C ./out
Review the baseline
PerformanceProfileCR in./out/source-crs/PerformanceProfile.yaml:apiVersion: performance.openshift.io/v2 kind: PerformanceProfile metadata: name: $name annotations: ran.openshift.io/ztp-deploy-wave: "10" spec: additionalKernelArgs: - "idle=poll" - "rcupdate.rcu_normal_after_boot=0" cpu: isolated: $isolated reserved: $reserved hugepages: defaultHugepagesSize: $defaultHugepagesSize pages: - size: $size count: $count node: $node machineConfigPoolSelector: pools.operator.machineconfiguration.openshift.io/$mcp: "" net: userLevelNetworking: true nodeSelector: node-role.kubernetes.io/$mcp: '' numa: topologyPolicy: "restricted" realTimeKernel: enabled: trueNoteAny fields in the source CR which contain
$…are removed from the generated CR if they are not provided in thePolicyGenTemplateCR.Update the
PolicyGenTemplateentry forPerformanceProfilein thegroup-du-sno-ranGen.yamlreference file. The following examplePolicyGenTemplateCR stanza supplies appropriate CPU specifications, sets thehugepagesconfiguration, and adds a new field that setsgloballyDisableIrqLoadBalancingto false.- fileName: PerformanceProfile.yaml policyName: "config-policy" metadata: name: openshift-node-performance-profile spec: cpu: # These must be tailored for the specific hardware platform isolated: "2-19,22-39" reserved: "0-1,20-21" hugepages: defaultHugepagesSize: 1G pages: - size: 1G count: 10 globallyDisableIrqLoadBalancing: false-
Commit the
PolicyGenTemplatechange in Git, and then push to the Git repository being monitored by the GitOps ZTP argo CD application.
Example output
The GitOps ZTP application generates an RHACM policy that contains the generated PerformanceProfile CR. The contents of that CR are derived by merging the metadata and spec contents from the PerformanceProfile entry in the PolicyGenTemplate onto the source CR. The resulting CR has the following content:
---
apiVersion: performance.openshift.io/v2
kind: PerformanceProfile
metadata:
name: openshift-node-performance-profile
spec:
additionalKernelArgs:
- idle=poll
- rcupdate.rcu_normal_after_boot=0
cpu:
isolated: 2-19,22-39
reserved: 0-1,20-21
globallyDisableIrqLoadBalancing: false
hugepages:
defaultHugepagesSize: 1G
pages:
- count: 10
size: 1G
machineConfigPoolSelector:
pools.operator.machineconfiguration.openshift.io/master: ""
net:
userLevelNetworking: true
nodeSelector:
node-role.kubernetes.io/master: ""
numa:
topologyPolicy: restricted
realTimeKernel:
enabled: true
In the /source-crs folder that you extract from the ztp-site-generate container, the $ syntax is not used for template substitution as implied by the syntax. Rather, if the policyGen tool sees the $ prefix for a string and you do not specify a value for that field in the related PolicyGenTemplate CR, the field is omitted from the output CR entirely.
An exception to this is the $mcp variable in /source-crs YAML files that is substituted with the specified value for mcp from the PolicyGenTemplate CR. For example, in example/policygentemplates/group-du-standard-ranGen.yaml, the value for mcp is worker:
spec:
bindingRules:
group-du-standard: ""
mcp: "worker"
The policyGen tool replace instances of $mcp with worker in the output CRs.
17.9.3. Adding new content to the GitOps ZTP pipeline
The source CRs in the GitOps Zero Touch Provisioning (ZTP) site generator container provide a set of critical features and node tuning settings for RAN Distributed Unit (DU) applications. These are applied to the clusters that you deploy with GitOps ZTP. To add or modify existing source CRs in the ztp-site-generate container, rebuild the ztp-site-generate container and make it available to the hub cluster, typically from the disconnected registry associated with the hub cluster. Any valid OpenShift Container Platform CR can be added.
Perform the following procedure to add new content to the GitOps ZTP pipeline.
Procedure
Create a directory containing a Containerfile and the source CR YAML files that you want to include in the updated
ztp-site-generatecontainer, for example:ztp-update/ ├── example-cr1.yaml ├── example-cr2.yaml └── ztp-update.in
Add the following content to the
ztp-update.inContainerfile:FROM registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.13 ADD example-cr2.yaml /kustomize/plugin/ran.openshift.io/v1/policygentemplate/source-crs/ ADD example-cr1.yaml /kustomize/plugin/ran.openshift.io/v1/policygentemplate/source-crs/
Open a terminal at the
ztp-update/folder and rebuild the container:$ podman build -t ztp-site-generate-rhel8-custom:v4.13-custom-1
Push the built container image to your disconnected registry, for example:
$ podman push localhost/ztp-site-generate-rhel8-custom:v4.13-custom-1 registry.example.com:5000/ztp-site-generate-rhel8-custom:v4.13-custom-1
Patch the Argo CD instance on the hub cluster to point to the newly built container image:
$ oc patch -n openshift-gitops argocd openshift-gitops --type=json -p '[{"op": "replace", "path":"/spec/repo/initContainers/0/image", "value": "registry.example.com:5000/ztp-site-generate-rhel8-custom:v4.13-custom-1"} ]'When the Argo CD instance is patched, the
openshift-gitops-repo-serverpod automatically restarts.
Verification
Verify that the new
openshift-gitops-repo-serverpod has completed initialization and that the previous repo pod is terminated:$ oc get pods -n openshift-gitops | grep openshift-gitops-repo-server
Example output
openshift-gitops-server-7df86f9774-db682 1/1 Running 1 28s
You must wait until the new
openshift-gitops-repo-serverpod has completed initialization and the previous pod is terminated before the newly added container image content is available.
Additional resources
-
Alternatively, you can patch the ArgoCD instance as described in Configuring the hub cluster with ArgoCD by modifying
argocd-openshift-gitops-patch.jsonwith an updatedinitContainerimage before applying the patch file.
17.9.4. Configuring policy compliance evaluation timeouts for PolicyGenTemplate CRs
Use Red Hat Advanced Cluster Management (RHACM) installed on a hub cluster to monitor and report on whether your managed clusters are compliant with applied policies. RHACM uses policy templates to apply predefined policy controllers and policies. Policy controllers are Kubernetes custom resource definition (CRD) instances.
You can override the default policy evaluation intervals with PolicyGenTemplate custom resources (CRs). You configure duration settings that define how long a ConfigurationPolicy CR can be in a state of policy compliance or non-compliance before RHACM re-evaluates the applied cluster policies.
The GitOps Zero Touch Provisioning (ZTP) policy generator generates ConfigurationPolicy CR policies with pre-defined policy evaluation intervals. The default value for the noncompliant state is 10 seconds. The default value for the compliant state is 10 minutes. To disable the evaluation interval, set the value to never.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. - You have created a Git repository where you manage your custom site configuration data.
Procedure
To configure the evaluation interval for all policies in a
PolicyGenTemplateCR, addevaluationIntervalto thespecfield, and then set the appropriatecompliantandnoncompliantvalues. For example:spec: evaluationInterval: compliant: 30m noncompliant: 20sTo configure the evaluation interval for the
spec.sourceFilesobject in aPolicyGenTemplateCR, addevaluationIntervalto thesourceFilesfield, for example:spec: sourceFiles: - fileName: SriovSubscription.yaml policyName: "sriov-sub-policy" evaluationInterval: compliant: never noncompliant: 10s-
Commit the
PolicyGenTemplateCRs files in the Git repository and push your changes.
Verification
Check that the managed spoke cluster policies are monitored at the expected intervals.
-
Log in as a user with
cluster-adminprivileges on the managed cluster. Get the pods that are running in the
open-cluster-management-agent-addonnamespace. Run the following command:$ oc get pods -n open-cluster-management-agent-addon
Example output
NAME READY STATUS RESTARTS AGE config-policy-controller-858b894c68-v4xdb 1/1 Running 22 (5d8h ago) 10d
Check the applied policies are being evaluated at the expected interval in the logs for the
config-policy-controllerpod:$ oc logs -n open-cluster-management-agent-addon config-policy-controller-858b894c68-v4xdb
Example output
2022-05-10T15:10:25.280Z info configuration-policy-controller controllers/configurationpolicy_controller.go:166 Skipping the policy evaluation due to the policy not reaching the evaluation interval {"policy": "compute-1-config-policy-config"} 2022-05-10T15:10:25.280Z info configuration-policy-controller controllers/configurationpolicy_controller.go:166 Skipping the policy evaluation due to the policy not reaching the evaluation interval {"policy": "compute-1-common-compute-1-catalog-policy-config"}
17.9.5. Signalling GitOps ZTP cluster deployment completion with validator inform policies
Create a validator inform policy that signals when the GitOps Zero Touch Provisioning (ZTP) installation and configuration of the deployed cluster is complete. This policy can be used for deployments of single-node OpenShift clusters, three-node clusters, and standard clusters.
Procedure
Create a standalone
PolicyGenTemplatecustom resource (CR) that contains the source filevalidatorCRs/informDuValidator.yaml. You only need one standalonePolicyGenTemplateCR for each cluster type. For example, this CR applies a validator inform policy for single-node OpenShift clusters:Example single-node cluster validator inform policy CR (group-du-sno-validator-ranGen.yaml)
apiVersion: ran.openshift.io/v1 kind: PolicyGenTemplate metadata: name: "group-du-sno-validator" 1 namespace: "ztp-group" 2 spec: bindingRules: group-du-sno: "" 3 bindingExcludedRules: ztp-done: "" 4 mcp: "master" 5 sourceFiles: - fileName: validatorCRs/informDuValidator.yaml remediationAction: inform 6 policyName: "du-policy" 7
- 1
- The name of
PolicyGenTemplatesobject. This name is also used as part of the names for theplacementBinding,placementRule, andpolicythat are created in the requestednamespace. - 2
- This value should match the
namespaceused in the groupPolicyGenTemplates. - 3
- The
group-du-*label defined inbindingRulesmust exist in theSiteConfigfiles. - 4
- The label defined in
bindingExcludedRulesmust be`ztp-done:`. Theztp-donelabel is used in coordination with the Topology Aware Lifecycle Manager. - 5
mcpdefines theMachineConfigPoolobject that is used in the source filevalidatorCRs/informDuValidator.yaml. It should bemasterfor single node and three-node cluster deployments andworkerfor standard cluster deployments.- 6
- Optional. The default value is
inform. - 7
- This value is used as part of the name for the generated RHACM policy. The generated validator policy for the single node example is
group-du-sno-validator-du-policy.
-
Commit the
PolicyGenTemplateCR file in your Git repository and push the changes.
Additional resources
17.9.6. Configuring power states using PolicyGenTemplates CRs
For low latency and high-performance edge deployments, it is necessary to disable or limit C-states and P-states. With this configuration, the CPU runs at a constant frequency, which is typically the maximum turbo frequency. This ensures that the CPU is always running at its maximum speed, which results in high performance and low latency. This leads to the best latency for workloads. However, this also leads to the highest power consumption, which might not be necessary for all workloads.
Workloads can be classified as critical or non-critical, with critical workloads requiring disabled C-state and P-state settings for high performance and low latency, while non-critical workloads use C-state and P-state settings for power savings at the expense of some latency and performance. You can configure the following three power states using GitOps Zero Touch Provisioning (ZTP):
- High-performance mode provides ultra low latency at the highest power consumption.
- Performance mode provides low latency at a relatively high power consumption.
- Power saving balances reduced power consumption with increased latency.
The default configuration is for a low latency, performance mode.
PolicyGenTemplate custom resources (CRs) allow you to overlay additional configuration details onto the base source CRs provided with the GitOps plugin in the ztp-site-generate container.
Configure the power states by updating the workloadHints fields in the generated PerformanceProfile CR for the reference configuration, based on the PolicyGenTemplate CR in the group-du-sno-ranGen.yaml.
The following common prerequisites apply to configuring all three power states.
Prerequisites
- You have created a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and be defined as a source repository for Argo CD.
- You have followed the procedure described in "Preparing the GitOps ZTP site configuration repository".
Additional resources
17.9.6.1. Configuring performance mode using PolicyGenTemplate CRs
Follow this example to set performance mode by updating the workloadHints fields in the generated PerformanceProfile CR for the reference configuration, based on the PolicyGenTemplate CR in the group-du-sno-ranGen.yaml.
Performance mode provides low latency at a relatively high power consumption.
Prerequisites
- You have configured the BIOS with performance related settings by following the guidance in "Configuring host firmware for low latency and high performance".
Procedure
Update the
PolicyGenTemplateentry forPerformanceProfilein thegroup-du-sno-ranGen.yamlreference file inout/argocd/example/policygentemplatesas follows to set performance mode.- fileName: PerformanceProfile.yaml policyName: "config-policy" metadata: [...] spec: [...] workloadHints: realTime: true highPowerConsumption: false perPodPowerManagement: false-
Commit the
PolicyGenTemplatechange in Git, and then push to the Git repository being monitored by the GitOps ZTP Argo CD application.
17.9.6.2. Configuring high-performance mode using PolicyGenTemplate CRs
Follow this example to set high performance mode by updating the workloadHints fields in the generated PerformanceProfile CR for the reference configuration, based on the PolicyGenTemplate CR in the group-du-sno-ranGen.yaml.
High performance mode provides ultra low latency at the highest power consumption.
Prerequisites
- You have configured the BIOS with performance related settings by following the guidance in "Configuring host firmware for low latency and high performance".
Procedure
Update the
PolicyGenTemplateentry forPerformanceProfilein thegroup-du-sno-ranGen.yamlreference file inout/argocd/example/policygentemplatesas follows to set high-performance mode.- fileName: PerformanceProfile.yaml policyName: "config-policy" metadata: [...] spec: [...] workloadHints: realTime: true highPowerConsumption: true perPodPowerManagement: false-
Commit the
PolicyGenTemplatechange in Git, and then push to the Git repository being monitored by the GitOps ZTP Argo CD application.
17.9.6.3. Configuring power saving mode using PolicyGenTemplate CRs
Follow this example to set power saving mode by updating the workloadHints fields in the generated PerformanceProfile CR for the reference configuration, based on the PolicyGenTemplate CR in the group-du-sno-ranGen.yaml.
The power saving mode balances reduced power consumption with increased latency.
Prerequisites
- You enabled C-states and OS-controlled P-states in the BIOS.
Procedure
Update the
PolicyGenTemplateentry forPerformanceProfilein thegroup-du-sno-ranGen.yamlreference file inout/argocd/example/policygentemplatesas follows to configure power saving mode. It is recommended to configure the CPU governor for the power saving mode through the additional kernel arguments object.- fileName: PerformanceProfile.yaml policyName: "config-policy" metadata: [...] spec: [...] workloadHints: realTime: true highPowerConsumption: false perPodPowerManagement: true [...] additionalKernelArgs: - [...] - "cpufreq.default_governor=schedutil" 1- 1
- The
schedutilgovernor is recommended, however, other governors that can be used includeondemandandpowersave.
-
Commit the
PolicyGenTemplatechange in Git, and then push to the Git repository being monitored by the GitOps ZTP Argo CD application.
Verification
Select a worker node in your deployed cluster from the list of nodes identified by using the following command:
$ oc get nodes
Log in to the node by using the following command:
$ oc debug node/<node-name>
Replace
<node-name>with the name of the node you want to verify the power state on.Set
/hostas the root directory within the debug shell. The debug pod mounts the host’s root file system in/hostwithin the pod. By changing the root directory to/host, you can run binaries contained in the host’s executable paths as shown in the following example:# chroot /host
Run the following command to verify the applied power state:
# cat /proc/cmdline
Expected output
-
For power saving mode the
intel_pstate=passive.
17.9.6.4. Maximizing power savings
Limiting the maximum CPU frequency is recommended to achieve maximum power savings. Enabling C-states on the non-critical workload CPUs without restricting the maximum CPU frequency negates much of the power savings by boosting the frequency of the critical CPUs.
Maximize power savings by updating the sysfs plugin fields, setting an appropriate value for max_perf_pct in the TunedPerformancePatch CR for the reference configuration. This example based on the group-du-sno-ranGen.yaml describes the procedure to follow to restrict the maximum CPU frequency.
Prerequisites
- You have configured power savings mode as described in "Using PolicyGenTemplate CRs to configure power savings mode".
Procedure
Update the
PolicyGenTemplateentry forTunedPerformancePatchin thegroup-du-sno-ranGen.yamlreference file inout/argocd/example/policygentemplates. To maximize power savings, addmax_perf_pctas shown in the following example:- fileName: TunedPerformancePatch.yaml policyName: "config-policy" spec: profile: - name: performance-patch data: | [...] [sysfs] /sys/devices/system/cpu/intel_pstate/max_perf_pct=<x> 1- 1
- The
max_perf_pctcontrols the maximum frequency thecpufreqdriver is allowed to set as a percentage of the maximum supported CPU frequency. This value applies to all CPUs. You can check the maximum supported frequency in/sys/devices/system/cpu/cpu0/cpufreq/cpuinfo_max_freq. As a starting point, you can use a percentage that caps all CPUs at theAll Cores Turbofrequency. TheAll Cores Turbofrequency is the frequency that all cores will run at when the cores are all fully occupied.
NoteTo maximize power savings, set a lower value. Setting a lower value for
max_perf_pctlimits the maximum CPU frequency, thereby reducing power consumption, but also potentially impacting performance. Experiment with different values and monitor the system’s performance and power consumption to find the optimal setting for your use-case.-
Commit the
PolicyGenTemplatechange in Git, and then push to the Git repository being monitored by the GitOps ZTP Argo CD application.
17.9.7. Configuring LVM Storage using PolicyGenTemplate CRs
You can configure Logical volume manager storage (LVM Storage) for managed clusters that you deploy with GitOps Zero Touch Provisioning (ZTP).
You use LVM Storage to persist event subscriptions when you use PTP events or bare-metal hardware events with HTTP transport.
Prerequisites
-
Install the OpenShift CLI (
oc). -
Log in as a user with
cluster-adminprivileges. - Create a Git repository where you manage your custom site configuration data.
Procedure
To configure LVM Storage for new managed clusters, add the following YAML to
spec.sourceFilesin thecommon-ranGen.yamlfile:- fileName: StorageLVMOSubscriptionNS.yaml policyName: subscription-policies - fileName: StorageLVMOSubscriptionOperGroup.yaml policyName: subscription-policies - fileName: StorageLVMOSubscription.yaml spec: name: lvms-operator channel: stable-4.13 policyName: subscription-policiesAdd the
LVMClusterCR tospec.sourceFilesin your specific group or individual site configuration file. For example, in thegroup-du-sno-ranGen.yamlfile, add the following:- fileName: StorageLVMCluster.yaml policyName: "lvmo-config" 1 spec: storage: deviceClasses: - name: vg1 thinPoolConfig: name: thin-pool-1 sizePercent: 90 overprovisionRatio: 10- 1
- This example configuration creates a volume group (
vg1) with all the available devices, except the disk where OpenShift Container Platform is installed. A thin-pool logical volume is also created.
- Merge any other required changes and files with your custom site repository.
-
Commit the
PolicyGenTemplatechanges in Git, and then push the changes to your site configuration repository to deploy LVM Storage to new sites using GitOps ZTP.
17.9.8. Configuring PTP events with PolicyGenTemplate CRs
You can use the GitOps ZTP pipeline to configure PTP events that use HTTP or AMQP transport.
Use HTTP transport instead of AMQP for PTP and bare-metal events where possible. AMQ Interconnect is EOL from 30 June 2024. Extended life cycle support (ELS) for AMQ Interconnect ends 29 November 2029. For more information see, Red Hat AMQ Interconnect support status.
17.9.8.1. Configuring PTP events that use HTTP transport
You can configure PTP events that use HTTP transport on managed clusters that you deploy with the GitOps Zero Touch Provisioning (ZTP) pipeline.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in as a user with
cluster-adminprivileges. - You have created a Git repository where you manage your custom site configuration data.
Procedure
Apply the following
PolicyGenTemplatechanges togroup-du-3node-ranGen.yaml,group-du-sno-ranGen.yaml, orgroup-du-standard-ranGen.yamlfiles according to your requirements:In
.sourceFiles, add thePtpOperatorConfigCR file that configures the transport host:- fileName: PtpOperatorConfigForEvent.yaml policyName: "config-policy" spec: daemonNodeSelector: {} ptpEventConfig: enableEventPublisher: true transportHost: http://ptp-event-publisher-service-NODE_NAME.openshift-ptp.svc.cluster.local:9043NoteIn OpenShift Container Platform 4.13 or later, you do not need to set the
transportHostfield in thePtpOperatorConfigresource when you use HTTP transport with PTP events.Configure the
linuxptpandphc2sysfor the PTP clock type and interface. For example, add the following stanza into.sourceFiles:- fileName: PtpConfigSlave.yaml 1 policyName: "config-policy" metadata: name: "du-ptp-slave" spec: profile: - name: "slave" interface: "ens5f1" 2 ptp4lOpts: "-2 -s --summary_interval -4" 3 phc2sysOpts: "-a -r -m -n 24 -N 8 -R 16" 4 ptpClockThreshold: 5 holdOverTimeout: 30 #secs maxOffsetThreshold: 100 #nano secs minOffsetThreshold: -100 #nano secs
- 1
- Can be one of
PtpConfigMaster.yaml,PtpConfigSlave.yaml, orPtpConfigSlaveCvl.yamldepending on your requirements.PtpConfigSlaveCvl.yamlconfigureslinuxptpservices for an Intel E810 Columbiaville NIC. For configurations based ongroup-du-sno-ranGen.yamlorgroup-du-3node-ranGen.yaml, usePtpConfigSlave.yaml. - 2
- Device specific interface name.
- 3
- You must append the
--summary_interval -4value toptp4lOptsin.spec.sourceFiles.spec.profileto enable PTP fast events. - 4
- Required
phc2sysOptsvalues.-mprints messages tostdout. Thelinuxptp-daemonDaemonSetparses the logs and generates Prometheus metrics. - 5
- Optional. If the
ptpClockThresholdstanza is not present, default values are used for theptpClockThresholdfields. The stanza shows defaultptpClockThresholdvalues. TheptpClockThresholdvalues configure how long after the PTP master clock is disconnected before PTP events are triggered.holdOverTimeoutis the time value in seconds before the PTP clock event state changes toFREERUNwhen the PTP master clock is disconnected. ThemaxOffsetThresholdandminOffsetThresholdsettings configure offset values in nanoseconds that compare against the values forCLOCK_REALTIME(phc2sys) or master offset (ptp4l). When theptp4lorphc2sysoffset value is outside this range, the PTP clock state is set toFREERUN. When the offset value is within this range, the PTP clock state is set toLOCKED.
- Merge any other required changes and files with your custom site repository.
- Push the changes to your site configuration repository to deploy PTP fast events to new sites using GitOps ZTP.
Additional resources
17.9.8.2. Configuring PTP events that use AMQP transport
You can configure PTP events that use AMQP transport on managed clusters that you deploy with the GitOps Zero Touch Provisioning (ZTP) pipeline.
Use HTTP transport instead of AMQP for PTP and bare-metal events where possible. AMQ Interconnect is EOL from 30 June 2024. Extended life cycle support (ELS) for AMQ Interconnect ends 29 November 2029. For more information see, Red Hat AMQ Interconnect support status.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in as a user with
cluster-adminprivileges. - You have created a Git repository where you manage your custom site configuration data.
Procedure
Add the following YAML into
.spec.sourceFilesin thecommon-ranGen.yamlfile to configure the AMQP Operator:#AMQ interconnect operator for fast events - fileName: AmqSubscriptionNS.yaml policyName: "subscriptions-policy" - fileName: AmqSubscriptionOperGroup.yaml policyName: "subscriptions-policy" - fileName: AmqSubscription.yaml policyName: "subscriptions-policy"
Apply the following
PolicyGenTemplatechanges togroup-du-3node-ranGen.yaml,group-du-sno-ranGen.yaml, orgroup-du-standard-ranGen.yamlfiles according to your requirements:In
.sourceFiles, add thePtpOperatorConfigCR file that configures the AMQ transport host to theconfig-policy:- fileName: PtpOperatorConfigForEvent.yaml policyName: "config-policy" spec: daemonNodeSelector: {} ptpEventConfig: enableEventPublisher: true transportHost: "amqp://amq-router.amq-router.svc.cluster.local"Configure the
linuxptpandphc2sysfor the PTP clock type and interface. For example, add the following stanza into.sourceFiles:- fileName: PtpConfigSlave.yaml 1 policyName: "config-policy" metadata: name: "du-ptp-slave" spec: profile: - name: "slave" interface: "ens5f1" 2 ptp4lOpts: "-2 -s --summary_interval -4" 3 phc2sysOpts: "-a -r -m -n 24 -N 8 -R 16" 4 ptpClockThreshold: 5 holdOverTimeout: 30 #secs maxOffsetThreshold: 100 #nano secs minOffsetThreshold: -100 #nano secs
- 1
- Can be one
PtpConfigMaster.yaml,PtpConfigSlave.yaml, orPtpConfigSlaveCvl.yamldepending on your requirements.PtpConfigSlaveCvl.yamlconfigureslinuxptpservices for an Intel E810 Columbiaville NIC. For configurations based ongroup-du-sno-ranGen.yamlorgroup-du-3node-ranGen.yaml, usePtpConfigSlave.yaml. - 2
- Device specific interface name.
- 3
- You must append the
--summary_interval -4value toptp4lOptsin.spec.sourceFiles.spec.profileto enable PTP fast events. - 4
- Required
phc2sysOptsvalues.-mprints messages tostdout. Thelinuxptp-daemonDaemonSetparses the logs and generates Prometheus metrics. - 5
- Optional. If the
ptpClockThresholdstanza is not present, default values are used for theptpClockThresholdfields. The stanza shows defaultptpClockThresholdvalues. TheptpClockThresholdvalues configure how long after the PTP master clock is disconnected before PTP events are triggered.holdOverTimeoutis the time value in seconds before the PTP clock event state changes toFREERUNwhen the PTP master clock is disconnected. ThemaxOffsetThresholdandminOffsetThresholdsettings configure offset values in nanoseconds that compare against the values forCLOCK_REALTIME(phc2sys) or master offset (ptp4l). When theptp4lorphc2sysoffset value is outside this range, the PTP clock state is set toFREERUN. When the offset value is within this range, the PTP clock state is set toLOCKED.
Apply the following
PolicyGenTemplatechanges to your specific site YAML files, for example,example-sno-site.yaml:In
.sourceFiles, add theInterconnectCR file that configures the AMQ router to theconfig-policy:- fileName: AmqInstance.yaml policyName: "config-policy"
- Merge any other required changes and files with your custom site repository.
- Push the changes to your site configuration repository to deploy PTP fast events to new sites using GitOps ZTP.
Additional resources
- Installing the AMQ messaging bus
- For more information about container image registries, see OpenShift image registry overview.
17.9.9. Configuring bare-metal events with PolicyGenTemplate CRs
You can use the GitOps ZTP pipeline to configure bare-metal events that use HTTP or AMQP transport.
Use HTTP transport instead of AMQP for PTP and bare-metal events where possible. AMQ Interconnect is EOL from 30 June 2024. Extended life cycle support (ELS) for AMQ Interconnect ends 29 November 2029. For more information see, Red Hat AMQ Interconnect support status.
17.9.9.1. Configuring bare-metal events that use HTTP transport
You can configure bare-metal events that use HTTP transport on managed clusters that you deploy with the GitOps Zero Touch Provisioning (ZTP) pipeline.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in as a user with
cluster-adminprivileges. - You have created a Git repository where you manage your custom site configuration data.
Procedure
Configure the Bare Metal Event Relay Operator by adding the following YAML to
spec.sourceFilesin thecommon-ranGen.yamlfile:# Bare Metal Event Relay operator - fileName: BareMetalEventRelaySubscriptionNS.yaml policyName: "subscriptions-policy" - fileName: BareMetalEventRelaySubscriptionOperGroup.yaml policyName: "subscriptions-policy" - fileName: BareMetalEventRelaySubscription.yaml policyName: "subscriptions-policy"
Add the
HardwareEventCR tospec.sourceFilesin your specific group configuration file, for example, in thegroup-du-sno-ranGen.yamlfile:- fileName: HardwareEvent.yaml 1 policyName: "config-policy" spec: nodeSelector: {} transportHost: "http://hw-event-publisher-service.openshift-bare-metal-events.svc.cluster.local:9043" logLevel: "info"- 1
- Each baseboard management controller (BMC) requires a single
HardwareEventCR only.
NoteIn OpenShift Container Platform 4.13 or later, you do not need to set the
transportHostfield in theHardwareEventcustom resource (CR) when you use HTTP transport with bare-metal events.- Merge any other required changes and files with your custom site repository.
- Push the changes to your site configuration repository to deploy bare-metal events to new sites with GitOps ZTP.
Create the Redfish Secret by running the following command:
$ oc -n openshift-bare-metal-events create secret generic redfish-basic-auth \ --from-literal=username=<bmc_username> --from-literal=password=<bmc_password> \ --from-literal=hostaddr="<bmc_host_ip_addr>"
17.9.9.2. Configuring bare-metal events that use AMQP transport
You can configure bare-metal events that use AMQP transport on managed clusters that you deploy with the GitOps Zero Touch Provisioning (ZTP) pipeline.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in as a user with
cluster-adminprivileges. - You have created a Git repository where you manage your custom site configuration data.
Procedure
To configure the AMQ Interconnect Operator and the Bare Metal Event Relay Operator, add the following YAML to
spec.sourceFilesin thecommon-ranGen.yamlfile:# AMQ interconnect operator for fast events - fileName: AmqSubscriptionNS.yaml policyName: "subscriptions-policy" - fileName: AmqSubscriptionOperGroup.yaml policyName: "subscriptions-policy" - fileName: AmqSubscription.yaml policyName: "subscriptions-policy" # Bare Metal Event Rely operator - fileName: BareMetalEventRelaySubscriptionNS.yaml policyName: "subscriptions-policy" - fileName: BareMetalEventRelaySubscriptionOperGroup.yaml policyName: "subscriptions-policy" - fileName: BareMetalEventRelaySubscription.yaml policyName: "subscriptions-policy"
Add the
InterconnectCR to.spec.sourceFilesin the site configuration file, for example, theexample-sno-site.yamlfile:- fileName: AmqInstance.yaml policyName: "config-policy"
Add the
HardwareEventCR tospec.sourceFilesin your specific group configuration file, for example, in thegroup-du-sno-ranGen.yamlfile:- fileName: HardwareEvent.yaml policyName: "config-policy" spec: nodeSelector: {} transportHost: "amqp://<amq_interconnect_name>.<amq_interconnect_namespace>.svc.cluster.local" 1 logLevel: "info"- 1
- The
transportHostURL is composed of the existing AMQ Interconnect CRnameandnamespace. For example, intransportHost: "amqp://amq-router.amq-router.svc.cluster.local", the AMQ Interconnectnameandnamespaceare both set toamq-router.
NoteEach baseboard management controller (BMC) requires a single
HardwareEventresource only.-
Commit the
PolicyGenTemplatechange in Git, and then push the changes to your site configuration repository to deploy bare-metal events monitoring to new sites using GitOps ZTP. Create the Redfish Secret by running the following command:
$ oc -n openshift-bare-metal-events create secret generic redfish-basic-auth \ --from-literal=username=<bmc_username> --from-literal=password=<bmc_password> \ --from-literal=hostaddr="<bmc_host_ip_addr>"
17.9.10. Configuring the Image Registry Operator for local caching of images
OpenShift Container Platform manages image caching using a local registry. In edge computing use cases, clusters are often subject to bandwidth restrictions when communicating with centralized image registries, which might result in long image download times.
Long download times are unavoidable during initial deployment. Over time, there is a risk that CRI-O will erase the /var/lib/containers/storage directory in the case of an unexpected shutdown. To address long image download times, you can create a local image registry on remote managed clusters using GitOps Zero Touch Provisioning (ZTP). This is useful in Edge computing scenarios where clusters are deployed at the far edge of the network.
Before you can set up the local image registry with GitOps ZTP, you need to configure disk partitioning in the SiteConfig CR that you use to install the remote managed cluster. After installation, you configure the local image registry using a PolicyGenTemplate CR. Then, the GitOps ZTP pipeline creates Persistent Volume (PV) and Persistent Volume Claim (PVC) CRs and patches the imageregistry configuration.
The local image registry can only be used for user application images and cannot be used for the OpenShift Container Platform or Operator Lifecycle Manager operator images.
Additional resources
17.9.10.1. Configuring disk partitioning with SiteConfig
Configure disk partitioning for a managed cluster using a SiteConfig CR and GitOps Zero Touch Provisioning (ZTP). The disk partition details in the SiteConfig CR must match the underlying disk.
Use persistent naming for devices to avoid device names such as /dev/sda and /dev/sdb being switched at every reboot. You can use rootDeviceHints to choose the bootable device and then use same device for further partitioning.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. - You have created a Git repository where you manage your custom site configuration data for use with GitOps Zero Touch Provisioning (ZTP).
Procedure
Add the following YAML that describes the host disk partitioning to the
SiteConfigCR that you use to install the managed cluster:nodes: rootDeviceHints: wwn: "0x62cea7f05c98c2002708a0a22ff480ea" diskPartition: - device: /dev/disk/by-id/wwn-0x62cea7f05c98c2002708a0a22ff480ea 1 partitions: - mount_point: /var/imageregistry size: 102500 2 start: 344844 3- 1
- This setting depends on the hardware. The setting can be a serial number or device name. The value must match the value set for
rootDeviceHints. - 2
- The minimum value for
sizeis 102500 MiB. - 3
- The minimum value for
startis 25000 MiB. The total value ofsizeandstartmust not exceed the disk size, or the installation will fail.
-
Save the
SiteConfigCR and push it to the site configuration repo.
The GitOps ZTP pipeline provisions the cluster using the SiteConfig CR and configures the disk partition.
17.9.10.2. Configuring the image registry using PolicyGenTemplate CRs
Use PolicyGenTemplate (PGT) CRs to apply the CRs required to configure the image registry and patch the imageregistry configuration.
Prerequisites
- You have configured a disk partition in the managed cluster.
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. - You have created a Git repository where you manage your custom site configuration data for use with GitOps Zero Touch Provisioning (ZTP).
Procedure
Configure the storage class, persistent volume claim, persistent volume, and image registry configuration in the appropriate
PolicyGenTemplateCR. For example, to configure an individual site, add the following YAML to the fileexample-sno-site.yaml:sourceFiles: # storage class - fileName: StorageClass.yaml policyName: "sc-for-image-registry" metadata: name: image-registry-sc annotations: ran.openshift.io/ztp-deploy-wave: "100" 1 # persistent volume claim - fileName: StoragePVC.yaml policyName: "pvc-for-image-registry" metadata: name: image-registry-pvc namespace: openshift-image-registry annotations: ran.openshift.io/ztp-deploy-wave: "100" spec: accessModes: - ReadWriteMany resources: requests: storage: 100Gi storageClassName: image-registry-sc volumeMode: Filesystem # persistent volume - fileName: ImageRegistryPV.yaml 2 policyName: "pv-for-image-registry" metadata: annotations: ran.openshift.io/ztp-deploy-wave: "100" - fileName: ImageRegistryConfig.yaml policyName: "config-for-image-registry" complianceType: musthave metadata: annotations: ran.openshift.io/ztp-deploy-wave: "100" spec: storage: pvc: claim: "image-registry-pvc"- 1
- Set the appropriate value for
ztp-deploy-wavedepending on whether you are configuring image registries at the site, common, or group level.ztp-deploy-wave: "100"is suitable for development or testing because it allows you to group the referenced source files together. - 2
- In
ImageRegistryPV.yaml, ensure that thespec.local.pathfield is set to/var/imageregistryto match the value set for themount_pointfield in theSiteConfigCR.
ImportantDo not set
complianceType: mustonlyhavefor the- fileName: ImageRegistryConfig.yamlconfiguration. This can cause the registry pod deployment to fail.-
Commit the
PolicyGenTemplatechange in Git, and then push to the Git repository being monitored by the GitOps ZTP ArgoCD application.
Verification
Use the following steps to troubleshoot errors with the local image registry on the managed clusters:
Verify successful login to the registry while logged in to the managed cluster. Run the following commands:
Export the managed cluster name:
$ cluster=<managed_cluster_name>
Get the managed cluster
kubeconfigdetails:$ oc get secret -n $cluster $cluster-admin-password -o jsonpath='{.data.password}' | base64 -d > kubeadmin-password-$clusterDownload and export the cluster
kubeconfig:$ oc get secret -n $cluster $cluster-admin-kubeconfig -o jsonpath='{.data.kubeconfig}' | base64 -d > kubeconfig-$cluster && export KUBECONFIG=./kubeconfig-$cluster- Verify access to the image registry from the managed cluster. See "Accessing the registry".
Check that the
ConfigCRD in theimageregistry.operator.openshift.iogroup instance is not reporting errors. Run the following command while logged in to the managed cluster:$ oc get image.config.openshift.io cluster -o yaml
Example output
apiVersion: config.openshift.io/v1 kind: Image metadata: annotations: include.release.openshift.io/ibm-cloud-managed: "true" include.release.openshift.io/self-managed-high-availability: "true" include.release.openshift.io/single-node-developer: "true" release.openshift.io/create-only: "true" creationTimestamp: "2021-10-08T19:02:39Z" generation: 5 name: cluster resourceVersion: "688678648" uid: 0406521b-39c0-4cda-ba75-873697da75a4 spec: additionalTrustedCA: name: acm-iceCheck that the
PersistentVolumeClaimon the managed cluster is populated with data. Run the following command while logged in to the managed cluster:$ oc get pv image-registry-sc
Check that the
registry*pod is running and is located under theopenshift-image-registrynamespace.$ oc get pods -n openshift-image-registry | grep registry*
Example output
cluster-image-registry-operator-68f5c9c589-42cfg 1/1 Running 0 8d image-registry-5f8987879-6nx6h 1/1 Running 0 8d
Check that the disk partition on the managed cluster is correct:
Open a debug shell to the managed cluster:
$ oc debug node/sno-1.example.com
Run
lsblkto check the host disk partitions:sh-4.4# lsblk NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT sda 8:0 0 446.6G 0 disk |-sda1 8:1 0 1M 0 part |-sda2 8:2 0 127M 0 part |-sda3 8:3 0 384M 0 part /boot |-sda4 8:4 0 336.3G 0 part /sysroot `-sda5 8:5 0 100.1G 0 part /var/imageregistry 1 sdb 8:16 0 446.6G 0 disk sr0 11:0 1 104M 0 rom- 1
/var/imageregistryindicates that the disk is correctly partitioned.
Additional resources
17.9.11. Using hub templates in PolicyGenTemplate CRs
Topology Aware Lifecycle Manager supports partial Red Hat Advanced Cluster Management (RHACM) hub cluster template functions in configuration policies used with GitOps Zero Touch Provisioning (ZTP).
Hub-side cluster templates allow you to define configuration policies that can be dynamically customized to the target clusters. This reduces the need to create separate policies for many clusters with similiar configurations but with different values.
Policy templates are restricted to the same namespace as the namespace where the policy is defined. This means that you must create the objects referenced in the hub template in the same namespace where the policy is created.
The following supported hub template functions are available for use in GitOps ZTP with TALM:
fromConfigmapreturns the value of the provided data key in the namedConfigMapresource.NoteThere is a 1 MiB size limit for
ConfigMapCRs. The effective size forConfigMapCRs is further limited by thelast-applied-configurationannotation. To avoid thelast-applied-configurationlimitation, add the following annotation to the templateConfigMap:argocd.argoproj.io/sync-options: Replace=true
-
base64encreturns the base64-encoded value of the input string -
base64decreturns the decoded value of the base64-encoded input string -
indentreturns the input string with added indent spaces -
autoindentreturns the input string with added indent spaces based on the spacing used in the parent template -
toIntcasts and returns the integer value of the input value -
toBoolconverts the input string into a boolean value, and returns the boolean
Various Open source community functions are also available for use with GitOps ZTP.
Additional resources
17.9.11.1. Example hub templates
The following code examples are valid hub templates. Each of these templates return values from the ConfigMap CR with the name test-config in the default namespace.
Returns the value with the key
common-key:{{hub fromConfigMap "default" "test-config" "common-key" hub}}Returns a string by using the concatenated value of the
.ManagedClusterNamefield and the string-name:{{hub fromConfigMap "default" "test-config" (printf "%s-name" .ManagedClusterName) hub}}Casts and returns a boolean value from the concatenated value of the
.ManagedClusterNamefield and the string-name:{{hub fromConfigMap "default" "test-config" (printf "%s-name" .ManagedClusterName) | toBool hub}}Casts and returns an integer value from the concatenated value of the
.ManagedClusterNamefield and the string-name:{{hub (printf "%s-name" .ManagedClusterName) | fromConfigMap "default" "test-config" | toInt hub}}
17.9.11.2. Specifying host NICs in site PolicyGenTemplate CRs with hub cluster templates
You can manage host NICs in a single ConfigMap CR and use hub cluster templates to populate the custom NIC values in the generated polices that get applied to the cluster hosts. Using hub cluster templates in site PolicyGenTemplate (PGT) CRs means that you do not need to create multiple single site PGT CRs for each site.
The following example shows you how to use a single ConfigMap CR to manage cluster host NICs and apply them to the cluster as polices by using a single PolicyGenTemplate site CR.
When you use the fromConfigmap function, the printf variable is only available for the template resource data key fields. You cannot use it with name and namespace fields.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. - You have created a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and be defined as a source repository for the GitOps ZTP ArgoCD application.
Procedure
Create a
ConfigMapresource that describes the NICs for a group of hosts. For example:apiVersion: v1 kind: ConfigMap metadata: name: sriovdata namespace: ztp-site annotations: argocd.argoproj.io/sync-options: Replace=true 1 data: example-sno-du_fh-numVfs: "8" example-sno-du_fh-pf: ens1f0 example-sno-du_fh-priority: "10" example-sno-du_fh-vlan: "140" example-sno-du_mh-numVfs: "8" example-sno-du_mh-pf: ens3f0 example-sno-du_mh-priority: "10" example-sno-du_mh-vlan: "150"- 1
- The
argocd.argoproj.io/sync-optionsannotation is required only if theConfigMapis larger than 1 MiB in size.
NoteThe
ConfigMapmust be in the same namespace with the policy that has the hub template substitution.-
Commit the
ConfigMapCR in Git, and then push to the Git repository being monitored by the Argo CD application. Create a site PGT CR that uses templates to pull the required data from the
ConfigMapobject. For example:apiVersion: ran.openshift.io/v1 kind: PolicyGenTemplate metadata: name: "site" namespace: "ztp-site" spec: remediationAction: inform bindingRules: group-du-sno: "" mcp: "master" sourceFiles: - fileName: SriovNetwork.yaml policyName: "config-policy" metadata: name: "sriov-nw-du-fh" spec: resourceName: du_fh vlan: '{{hub fromConfigMap "ztp-site" "sriovdata" (printf "%s-du_fh-vlan" .ManagedClusterName) | toInt hub}}' - fileName: SriovNetworkNodePolicy.yaml policyName: "config-policy" metadata: name: "sriov-nnp-du-fh" spec: deviceType: netdevice isRdma: true nicSelector: pfNames: - '{{hub fromConfigMap "ztp-site" "sriovdata" (printf "%s-du_fh-pf" .ManagedClusterName) | autoindent hub}}' numVfs: '{{hub fromConfigMap "ztp-site" "sriovdata" (printf "%s-du_fh-numVfs" .ManagedClusterName) | toInt hub}}' priority: '{{hub fromConfigMap "ztp-site" "sriovdata" (printf "%s-du_fh-priority" .ManagedClusterName) | toInt hub}}' resourceName: du_fh - fileName: SriovNetwork.yaml policyName: "config-policy" metadata: name: "sriov-nw-du-mh" spec: resourceName: du_mh vlan: '{{hub fromConfigMap "ztp-site" "sriovdata" (printf "%s-du_mh-vlan" .ManagedClusterName) | toInt hub}}' - fileName: SriovNetworkNodePolicy.yaml policyName: "config-policy" metadata: name: "sriov-nnp-du-mh" spec: deviceType: vfio-pci isRdma: false nicSelector: pfNames: - '{{hub fromConfigMap "ztp-site" "sriovdata" (printf "%s-du_mh-pf" .ManagedClusterName) hub}}' numVfs: '{{hub fromConfigMap "ztp-site" "sriovdata" (printf "%s-du_mh-numVfs" .ManagedClusterName) | toInt hub}}' priority: '{{hub fromConfigMap "ztp-site" "sriovdata" (printf "%s-du_mh-priority" .ManagedClusterName) | toInt hub}}' resourceName: du_mhCommit the site
PolicyGenTemplateCR in Git and push to the Git repository that is monitored by the ArgoCD application.NoteSubsequent changes to the referenced
ConfigMapCR are not automatically synced to the applied policies. You need to manually sync the newConfigMapchanges to update existing PolicyGenTemplate CRs. See "Syncing new ConfigMap changes to existing PolicyGenTemplate CRs".
17.9.11.3. Specifying VLAN IDs in group PolicyGenTemplate CRs with hub cluster templates
You can manage VLAN IDs for managed clusters in a single ConfigMap CR and use hub cluster templates to populate the VLAN IDs in the generated polices that get applied to the clusters.
The following example shows how you how manage VLAN IDs in single ConfigMap CR and apply them in individual cluster polices by using a single PolicyGenTemplate group CR.
When using the fromConfigmap function, the printf variable is only available for the template resource data key fields. You cannot use it with name and namespace fields.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. - You have created a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and be defined as a source repository for the Argo CD application.
Procedure
Create a
ConfigMapCR that describes the VLAN IDs for a group of cluster hosts. For example:apiVersion: v1 kind: ConfigMap metadata: name: site-data namespace: ztp-group annotations: argocd.argoproj.io/sync-options: Replace=true 1 data: site-1-vlan: "101" site-2-vlan: "234"- 1
- The
argocd.argoproj.io/sync-optionsannotation is required only if theConfigMapis larger than 1 MiB in size.
NoteThe
ConfigMapmust be in the same namespace with the policy that has the hub template substitution.-
Commit the
ConfigMapCR in Git, and then push to the Git repository being monitored by the Argo CD application. Create a group PGT CR that uses a hub template to pull the required VLAN IDs from the
ConfigMapobject. For example, add the following YAML snippet to the group PGT CR:- fileName: SriovNetwork.yaml policyName: "config-policy" metadata: name: "sriov-nw-du-mh" annotations: ran.openshift.io/ztp-deploy-wave: "10" spec: resourceName: du_mh vlan: '{{hub fromConfigMap "" "site-data" (printf "%s-vlan" .ManagedClusterName) | toInt hub}}'Commit the group
PolicyGenTemplateCR in Git, and then push to the Git repository being monitored by the Argo CD application.NoteSubsequent changes to the referenced
ConfigMapCR are not automatically synced to the applied policies. You need to manually sync the newConfigMapchanges to update existing PolicyGenTemplate CRs. See "Syncing new ConfigMap changes to existing PolicyGenTemplate CRs".
17.9.11.4. Syncing new ConfigMap changes to existing PolicyGenTemplate CRs
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. -
You have created a
PolicyGenTemplateCR that pulls information from aConfigMapCR using hub cluster templates.
Procedure
-
Update the contents of your
ConfigMapCR, and apply the changes in the hub cluster. To sync the contents of the updated
ConfigMapCR to the deployed policy, do either of the following:Option 1: Delete the existing policy. ArgoCD uses the
PolicyGenTemplateCR to immediately recreate the deleted policy. For example, run the following command:$ oc delete policy <policy_name> -n <policy_namespace>
Option 2: Apply a special annotation
policy.open-cluster-management.io/trigger-updateto the policy with a different value every time when you update theConfigMap. For example:$ oc annotate policy <policy_name> -n <policy_namespace> policy.open-cluster-management.io/trigger-update="1"
NoteYou must apply the updated policy for the changes to take effect. For more information, see Special annotation for reprocessing.
Optional: If it exists, delete the
ClusterGroupUpdateCR that contains the policy. For example:$ oc delete clustergroupupgrade <cgu_name> -n <cgu_namespace>
Create a new
ClusterGroupUpdateCR that includes the policy to apply with the updatedConfigMapchanges. For example, add the following YAML to the filecgr-example.yaml:apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: <cgr_name> namespace: <policy_namespace> spec: managedPolicies: - <managed_policy> enable: true clusters: - <managed_cluster_1> - <managed_cluster_2> remediationStrategy: maxConcurrency: 2 timeout: 240Apply the updated policy:
$ oc apply -f cgr-example.yaml
17.10. Updating managed clusters with the Topology Aware Lifecycle Manager
You can use the Topology Aware Lifecycle Manager (TALM) to manage the software lifecycle of OpenShift Container Platform managed clusters. TALM uses Red Hat Advanced Cluster Management (RHACM) policies to perform changes on the target clusters.
Additional resources
- For more information about the Topology Aware Lifecycle Manager, see About the Topology Aware Lifecycle Manager.
17.10.1. Updating clusters in a disconnected environment
You can upgrade managed clusters and Operators for managed clusters that you have deployed using GitOps Zero Touch Provisioning (ZTP) and Topology Aware Lifecycle Manager (TALM).
17.10.1.1. Setting up the environment
TALM can perform both platform and Operator updates.
You must mirror both the platform image and Operator images that you want to update to in your mirror registry before you can use TALM to update your disconnected clusters. Complete the following steps to mirror the images:
For platform updates, you must perform the following steps:
Mirror the desired OpenShift Container Platform image repository. Ensure that the desired platform image is mirrored by following the "Mirroring the OpenShift Container Platform image repository" procedure linked in the Additional Resources. Save the contents of the
imageContentSourcessection in theimageContentSources.yamlfile:Example output
imageContentSources: - mirrors: - mirror-ocp-registry.ibmcloud.io.cpak:5000/openshift-release-dev/openshift4 source: quay.io/openshift-release-dev/ocp-release - mirrors: - mirror-ocp-registry.ibmcloud.io.cpak:5000/openshift-release-dev/openshift4 source: quay.io/openshift-release-dev/ocp-v4.0-art-dev
Save the image signature of the desired platform image that was mirrored. You must add the image signature to the
PolicyGenTemplateCR for platform updates. To get the image signature, perform the following steps:Specify the desired OpenShift Container Platform tag by running the following command:
$ OCP_RELEASE_NUMBER=<release_version>
Specify the architecture of the cluster by running the following command:
$ ARCHITECTURE=<cluster_architecture> 1- 1
- Specify the architecture of the cluster, such as
x86_64,aarch64,s390x, orppc64le.
Get the release image digest from Quay by running the following command
$ DIGEST="$(oc adm release info quay.io/openshift-release-dev/ocp-release:${OCP_RELEASE_NUMBER}-${ARCHITECTURE} | sed -n 's/Pull From: .*@//p')"Set the digest algorithm by running the following command:
$ DIGEST_ALGO="${DIGEST%%:*}"Set the digest signature by running the following command:
$ DIGEST_ENCODED="${DIGEST#*:}"Get the image signature from the mirror.openshift.com website by running the following command:
$ SIGNATURE_BASE64=$(curl -s "https://mirror.openshift.com/pub/openshift-v4/signatures/openshift/release/${DIGEST_ALGO}=${DIGEST_ENCODED}/signature-1" | base64 -w0 && echo)Save the image signature to the
checksum-<OCP_RELEASE_NUMBER>.yamlfile by running the following commands:$ cat >checksum-${OCP_RELEASE_NUMBER}.yaml <<EOF ${DIGEST_ALGO}-${DIGEST_ENCODED}: ${SIGNATURE_BASE64} EOF
Prepare the update graph. You have two options to prepare the update graph:
Use the OpenShift Update Service.
For more information about how to set up the graph on the hub cluster, see Deploy the operator for OpenShift Update Service and Build the graph data init container.
Make a local copy of the upstream graph. Host the update graph on an
httporhttpsserver in the disconnected environment that has access to the managed cluster. To download the update graph, use the following command:$ curl -s https://api.openshift.com/api/upgrades_info/v1/graph?channel=stable-4.13 -o ~/upgrade-graph_stable-4.13
For Operator updates, you must perform the following task:
- Mirror the Operator catalogs. Ensure that the desired operator images are mirrored by following the procedure in the "Mirroring Operator catalogs for use with disconnected clusters" section.
Additional resources
- For more information about how to update GitOps Zero Touch Provisioning (ZTP), see Upgrading GitOps ZTP.
- For more information about how to mirror an OpenShift Container Platform image repository, see Mirroring the OpenShift Container Platform image repository.
- For more information about how to mirror Operator catalogs for disconnected clusters, see Mirroring Operator catalogs for use with disconnected clusters.
- For more information about how to prepare the disconnected environment and mirroring the desired image repository, see Preparing the disconnected environment.
- For more information about update channels and releases, see Understanding update channels and releases.
17.10.1.2. Performing a platform update
You can perform a platform update with the TALM.
Prerequisites
- Install the Topology Aware Lifecycle Manager (TALM).
- Update GitOps Zero Touch Provisioning (ZTP) to the latest version.
- Provision one or more managed clusters with GitOps ZTP.
- Mirror the desired image repository.
-
Log in as a user with
cluster-adminprivileges. - Create RHACM policies in the hub cluster.
Procedure
Create a
PolicyGenTemplateCR for the platform update:Save the following contents of the
PolicyGenTemplateCR in thedu-upgrade.yamlfile.Example of
PolicyGenTemplatefor platform updateapiVersion: ran.openshift.io/v1 kind: PolicyGenTemplate metadata: name: "du-upgrade" namespace: "ztp-group-du-sno" spec: bindingRules: group-du-sno: "" mcp: "master" remediationAction: inform sourceFiles: - fileName: ImageSignature.yaml 1 policyName: "platform-upgrade-prep" binaryData: ${DIGEST_ALGO}-${DIGEST_ENCODED}: ${SIGNATURE_BASE64} 2 - fileName: DisconnectedICSP.yaml policyName: "platform-upgrade-prep" metadata: name: disconnected-internal-icsp-for-ocp spec: repositoryDigestMirrors: 3 - mirrors: - quay-intern.example.com/ocp4/openshift-release-dev source: quay.io/openshift-release-dev/ocp-release - mirrors: - quay-intern.example.com/ocp4/openshift-release-dev source: quay.io/openshift-release-dev/ocp-v4.0-art-dev - fileName: ClusterVersion.yaml 4 policyName: "platform-upgrade-prep" metadata: name: version annotations: ran.openshift.io/ztp-deploy-wave: "1" spec: channel: "stable-4.13" upstream: http://upgrade.example.com/images/upgrade-graph_stable-4.13 - fileName: ClusterVersion.yaml 5 policyName: "platform-upgrade" metadata: name: version spec: channel: "stable-4.13" upstream: http://upgrade.example.com/images/upgrade-graph_stable-4.13 desiredUpdate: version: 4.13.4 status: history: - version: 4.13.4 state: "Completed"- 1
- The
ConfigMapCR contains the signature of the desired release image to update to. - 2
- Shows the image signature of the desired OpenShift Container Platform release. Get the signature from the
checksum-${OCP_RELASE_NUMBER}.yamlfile you saved when following the procedures in the "Setting up the environment" section. - 3
- Shows the mirror repository that contains the desired OpenShift Container Platform image. Get the mirrors from the
imageContentSources.yamlfile that you saved when following the procedures in the "Setting up the environment" section. - 4
- Shows the
ClusterVersionCR to update upstream. - 5
- Shows the
ClusterVersionCR to trigger the update. Thechannel,upstream, anddesiredVersionfields are all required for image pre-caching.
The
PolicyGenTemplateCR generates two policies:-
The
du-upgrade-platform-upgrade-preppolicy does the preparation work for the platform update. It creates theConfigMapCR for the desired release image signature, creates the image content source of the mirrored release image repository, and updates the cluster version with the desired update channel and the update graph reachable by the managed cluster in the disconnected environment. -
The
du-upgrade-platform-upgradepolicy is used to perform platform upgrade.
Add the
du-upgrade.yamlfile contents to thekustomization.yamlfile located in the GitOps ZTP Git repository for thePolicyGenTemplateCRs and push the changes to the Git repository.ArgoCD pulls the changes from the Git repository and generates the policies on the hub cluster.
Check the created policies by running the following command:
$ oc get policies -A | grep platform-upgrade
Apply the required update resources before starting the platform update with the TALM.
Save the content of the
platform-upgrade-prepClusterUpgradeGroupCR with thedu-upgrade-platform-upgrade-preppolicy and the target managed clusters to thecgu-platform-upgrade-prep.ymlfile, as shown in the following example:apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-platform-upgrade-prep namespace: default spec: managedPolicies: - du-upgrade-platform-upgrade-prep clusters: - spoke1 remediationStrategy: maxConcurrency: 1 enable: trueApply the policy to the hub cluster by running the following command:
$ oc apply -f cgu-platform-upgrade-prep.yml
Monitor the update process. Upon completion, ensure that the policy is compliant by running the following command:
$ oc get policies --all-namespaces
Create the
ClusterGroupUpdateCR for the platform update with thespec.enablefield set tofalse.Save the content of the platform update
ClusterGroupUpdateCR with thedu-upgrade-platform-upgradepolicy and the target clusters to thecgu-platform-upgrade.ymlfile, as shown in the following example:apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-platform-upgrade namespace: default spec: managedPolicies: - du-upgrade-platform-upgrade preCaching: false clusters: - spoke1 remediationStrategy: maxConcurrency: 1 enable: falseApply the
ClusterGroupUpdateCR to the hub cluster by running the following command:$ oc apply -f cgu-platform-upgrade.yml
Optional: Pre-cache the images for the platform update.
Enable pre-caching in the
ClusterGroupUpdateCR by running the following command:$ oc --namespace=default patch clustergroupupgrade.ran.openshift.io/cgu-platform-upgrade \ --patch '{"spec":{"preCaching": true}}' --type=mergeMonitor the update process and wait for the pre-caching to complete. Check the status of pre-caching by running the following command on the hub cluster:
$ oc get cgu cgu-platform-upgrade -o jsonpath='{.status.precaching.status}'
Start the platform update:
Enable the
cgu-platform-upgradepolicy and disable pre-caching by running the following command:$ oc --namespace=default patch clustergroupupgrade.ran.openshift.io/cgu-platform-upgrade \ --patch '{"spec":{"enable":true, "preCaching": false}}' --type=mergeMonitor the process. Upon completion, ensure that the policy is compliant by running the following command:
$ oc get policies --all-namespaces
Additional resources
- For more information about mirroring the images in a disconnected environment, see Preparing the disconnected environment.
17.10.1.3. Performing an Operator update
You can perform an Operator update with the TALM.
Prerequisites
- Install the Topology Aware Lifecycle Manager (TALM).
- Update GitOps Zero Touch Provisioning (ZTP) to the latest version.
- Provision one or more managed clusters with GitOps ZTP.
- Mirror the desired index image, bundle images, and all Operator images referenced in the bundle images.
-
Log in as a user with
cluster-adminprivileges. - Create RHACM policies in the hub cluster.
Procedure
Update the
PolicyGenTemplateCR for the Operator update.Update the
du-upgradePolicyGenTemplateCR with the following additional contents in thedu-upgrade.yamlfile:apiVersion: ran.openshift.io/v1 kind: PolicyGenTemplate metadata: name: "du-upgrade" namespace: "ztp-group-du-sno" spec: bindingRules: group-du-sno: "" mcp: "master" remediationAction: inform sourceFiles: - fileName: DefaultCatsrc.yaml remediationAction: inform policyName: "operator-catsrc-policy" metadata: name: redhat-operators spec: displayName: Red Hat Operators Catalog image: registry.example.com:5000/olm/redhat-operators:v4.13 1 updateStrategy: 2 registryPoll: interval: 1h- 1
- The index image URL contains the desired Operator images. If the index images are always pushed to the same image name and tag, this change is not needed.
- 2
- Set how frequently the Operator Lifecycle Manager (OLM) polls the index image for new Operator versions with the
registryPoll.intervalfield. This change is not needed if a new index image tag is always pushed for y-stream and z-stream Operator updates. TheregistryPoll.intervalfield can be set to a shorter interval to expedite the update, however shorter intervals increase computational load. To counteract this, you can restoreregistryPoll.intervalto the default value once the update is complete.
This update generates one policy,
du-upgrade-operator-catsrc-policy, to update theredhat-operatorscatalog source with the new index images that contain the desired Operators images.NoteIf you want to use the image pre-caching for Operators and there are Operators from a different catalog source other than
redhat-operators, you must perform the following tasks:- Prepare a separate catalog source policy with the new index image or registry poll interval update for the different catalog source.
- Prepare a separate subscription policy for the desired Operators that are from the different catalog source.
For example, the desired SRIOV-FEC Operator is available in the
certified-operatorscatalog source. To update the catalog source and the Operator subscription, add the following contents to generate two policies,du-upgrade-fec-catsrc-policyanddu-upgrade-subscriptions-fec-policy:apiVersion: ran.openshift.io/v1 kind: PolicyGenTemplate metadata: name: "du-upgrade" namespace: "ztp-group-du-sno" spec: bindingRules: group-du-sno: "" mcp: "master" remediationAction: inform sourceFiles: … - fileName: DefaultCatsrc.yaml remediationAction: inform policyName: "fec-catsrc-policy" metadata: name: certified-operators spec: displayName: Intel SRIOV-FEC Operator image: registry.example.com:5000/olm/far-edge-sriov-fec:v4.10 updateStrategy: registryPoll: interval: 10m - fileName: AcceleratorsSubscription.yaml policyName: "subscriptions-fec-policy" spec: channel: "stable" source: certified-operatorsRemove the specified subscriptions channels in the common
PolicyGenTemplateCR, if they exist. The default subscriptions channels from the GitOps ZTP image are used for the update.NoteThe default channel for the Operators applied through GitOps ZTP 4.13 is
stable, except for theperformance-addon-operator. As of OpenShift Container Platform 4.11, theperformance-addon-operatorfunctionality was moved to thenode-tuning-operator. For the 4.10 release, the default channel for PAO isv4.10. You can also specify the default channels in the commonPolicyGenTemplateCR.Push the
PolicyGenTemplateCRs updates to the GitOps ZTP Git repository.ArgoCD pulls the changes from the Git repository and generates the policies on the hub cluster.
Check the created policies by running the following command:
$ oc get policies -A | grep -E "catsrc-policy|subscription"
Apply the required catalog source updates before starting the Operator update.
Save the content of the
ClusterGroupUpgradeCR namedoperator-upgrade-prepwith the catalog source policies and the target managed clusters to thecgu-operator-upgrade-prep.ymlfile:apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-operator-upgrade-prep namespace: default spec: clusters: - spoke1 enable: true managedPolicies: - du-upgrade-operator-catsrc-policy remediationStrategy: maxConcurrency: 1Apply the policy to the hub cluster by running the following command:
$ oc apply -f cgu-operator-upgrade-prep.yml
Monitor the update process. Upon completion, ensure that the policy is compliant by running the following command:
$ oc get policies -A | grep -E "catsrc-policy"
Create the
ClusterGroupUpgradeCR for the Operator update with thespec.enablefield set tofalse.Save the content of the Operator update
ClusterGroupUpgradeCR with thedu-upgrade-operator-catsrc-policypolicy and the subscription policies created from the commonPolicyGenTemplateand the target clusters to thecgu-operator-upgrade.ymlfile, as shown in the following example:apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-operator-upgrade namespace: default spec: managedPolicies: - du-upgrade-operator-catsrc-policy 1 - common-subscriptions-policy 2 preCaching: false clusters: - spoke1 remediationStrategy: maxConcurrency: 1 enable: false
- 1
- The policy is needed by the image pre-caching feature to retrieve the operator images from the catalog source.
- 2
- The policy contains Operator subscriptions. If you have followed the structure and content of the reference
PolicyGenTemplates, all Operator subscriptions are grouped into thecommon-subscriptions-policypolicy.
NoteOne
ClusterGroupUpgradeCR can only pre-cache the images of the desired Operators defined in the subscription policy from one catalog source included in theClusterGroupUpgradeCR. If the desired Operators are from different catalog sources, such as in the example of the SRIOV-FEC Operator, anotherClusterGroupUpgradeCR must be created withdu-upgrade-fec-catsrc-policyanddu-upgrade-subscriptions-fec-policypolicies for the SRIOV-FEC Operator images pre-caching and update.Apply the
ClusterGroupUpgradeCR to the hub cluster by running the following command:$ oc apply -f cgu-operator-upgrade.yml
Optional: Pre-cache the images for the Operator update.
Before starting image pre-caching, verify the subscription policy is
NonCompliantat this point by running the following command:$ oc get policy common-subscriptions-policy -n <policy_namespace>
Example output
NAME REMEDIATION ACTION COMPLIANCE STATE AGE common-subscriptions-policy inform NonCompliant 27d
Enable pre-caching in the
ClusterGroupUpgradeCR by running the following command:$ oc --namespace=default patch clustergroupupgrade.ran.openshift.io/cgu-operator-upgrade \ --patch '{"spec":{"preCaching": true}}' --type=mergeMonitor the process and wait for the pre-caching to complete. Check the status of pre-caching by running the following command on the managed cluster:
$ oc get cgu cgu-operator-upgrade -o jsonpath='{.status.precaching.status}'Check if the pre-caching is completed before starting the update by running the following command:
$ oc get cgu -n default cgu-operator-upgrade -ojsonpath='{.status.conditions}' | jqExample output
[ { "lastTransitionTime": "2022-03-08T20:49:08.000Z", "message": "The ClusterGroupUpgrade CR is not enabled", "reason": "UpgradeNotStarted", "status": "False", "type": "Ready" }, { "lastTransitionTime": "2022-03-08T20:55:30.000Z", "message": "Precaching is completed", "reason": "PrecachingCompleted", "status": "True", "type": "PrecachingDone" } ]
Start the Operator update.
Enable the
cgu-operator-upgradeClusterGroupUpgradeCR and disable pre-caching to start the Operator update by running the following command:$ oc --namespace=default patch clustergroupupgrade.ran.openshift.io/cgu-operator-upgrade \ --patch '{"spec":{"enable":true, "preCaching": false}}' --type=mergeMonitor the process. Upon completion, ensure that the policy is compliant by running the following command:
$ oc get policies --all-namespaces
Additional resources
- For more information about updating GitOps ZTP, see Upgrading GitOps ZTP.
17.10.1.4. Performing a platform and an Operator update together
You can perform a platform and an Operator update at the same time.
Prerequisites
- Install the Topology Aware Lifecycle Manager (TALM).
- Update GitOps Zero Touch Provisioning (ZTP) to the latest version.
- Provision one or more managed clusters with GitOps ZTP.
-
Log in as a user with
cluster-adminprivileges. - Create RHACM policies in the hub cluster.
Procedure
-
Create the
PolicyGenTemplateCR for the updates by following the steps described in the "Performing a platform update" and "Performing an Operator update" sections. Apply the prep work for the platform and the Operator update.
Save the content of the
ClusterGroupUpgradeCR with the policies for platform update preparation work, catalog source updates, and target clusters to thecgu-platform-operator-upgrade-prep.ymlfile, for example:apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-platform-operator-upgrade-prep namespace: default spec: managedPolicies: - du-upgrade-platform-upgrade-prep - du-upgrade-operator-catsrc-policy clusterSelector: - group-du-sno remediationStrategy: maxConcurrency: 10 enable: trueApply the
cgu-platform-operator-upgrade-prep.ymlfile to the hub cluster by running the following command:$ oc apply -f cgu-platform-operator-upgrade-prep.yml
Monitor the process. Upon completion, ensure that the policy is compliant by running the following command:
$ oc get policies --all-namespaces
Create the
ClusterGroupUpdateCR for the platform and the Operator update with thespec.enablefield set tofalse.Save the contents of the platform and Operator update
ClusterGroupUpdateCR with the policies and the target clusters to thecgu-platform-operator-upgrade.ymlfile, as shown in the following example:apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-du-upgrade namespace: default spec: managedPolicies: - du-upgrade-platform-upgrade 1 - du-upgrade-operator-catsrc-policy 2 - common-subscriptions-policy 3 preCaching: true clusterSelector: - group-du-sno remediationStrategy: maxConcurrency: 1 enable: false
Apply the
cgu-platform-operator-upgrade.ymlfile to the hub cluster by running the following command:$ oc apply -f cgu-platform-operator-upgrade.yml
Optional: Pre-cache the images for the platform and the Operator update.
Enable pre-caching in the
ClusterGroupUpgradeCR by running the following command:$ oc --namespace=default patch clustergroupupgrade.ran.openshift.io/cgu-du-upgrade \ --patch '{"spec":{"preCaching": true}}' --type=mergeMonitor the update process and wait for the pre-caching to complete. Check the status of pre-caching by running the following command on the managed cluster:
$ oc get jobs,pods -n openshift-talm-pre-cache
Check if the pre-caching is completed before starting the update by running the following command:
$ oc get cgu cgu-du-upgrade -ojsonpath='{.status.conditions}'
Start the platform and Operator update.
Enable the
cgu-du-upgradeClusterGroupUpgradeCR to start the platform and the Operator update by running the following command:$ oc --namespace=default patch clustergroupupgrade.ran.openshift.io/cgu-du-upgrade \ --patch '{"spec":{"enable":true, "preCaching": false}}' --type=mergeMonitor the process. Upon completion, ensure that the policy is compliant by running the following command:
$ oc get policies --all-namespaces
NoteThe CRs for the platform and Operator updates can be created from the beginning by configuring the setting to
spec.enable: true. In this case, the update starts immediately after pre-caching completes and there is no need to manually enable the CR.Both pre-caching and the update create extra resources, such as policies, placement bindings, placement rules, managed cluster actions, and managed cluster view, to help complete the procedures. Setting the
afterCompletion.deleteObjectsfield totruedeletes all these resources after the updates complete.
17.10.1.5. Removing Performance Addon Operator subscriptions from deployed clusters
In earlier versions of OpenShift Container Platform, the Performance Addon Operator provided automatic, low latency performance tuning for applications. In OpenShift Container Platform 4.11 or later, these functions are part of the Node Tuning Operator.
Do not install the Performance Addon Operator on clusters running OpenShift Container Platform 4.11 or later. If you upgrade to OpenShift Container Platform 4.11 or later, the Node Tuning Operator automatically removes the Performance Addon Operator.
You need to remove any policies that create Performance Addon Operator subscriptions to prevent a re-installation of the Operator.
The reference DU profile includes the Performance Addon Operator in the PolicyGenTemplate CR common-ranGen.yaml. To remove the subscription from deployed managed clusters, you must update common-ranGen.yaml.
If you install Performance Addon Operator 4.10.3-5 or later on OpenShift Container Platform 4.11 or later, the Performance Addon Operator detects the cluster version and automatically hibernates to avoid interfering with the Node Tuning Operator functions. However, to ensure best performance, remove the Performance Addon Operator from your OpenShift Container Platform 4.11 clusters.
Prerequisites
- Create a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and be defined as a source repository for ArgoCD.
- Update to OpenShift Container Platform 4.11 or later.
-
Log in as a user with
cluster-adminprivileges.
Procedure
Change the
complianceTypetomustnothavefor the Performance Addon Operator namespace, Operator group, and subscription in thecommon-ranGen.yamlfile.- fileName: PaoSubscriptionNS.yaml policyName: "subscriptions-policy" complianceType: mustnothave - fileName: PaoSubscriptionOperGroup.yaml policyName: "subscriptions-policy" complianceType: mustnothave - fileName: PaoSubscription.yaml policyName: "subscriptions-policy" complianceType: mustnothave-
Merge the changes with your custom site repository and wait for the ArgoCD application to synchronize the change to the hub cluster. The status of the
common-subscriptions-policypolicy changes toNon-Compliant. - Apply the change to your target clusters by using the Topology Aware Lifecycle Manager. For more information about rolling out configuration changes, see the "Additional resources" section.
Monitor the process. When the status of the
common-subscriptions-policypolicy for a target cluster isCompliant, the Performance Addon Operator has been removed from the cluster. Get the status of thecommon-subscriptions-policyby running the following command:$ oc get policy -n ztp-common common-subscriptions-policy
-
Delete the Performance Addon Operator namespace, Operator group and subscription CRs from
.spec.sourceFilesin thecommon-ranGen.yamlfile. - Merge the changes with your custom site repository and wait for the ArgoCD application to synchronize the change to the hub cluster. The policy remains compliant.
17.10.2. About the auto-created ClusterGroupUpgrade CR for GitOps ZTP
TALM has a controller called ManagedClusterForCGU that monitors the Ready state of the ManagedCluster CRs on the hub cluster and creates the ClusterGroupUpgrade CRs for GitOps Zero Touch Provisioning (ZTP).
For any managed cluster in the Ready state without a ztp-done label applied, the ManagedClusterForCGU controller automatically creates a ClusterGroupUpgrade CR in the ztp-install namespace with its associated RHACM policies that are created during the GitOps ZTP process. TALM then remediates the set of configuration policies that are listed in the auto-created ClusterGroupUpgrade CR to push the configuration CRs to the managed cluster.
If there are no policies for the managed cluster at the time when the cluster becomes Ready, a ClusterGroupUpgrade CR with no policies is created. Upon completion of the ClusterGroupUpgrade the managed cluster is labeled as ztp-done. If there are policies that you want to apply for that managed cluster, manually create a ClusterGroupUpgrade as a day-2 operation.
Example of an auto-created ClusterGroupUpgrade CR for GitOps ZTP
apiVersion: ran.openshift.io/v1alpha1
kind: ClusterGroupUpgrade
metadata:
generation: 1
name: spoke1
namespace: ztp-install
ownerReferences:
- apiVersion: cluster.open-cluster-management.io/v1
blockOwnerDeletion: true
controller: true
kind: ManagedCluster
name: spoke1
uid: 98fdb9b2-51ee-4ee7-8f57-a84f7f35b9d5
resourceVersion: "46666836"
uid: b8be9cd2-764f-4a62-87d6-6b767852c7da
spec:
actions:
afterCompletion:
addClusterLabels:
ztp-done: "" 1
deleteClusterLabels:
ztp-running: ""
deleteObjects: true
beforeEnable:
addClusterLabels:
ztp-running: "" 2
clusters:
- spoke1
enable: true
managedPolicies:
- common-spoke1-config-policy
- common-spoke1-subscriptions-policy
- group-spoke1-config-policy
- spoke1-config-policy
- group-spoke1-validator-du-policy
preCaching: false
remediationStrategy:
maxConcurrency: 1
timeout: 240
17.11. Updating GitOps ZTP
You can update the GitOps Zero Touch Provisioning (ZTP) infrastructure independently from the hub cluster, Red Hat Advanced Cluster Management (RHACM), and the managed OpenShift Container Platform clusters.
You can update the Red Hat OpenShift GitOps Operator when new versions become available. When updating the GitOps ZTP plugin, review the updated files in the reference configuration and ensure that the changes meet your requirements.
17.11.1. Overview of the GitOps ZTP update process
You can update GitOps Zero Touch Provisioning (ZTP) for a fully operational hub cluster running an earlier version of the GitOps ZTP infrastructure. The update process avoids impact on managed clusters.
Any changes to policy settings, including adding recommended content, results in updated polices that must be rolled out to the managed clusters and reconciled.
At a high level, the strategy for updating the GitOps ZTP infrastructure is as follows:
-
Label all existing clusters with the
ztp-donelabel. - Stop the ArgoCD applications.
- Install the new GitOps ZTP tools.
- Update required content and optional changes in the Git repository.
- Update and restart the application configuration.
17.11.2. Preparing for the upgrade
Use the following procedure to prepare your site for the GitOps Zero Touch Provisioning (ZTP) upgrade.
Procedure
- Get the latest version of the GitOps ZTP container that has the custom resources (CRs) used to configure Red Hat OpenShift GitOps for use with GitOps ZTP.
Extract the
argocd/deploymentdirectory by using the following commands:$ mkdir -p ./update
$ podman run --log-driver=none --rm registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.13 extract /home/ztp --tar | tar x -C ./update
The
/updatedirectory contains the following subdirectories:-
update/extra-manifest: contains the source CR files that theSiteConfigCR uses to generate the extra manifestconfigMap. -
update/source-crs: contains the source CR files that thePolicyGenTemplateCR uses to generate the Red Hat Advanced Cluster Management (RHACM) policies. -
update/argocd/deployment: contains patches and YAML files to apply on the hub cluster for use in the next step of this procedure. -
update/argocd/example: contains exampleSiteConfigandPolicyGenTemplatefiles that represent the recommended configuration.
-
Update the
clusters-app.yamlandpolicies-app.yamlfiles to reflect the name of your applications and the URL, branch, and path for your Git repository.If the upgrade includes changes that results in obsolete policies, the obsolete policies should be removed prior to performing the upgrade.
Diff the changes between the configuration and deployment source CRs in the
/updatefolder and Git repo where you manage your fleet site CRs. Apply and push the required changes to your site repository.ImportantWhen you update GitOps ZTP to the latest version, you must apply the changes from the
update/argocd/deploymentdirectory to your site repository. Do not use older versions of theargocd/deployment/files.
17.11.3. Labeling the existing clusters
To ensure that existing clusters remain untouched by the tool updates, label all existing managed clusters with the ztp-done label.
This procedure only applies when updating clusters that were not provisioned with Topology Aware Lifecycle Manager (TALM). Clusters that you provision with TALM are automatically labeled with ztp-done.
Procedure
Find a label selector that lists the managed clusters that were deployed with GitOps Zero Touch Provisioning (ZTP), such as
local-cluster!=true:$ oc get managedcluster -l 'local-cluster!=true'
Ensure that the resulting list contains all the managed clusters that were deployed with GitOps ZTP, and then use that selector to add the
ztp-donelabel:$ oc label managedcluster -l 'local-cluster!=true' ztp-done=
17.11.4. Stopping the existing GitOps ZTP applications
Removing the existing applications ensures that any changes to existing content in the Git repository are not rolled out until the new version of the tools is available.
Use the application files from the deployment directory. If you used custom names for the applications, update the names in these files first.
Procedure
Perform a non-cascaded delete on the
clustersapplication to leave all generated resources in place:$ oc delete -f update/argocd/deployment/clusters-app.yaml
Perform a cascaded delete on the
policiesapplication to remove all previous policies:$ oc patch -f policies-app.yaml -p '{"metadata": {"finalizers": ["resources-finalizer.argocd.argoproj.io"]}}' --type merge$ oc delete -f update/argocd/deployment/policies-app.yaml
17.11.5. Required changes to the Git repository
When upgrading the ztp-site-generate container from an earlier release of GitOps Zero Touch Provisioning (ZTP) to 4.10 or later, there are additional requirements for the contents of the Git repository. Existing content in the repository must be updated to reflect these changes.
Make required changes to
PolicyGenTemplatefiles:All
PolicyGenTemplatefiles must be created in aNamespaceprefixed withztp. This ensures that the GitOps ZTP application is able to manage the policy CRs generated by GitOps ZTP without conflicting with the way Red Hat Advanced Cluster Management (RHACM) manages the policies internally.Add the
kustomization.yamlfile to the repository:All
SiteConfigandPolicyGenTemplateCRs must be included in akustomization.yamlfile under their respective directory trees. For example:├── policygentemplates │ ├── site1-ns.yaml │ ├── site1.yaml │ ├── site2-ns.yaml │ ├── site2.yaml │ ├── common-ns.yaml │ ├── common-ranGen.yaml │ ├── group-du-sno-ranGen-ns.yaml │ ├── group-du-sno-ranGen.yaml │ └── kustomization.yaml └── siteconfig ├── site1.yaml ├── site2.yaml └── kustomization.yamlNoteThe files listed in the
generatorsections must contain eitherSiteConfigorPolicyGenTemplateCRs only. If your existing YAML files contain other CRs, for example,Namespace, these other CRs must be pulled out into separate files and listed in theresourcessection.The
PolicyGenTemplatekustomization file must contain allPolicyGenTemplateYAML files in thegeneratorsection andNamespaceCRs in theresourcessection. For example:apiVersion: kustomize.config.k8s.io/v1beta1 kind: Kustomization generators: - common-ranGen.yaml - group-du-sno-ranGen.yaml - site1.yaml - site2.yaml resources: - common-ns.yaml - group-du-sno-ranGen-ns.yaml - site1-ns.yaml - site2-ns.yaml
The
SiteConfigkustomization file must contain allSiteConfigYAML files in thegeneratorsection and any other CRs in the resources:apiVersion: kustomize.config.k8s.io/v1beta1 kind: Kustomization generators: - site1.yaml - site2.yaml
Remove the
pre-sync.yamlandpost-sync.yamlfiles.In OpenShift Container Platform 4.10 and later, the
pre-sync.yamlandpost-sync.yamlfiles are no longer required. Theupdate/deployment/kustomization.yamlCR manages the policies deployment on the hub cluster.NoteThere is a set of
pre-sync.yamlandpost-sync.yamlfiles under both theSiteConfigandPolicyGenTemplatetrees.Review and incorporate recommended changes
Each release may include additional recommended changes to the configuration applied to deployed clusters. Typically these changes result in lower CPU use by the OpenShift platform, additional features, or improved tuning of the platform.
Review the reference
SiteConfigandPolicyGenTemplateCRs applicable to the types of cluster in your network. These examples can be found in theargocd/exampledirectory extracted from the GitOps ZTP container.
17.11.6. Installing the new GitOps ZTP applications
Using the extracted argocd/deployment directory, and after ensuring that the applications point to your site Git repository, apply the full contents of the deployment directory. Applying the full contents of the directory ensures that all necessary resources for the applications are correctly configured.
Procedure
To patch the ArgoCD instance in the hub cluster by using the patch file that you previously extracted into the
update/argocd/deployment/directory, enter the following command:$ oc patch argocd openshift-gitops \ -n openshift-gitops --type=merge \ --patch-file update/argocd/deployment/argocd-openshift-gitops-patch.json
To apply the contents of the
argocd/deploymentdirectory, enter the following command:$ oc apply -k update/argocd/deployment
17.11.7. Rolling out the GitOps ZTP configuration changes
If any configuration changes were included in the upgrade due to implementing recommended changes, the upgrade process results in a set of policy CRs on the hub cluster in the Non-Compliant state. With the GitOps Zero Touch Provisioning (ZTP) version 4.10 and later ztp-site-generate container, these policies are set to inform mode and are not pushed to the managed clusters without an additional step by the user. This ensures that potentially disruptive changes to the clusters can be managed in terms of when the changes are made, for example, during a maintenance window, and how many clusters are updated concurrently.
To roll out the changes, create one or more ClusterGroupUpgrade CRs as detailed in the TALM documentation. The CR must contain the list of Non-Compliant policies that you want to push out to the managed clusters as well as a list or selector of which clusters should be included in the update.
Additional resources
- For information about the Topology Aware Lifecycle Manager (TALM), see About the Topology Aware Lifecycle Manager configuration.
-
For information about creating
ClusterGroupUpgradeCRs, see About the auto-created ClusterGroupUpgrade CR for ZTP.
17.12. Expanding single-node OpenShift clusters with GitOps ZTP
You can expand single-node OpenShift clusters with GitOps Zero Touch Provisioning (ZTP). When you add worker nodes to single-node OpenShift clusters, the original single-node OpenShift cluster retains the control plane node role. Adding worker nodes does not require any downtime for the existing single-node OpenShift cluster.
Although there is no specified limit on the number of worker nodes that you can add to a single-node OpenShift cluster, you must revaluate the reserved CPU allocation on the control plane node for the additional worker nodes.
If you require workload partitioning on the worker node, you must deploy and remediate the managed cluster policies on the hub cluster before installing the node. This way, the workload partitioning MachineConfig objects are rendered and associated with the worker machine config pool before the GitOps ZTP workflow applies the MachineConfig ignition file to the worker node.
It is recommended that you first remediate the policies, and then install the worker node. If you create the workload partitioning manifests after installing the worker node, you must drain the node manually and delete all the pods managed by daemon sets. When the managing daemon sets create the new pods, the new pods undergo the workload partitioning process.
Adding worker nodes to single-node OpenShift clusters with GitOps ZTP is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.
For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope.
Additional resources
- For more information about single-node OpenShift clusters tuned for vDU application deployments, see Reference configuration for deploying vDUs on single-node OpenShift.
- For more information about worker nodes, see Adding worker nodes to single-node OpenShift clusters.
17.12.1. Applying profiles to the worker node
You can configure the additional worker node with a DU profile.
You can apply a RAN distributed unit (DU) profile to the worker node cluster using the GitOps Zero Touch Provisioning (ZTP) common, group, and site-specific PolicyGenTemplate resources. The GitOps ZTP pipeline that is linked to the ArgoCD policies application includes the following CRs that you can find in the out/argocd/example/policygentemplates folder when you extract the ztp-site-generate container:
-
common-ranGen.yaml -
group-du-sno-ranGen.yaml -
example-sno-site.yaml -
ns.yaml -
kustomization.yaml
Configuring the DU profile on the worker node is considered an upgrade. To initiate the upgrade flow, you must update the existing policies or create additional ones. Then, you must create a ClusterGroupUpgrade CR to reconcile the policies in the group of clusters.
17.12.2. (Optional) Ensuring PTP and SR-IOV daemon selector compatibility
If the DU profile was deployed using the GitOps Zero Touch Provisioning (ZTP) plugin version 4.11 or earlier, the PTP and SR-IOV Operators might be configured to place the daemons only on nodes labelled as master. This configuration prevents the PTP and SR-IOV daemons from operating on the worker node. If the PTP and SR-IOV daemon node selectors are incorrectly configured on your system, you must change the daemons before proceeding with the worker DU profile configuration.
Procedure
Check the daemon node selector settings of the PTP Operator on one of the spoke clusters:
$ oc get ptpoperatorconfig/default -n openshift-ptp -ojsonpath='{.spec}' | jqExample output for PTP Operator
{"daemonNodeSelector":{"node-role.kubernetes.io/master":""}} 1- 1
- If the node selector is set to
master, the spoke was deployed with the version of the GitOps ZTP plugin that requires changes.
Check the daemon node selector settings of the SR-IOV Operator on one of the spoke clusters:
$ oc get sriovoperatorconfig/default -n \ openshift-sriov-network-operator -ojsonpath='{.spec}' | jqExample output for SR-IOV Operator
{"configDaemonNodeSelector":{"node-role.kubernetes.io/worker":""},"disableDrain":false,"enableInjector":true,"enableOperatorWebhook":true} 1- 1
- If the node selector is set to
master, the spoke was deployed with the version of the GitOps ZTP plugin that requires changes.
In the group policy, add the following
complianceTypeandspecentries:spec: - fileName: PtpOperatorConfig.yaml policyName: "config-policy" complianceType: mustonlyhave spec: daemonNodeSelector: node-role.kubernetes.io/worker: "" - fileName: SriovOperatorConfig.yaml policyName: "config-policy" complianceType: mustonlyhave spec: configDaemonNodeSelector: node-role.kubernetes.io/worker: ""ImportantChanging the
daemonNodeSelectorfield causes temporary PTP synchronization loss and SR-IOV connectivity loss.- Commit the changes in Git, and then push to the Git repository being monitored by the GitOps ZTP ArgoCD application.
17.12.3. PTP and SR-IOV node selector compatibility
The PTP configuration resources and SR-IOV network node policies use node-role.kubernetes.io/master: "" as the node selector. If the additional worker nodes have the same NIC configuration as the control plane node, the policies used to configure the control plane node can be reused for the worker nodes. However, the node selector must be changed to select both node types, for example with the "node-role.kubernetes.io/worker" label.
17.12.4. Using PolicyGenTemplate CRs to apply worker node policies to worker nodes
You can create policies for worker nodes.
Procedure
Create the following policy template:
apiVersion: ran.openshift.io/v1 kind: PolicyGenTemplate metadata: name: "example-sno-workers" namespace: "example-sno" spec: bindingRules: sites: "example-sno" 1 mcp: "worker" 2 sourceFiles: - fileName: MachineConfigGeneric.yaml 3 policyName: "config-policy" metadata: labels: machineconfiguration.openshift.io/role: worker name: enable-workload-partitioning spec: config: storage: files: - contents: source: data:text/plain;charset=utf-8;base64,W2NyaW8ucnVudGltZS53b3JrbG9hZHMubWFuYWdlbWVudF0KYWN0aXZhdGlvbl9hbm5vdGF0aW9uID0gInRhcmdldC53b3JrbG9hZC5vcGVuc2hpZnQuaW8vbWFuYWdlbWVudCIKYW5ub3RhdGlvbl9wcmVmaXggPSAicmVzb3VyY2VzLndvcmtsb2FkLm9wZW5zaGlmdC5pbyIKcmVzb3VyY2VzID0geyAiY3B1c2hhcmVzIiA9IDAsICJjcHVzZXQiID0gIjAtMyIgfQo= mode: 420 overwrite: true path: /etc/crio/crio.conf.d/01-workload-partitioning user: name: root - contents: source: data:text/plain;charset=utf-8;base64,ewogICJtYW5hZ2VtZW50IjogewogICAgImNwdXNldCI6ICIwLTMiCiAgfQp9Cg== mode: 420 overwrite: true path: /etc/kubernetes/openshift-workload-pinning user: name: root - fileName: PerformanceProfile.yaml policyName: "config-policy" metadata: name: openshift-worker-node-performance-profile spec: cpu: 4 isolated: "4-47" reserved: "0-3" hugepages: defaultHugepagesSize: 1G pages: - size: 1G count: 32 realTimeKernel: enabled: true - fileName: TunedPerformancePatch.yaml policyName: "config-policy" metadata: name: performance-patch-worker spec: profile: - name: performance-patch-worker data: | [main] summary=Configuration changes profile inherited from performance created tuned include=openshift-node-performance-openshift-worker-node-performance-profile [bootloader] cmdline_crash=nohz_full=4-47 5 [sysctl] kernel.timer_migration=1 [scheduler] group.ice-ptp=0:f:10:*:ice-ptp.* [service] service.stalld=start,enable service.chronyd=stop,disable recommend: - profile: performance-patch-worker- 1
- The policies are applied to all clusters with this label.
- 2
- The
MCPfield must be set toworker. - 3
- This generic
MachineConfigCR is used to configure workload partitioning on the worker node. - 4
- The
cpu.isolatedandcpu.reservedfields must be configured for each particular hardware platform. - 5
- The
cmdline_crashCPU set must match thecpu.isolatedset in thePerformanceProfilesection.
A generic
MachineConfigCR is used to configure workload partitioning on the worker node. You can generate the content ofcrioandkubeletconfiguration files.-
Add the created policy template to the Git repository monitored by the ArgoCD
policiesapplication. -
Add the policy in the
kustomization.yamlfile. - Commit the changes in Git, and then push to the Git repository being monitored by the GitOps ZTP ArgoCD application.
To remediate the new policies to your spoke cluster, create a TALM custom resource:
$ cat <<EOF | oc apply -f - apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: example-sno-worker-policies namespace: default spec: backup: false clusters: - example-sno enable: true managedPolicies: - group-du-sno-config-policy - example-sno-workers-config-policy - example-sno-config-policy preCaching: false remediationStrategy: maxConcurrency: 1 EOF
17.12.5. Adding worker nodes to single-node OpenShift clusters with GitOps ZTP
You can add one or more worker nodes to existing single-node OpenShift clusters to increase available CPU resources in the cluster.
Prerequisites
- Install and configure RHACM 2.6 or later in an OpenShift Container Platform 4.11 or later bare-metal hub cluster
- Install Topology Aware Lifecycle Manager in the hub cluster
- Install Red Hat OpenShift GitOps in the hub cluster
-
Use the GitOps ZTP
ztp-site-generatecontainer image version 4.12 or later - Deploy a managed single-node OpenShift cluster with GitOps ZTP
- Configure the Central Infrastructure Management as described in the RHACM documentation
-
Configure the DNS serving the cluster to resolve the internal API endpoint
api-int.<cluster_name>.<base_domain>
Procedure
If you deployed your cluster by using the
example-sno.yamlSiteConfigmanifest, add your new worker node to thespec.clusters['example-sno'].nodeslist:nodes: - hostName: "example-node2.example.com" role: "worker" bmcAddress: "idrac-virtualmedia+https://[1111:2222:3333:4444::bbbb:1]/redfish/v1/Systems/System.Embedded.1" bmcCredentialsName: name: "example-node2-bmh-secret" bootMACAddress: "AA:BB:CC:DD:EE:11" bootMode: "UEFI" nodeNetwork: interfaces: - name: eno1 macAddress: "AA:BB:CC:DD:EE:11" config: interfaces: - name: eno1 type: ethernet state: up macAddress: "AA:BB:CC:DD:EE:11" ipv4: enabled: false ipv6: enabled: true address: - ip: 1111:2222:3333:4444::1 prefix-length: 64 dns-resolver: config: search: - example.com server: - 1111:2222:3333:4444::2 routes: config: - destination: ::/0 next-hop-interface: eno1 next-hop-address: 1111:2222:3333:4444::1 table-id: 254Create a BMC authentication secret for the new host, as referenced by the
bmcCredentialsNamefield in thespec.nodessection of yourSiteConfigfile:apiVersion: v1 data: password: "password" username: "username" kind: Secret metadata: name: "example-node2-bmh-secret" namespace: example-sno type: Opaque
Commit the changes in Git, and then push to the Git repository that is being monitored by the GitOps ZTP ArgoCD application.
When the ArgoCD
clusterapplication synchronizes, two new manifests appear on the hub cluster generated by the GitOps ZTP plugin:-
BareMetalHost NMStateConfigImportantThe
cpusetfield should not be configured for the worker node. Workload partitioning for worker nodes is added through management policies after the node installation is complete.
-
Verification
You can monitor the installation process in several ways.
Check if the preprovisioning images are created by running the following command:
$ oc get ppimg -n example-sno
Example output
NAMESPACE NAME READY REASON example-sno example-sno True ImageCreated example-sno example-node2 True ImageCreated
Check the state of the bare-metal hosts:
$ oc get bmh -n example-sno
Example output
NAME STATE CONSUMER ONLINE ERROR AGE example-sno provisioned true 69m example-node2 provisioning true 4m50s 1- 1
- The
provisioningstate indicates that node booting from the installation media is in progress.
Continuously monitor the installation process:
Watch the agent install process by running the following command:
$ oc get agent -n example-sno --watch
Example output
NAME CLUSTER APPROVED ROLE STAGE 671bc05d-5358-8940-ec12-d9ad22804faa example-sno true master Done [...] 14fd821b-a35d-9cba-7978-00ddf535ff37 example-sno true worker Starting installation 14fd821b-a35d-9cba-7978-00ddf535ff37 example-sno true worker Installing 14fd821b-a35d-9cba-7978-00ddf535ff37 example-sno true worker Writing image to disk [...] 14fd821b-a35d-9cba-7978-00ddf535ff37 example-sno true worker Waiting for control plane [...] 14fd821b-a35d-9cba-7978-00ddf535ff37 example-sno true worker Rebooting 14fd821b-a35d-9cba-7978-00ddf535ff37 example-sno true worker Done
When the worker node installation is finished, the worker node certificates are approved automatically. At this point, the worker appears in the
ManagedClusterInfostatus. Run the following command to see the status:$ oc get managedclusterinfo/example-sno -n example-sno -o \ jsonpath='{range .status.nodeList[*]}{.name}{"\t"}{.conditions}{"\t"}{.labels}{"\n"}{end}'Example output
example-sno [{"status":"True","type":"Ready"}] {"node-role.kubernetes.io/master":"","node-role.kubernetes.io/worker":""} example-node2 [{"status":"True","type":"Ready"}] {"node-role.kubernetes.io/worker":""}
17.13. Pre-caching images for single-node OpenShift deployments
In environments with limited bandwidth where you use the GitOps Zero Touch Provisioning (ZTP) solution to deploy a large number of clusters, you want to avoid downloading all the images that are required for bootstrapping and installing OpenShift Container Platform. The limited bandwidth at remote single-node OpenShift sites can cause long deployment times. The factory-precaching-cli tool allows you to pre-stage servers before shipping them to the remote site for ZTP provisioning.
The factory-precaching-cli tool does the following:
- Downloads the RHCOS rootfs image that is required by the minimal ISO to boot.
-
Creates a partition from the installation disk labelled as
data. - Formats the disk in xfs.
- Creates a GUID Partition Table (GPT) data partition at the end of the disk, where the size of the partition is configurable by the tool.
- Copies the container images required to install OpenShift Container Platform.
- Copies the container images required by ZTP to install OpenShift Container Platform.
- Optional: Copies Day-2 Operators to the partition.
The factory-precaching-cli tool is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.
For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope.
17.13.1. Getting the factory-precaching-cli tool
The factory-precaching-cli tool Go binary is publicly available in the Telco RAN tools container image. The factory-precaching-cli tool Go binary in the container image is executed on the server running an RHCOS live image using podman. If you are working in a disconnected environment or have a private registry, you need to copy the image there so you can download the image to the server.
Procedure
Pull the factory-precaching-cli tool image by running the following command:
# podman pull quay.io/openshift-kni/telco-ran-tools:latest
Verification
To check that the tool is available, query the current version of the factory-precaching-cli tool Go binary:
# podman run quay.io/openshift-kni/telco-ran-tools:latest -- factory-precaching-cli -v
Example output
factory-precaching-cli version 20221018.120852+main.feecf17
17.13.2. Booting from a live operating system image
You can use the factory-precaching-cli tool with to boot servers where only one disk is available and external disk drive cannot be attached to the server.
RHCOS requires the disk to not be in use when the disk is about to be written with an RHCOS image.
Depending on the server hardware, you can mount the RHCOS live ISO on the blank server using one of the following methods:
- Using the Dell RACADM tool on a Dell server.
- Using the HPONCFG tool on a HP server.
- Using the Redfish BMC API.
It is recommended to automate the mounting procedure. To automate the procedure, you need to pull the required images and host them on a local HTTP server.
Prerequisites
- You powered up the host.
- You have network connectivity to the host.
This example procedure uses the Redfish BMC API to mount the RHCOS live ISO.
Mount the RHCOS live ISO:
Check virtual media status:
$ curl --globoff -H "Content-Type: application/json" -H \ "Accept: application/json" -k -X GET --user ${username_password} \ https://$BMC_ADDRESS/redfish/v1/Managers/Self/VirtualMedia/1 | python -m json.toolMount the ISO file as a virtual media:
$ curl --globoff -L -w "%{http_code} %{url_effective}\\n" -ku ${username_password} -H "Content-Type: application/json" -H "Accept: application/json" -d '{"Image": "http://[$HTTPd_IP]/RHCOS-live.iso"}' -X POST https://$BMC_ADDRESS/redfish/v1/Managers/Self/VirtualMedia/1/Actions/VirtualMedia.InsertMediaSet the boot order to boot from the virtual media once:
$ curl --globoff -L -w "%{http_code} %{url_effective}\\n" -ku ${username_password} -H "Content-Type: application/json" -H "Accept: application/json" -d '{"Boot":{ "BootSourceOverrideEnabled": "Once", "BootSourceOverrideTarget": "Cd", "BootSourceOverrideMode": "UEFI"}}' -X PATCH https://$BMC_ADDRESS/redfish/v1/Systems/Self
- Reboot and ensure that the server is booting from virtual media.
Additional resources
-
For more information about the
butaneutility, see About Butane. - For more information about creating a custom live RHCOS ISO, see Creating a custom live RHCOS ISO for remote server access.
- For more information about using the Dell RACADM tool, see Integrated Dell Remote Access Controller 9 RACADM CLI Guide.
- For more information about using the HP HPONCFG tool, see Using HPONCFG.
- For more information about using the Redfish BMC API, see Booting from an HTTP-hosted ISO image using the Redfish API.
17.13.3. Partitioning the disk
To run the full pre-caching process, you have to boot from a live ISO and use the factory-precaching-cli tool from a container image to partition and pre-cache all the artifacts required.
A live ISO or RHCOS live ISO is required because the disk must not be in use when the operating system (RHCOS) is written to the device during the provisioning. Single-disk servers can also be enabled with this procedure.
Prerequisites
- You have a disk that is not partitioned.
-
You have access to the
quay.io/openshift-kni/telco-ran-tools:latestimage. - You have enough storage to install OpenShift Container Platform and pre-cache the required images.
Procedure
Verify that the disk is cleared:
# lsblk
Example output
NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT loop0 7:0 0 93.8G 0 loop /run/ephemeral loop1 7:1 0 897.3M 1 loop /sysroot sr0 11:0 1 999M 0 rom /run/media/iso nvme0n1 259:1 0 1.5T 0 disk
Erase any file system, RAID or partition table signatures from the device:
# wipefs -a /dev/nvme0n1
Example output
/dev/nvme0n1: 8 bytes were erased at offset 0x00000200 (gpt): 45 46 49 20 50 41 52 54 /dev/nvme0n1: 8 bytes were erased at offset 0x1749a955e00 (gpt): 45 46 49 20 50 41 52 54 /dev/nvme0n1: 2 bytes were erased at offset 0x000001fe (PMBR): 55 aa
The tool fails if the disk is not empty because it uses partition number 1 of the device for pre-caching the artifacts.
17.13.3.1. Creating the partition
Once the device is ready, you create a single partition and a GPT partition table. The partition is automatically labelled as data and created at the end of the device. Otherwise, the partition will be overridden by the coreos-installer.
The coreos-installer requires the partition to be created at the end of the device and to be labelled as data. Both requirements are necessary to save the partition when writing the RHCOS image to the disk.
Prerequisites
-
The container must run as
privilegeddue to formatting host devices. -
You have to mount the
/devfolder so that the process can be executed inside the container.
Procedure
In the following example, the size of the partition is 250 GiB due to allow pre-caching the DU profile for Day 2 Operators.
Run the container as
privilegedand partition the disk:# podman run -v /dev:/dev --privileged \ --rm quay.io/openshift-kni/telco-ran-tools:latest -- \ factory-precaching-cli partition \ 1 -d /dev/nvme0n1 \ 2 -s 250 3
Check the storage information:
# lsblk
Example output
NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT loop0 7:0 0 93.8G 0 loop /run/ephemeral loop1 7:1 0 897.3M 1 loop /sysroot sr0 11:0 1 999M 0 rom /run/media/iso nvme0n1 259:1 0 1.5T 0 disk └─nvme0n1p1 259:3 0 250G 0 part
Verification
You must verify that the following requirements are met:
- The device has a GPT partition table
- The partition uses the latest sectors of the device.
-
The partition is correctly labeled as
data.
Query the disk status to verify that the disk is partitioned as expected:
# gdisk -l /dev/nvme0n1
Example output
GPT fdisk (gdisk) version 1.0.3 Partition table scan: MBR: protective BSD: not present APM: not present GPT: present Found valid GPT with protective MBR; using GPT. Disk /dev/nvme0n1: 3125627568 sectors, 1.5 TiB Model: Dell Express Flash PM1725b 1.6TB SFF Sector size (logical/physical): 512/512 bytes Disk identifier (GUID): CB5A9D44-9B3C-4174-A5C1-C64957910B61 Partition table holds up to 128 entries Main partition table begins at sector 2 and ends at sector 33 First usable sector is 34, last usable sector is 3125627534 Partitions will be aligned on 2048-sector boundaries Total free space is 2601338846 sectors (1.2 TiB) Number Start (sector) End (sector) Size Code Name 1 2601338880 3125627534 250.0 GiB 8300 data
17.13.3.2. Mounting the partition
After verifying that the disk is partitioned correctly, you can mount the device into /mnt.
It is recommended to mount the device into /mnt because that mounting point is used during GitOps ZTP preparation.
Verify that the partition is formatted as
xfs:# lsblk -f /dev/nvme0n1
Example output
NAME FSTYPE LABEL UUID MOUNTPOINT nvme0n1 └─nvme0n1p1 xfs 1bee8ea4-d6cf-4339-b690-a76594794071
Mount the partition:
# mount /dev/nvme0n1p1 /mnt/
Verification
Check that the partition is mounted:
# lsblk
Example output
NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT loop0 7:0 0 93.8G 0 loop /run/ephemeral loop1 7:1 0 897.3M 1 loop /sysroot sr0 11:0 1 999M 0 rom /run/media/iso nvme0n1 259:1 0 1.5T 0 disk └─nvme0n1p1 259:2 0 250G 0 part /var/mnt 1- 1
- The mount point is
/var/mntbecause the/mntfolder in RHCOS is a link to/var/mnt.
17.13.4. Downloading the images
The factory-precaching-cli tool allows you to download the following images to your partitioned server:
- OpenShift Container Platform images
- Operator images that are included in the distributed unit (DU) profile for 5G RAN sites
- Operator images from disconnected registries
The list of available Operator images can vary in different OpenShift Container Platform releases.
17.13.4.1. Downloading with parallel workers
The factory-precaching-cli tool uses parallel workers to download multiple images simultaneously. You can configure the number of workers with the --parallel or -p option. The default number is set to 80% of the available CPUs to the server.
Your login shell may be restricted to a subset of CPUs, which reduces the CPUs available to the container. To remove this restriction, you can precede your commands with taskset 0xffffffff, for example:
# taskset 0xffffffff podman run --rm quay.io/openshift-kni/telco-ran-tools:latest factory-precaching-cli download --help
17.13.4.2. Preparing to download the OpenShift Container Platform images
To download OpenShift Container Platform container images, you need to know the multicluster engine (MCE) version. When you use the --du-profile flag, you also need to specify the Red Hat Advanced Cluster Management (RHACM) version running in the hub cluster that is going to provision the single-node OpenShift.
Prerequisites
- You have RHACM and MCE installed.
- You partitioned the storage device.
- You have enough space for the images on the partitioned device.
- You connected the bare-metal server to the Internet.
- You have a valid pull secret.
Procedure
Check the RHACM and MCE version by running the following commands in the hub cluster:
$ oc get csv -A | grep -i advanced-cluster-management
Example output
open-cluster-management advanced-cluster-management.v2.6.3 Advanced Cluster Management for Kubernetes 2.6.3 advanced-cluster-management.v2.6.3 Succeeded
$ oc get csv -A | grep -i multicluster-engine
Example output
multicluster-engine cluster-group-upgrades-operator.v0.0.3 cluster-group-upgrades-operator 0.0.3 Pending multicluster-engine multicluster-engine.v2.1.4 multicluster engine for Kubernetes 2.1.4 multicluster-engine.v2.0.3 Succeeded multicluster-engine openshift-gitops-operator.v1.5.7 Red Hat OpenShift GitOps 1.5.7 openshift-gitops-operator.v1.5.6-0.1664915551.p Succeeded multicluster-engine openshift-pipelines-operator-rh.v1.6.4 Red Hat OpenShift Pipelines 1.6.4 openshift-pipelines-operator-rh.v1.6.3 Succeeded
To access the container registry, copy a valid pull secret on the server to be installed:
Create the
.dockerfolder:$ mkdir /root/.docker
Copy the valid pull in the
config.jsonfile to the previously created.docker/folder:$ cp config.json /root/.docker/config.json 1- 1
/root/.docker/config.jsonis the default path wherepodmanchecks for the login credentials for the registry.
If you use a different registry to pull the required artifacts, you need to copy the proper pull secret. If the local registry uses TLS, you need to include the certificates from the registry as well.
17.13.4.3. Downloading the OpenShift Container Platform images
The factory-precaching-cli tool allows you to pre-cache all the container images required to provision a specific OpenShift Container Platform release.
Procedure
Pre-cache the release by running the following command:
# podman run -v /mnt:/mnt -v /root/.docker:/root/.docker --privileged --rm quay.io/openshift-kni/telco-ran-tools -- \ factory-precaching-cli download \ 1 -r 4.13.0 \ 2 --acm-version 2.6.3 \ 3 --mce-version 2.1.4 \ 4 -f /mnt \ 5 --img quay.io/custom/repository 6
- 1
- Specifies the downloading function of the factory-precaching-cli tool.
- 2
- Defines the OpenShift Container Platform release version.
- 3
- Defines the RHACM version.
- 4
- Defines the MCE version.
- 5
- Defines the folder where you want to download the images on the disk.
- 6
- Optional. Defines the repository where you store your additional images. These images are downloaded and pre-cached on the disk.
Example output
Generated /mnt/imageset.yaml Generating list of pre-cached artifacts... Processing artifact [1/176]: ocp-v4.0-art-dev@sha256_6ac2b96bf4899c01a87366fd0feae9f57b1b61878e3b5823da0c3f34f707fbf5 Processing artifact [2/176]: ocp-v4.0-art-dev@sha256_f48b68d5960ba903a0d018a10544ae08db5802e21c2fa5615a14fc58b1c1657c Processing artifact [3/176]: ocp-v4.0-art-dev@sha256_a480390e91b1c07e10091c3da2257180654f6b2a735a4ad4c3b69dbdb77bbc06 Processing artifact [4/176]: ocp-v4.0-art-dev@sha256_ecc5d8dbd77e326dba6594ff8c2d091eefbc4d90c963a9a85b0b2f0e6155f995 Processing artifact [5/176]: ocp-v4.0-art-dev@sha256_274b6d561558a2f54db08ea96df9892315bb773fc203b1dbcea418d20f4c7ad1 Processing artifact [6/176]: ocp-v4.0-art-dev@sha256_e142bf5020f5ca0d1bdda0026bf97f89b72d21a97c9cc2dc71bf85050e822bbf ... Processing artifact [175/176]: ocp-v4.0-art-dev@sha256_16cd7eda26f0fb0fc965a589e1e96ff8577e560fcd14f06b5fda1643036ed6c8 Processing artifact [176/176]: ocp-v4.0-art-dev@sha256_cf4d862b4a4170d4f611b39d06c31c97658e309724f9788e155999ae51e7188f ... Summary: Release: 4.13.0 Hub Version: 2.6.3 ACM Version: 2.6.3 MCE Version: 2.1.4 Include DU Profile: No Workers: 83
Verification
Check that all the images are compressed in the target folder of server:
$ ls -l /mnt 1- 1
- It is recommended that you pre-cache the images in the
/mntfolder.
Example output
-rw-r--r--. 1 root root 136352323 Oct 31 15:19 ocp-v4.0-art-dev@sha256_edec37e7cd8b1611d0031d45e7958361c65e2005f145b471a8108f1b54316c07.tgz -rw-r--r--. 1 root root 156092894 Oct 31 15:33 ocp-v4.0-art-dev@sha256_ee51b062b9c3c9f4fe77bd5b3cc9a3b12355d040119a1434425a824f137c61a9.tgz -rw-r--r--. 1 root root 172297800 Oct 31 15:29 ocp-v4.0-art-dev@sha256_ef23d9057c367a36e4a5c4877d23ee097a731e1186ed28a26c8d21501cd82718.tgz -rw-r--r--. 1 root root 171539614 Oct 31 15:23 ocp-v4.0-art-dev@sha256_f0497bb63ef6834a619d4208be9da459510df697596b891c0c633da144dbb025.tgz -rw-r--r--. 1 root root 160399150 Oct 31 15:20 ocp-v4.0-art-dev@sha256_f0c339da117cde44c9aae8d0bd054bceb6f19fdb191928f6912a703182330ac2.tgz -rw-r--r--. 1 root root 175962005 Oct 31 15:17 ocp-v4.0-art-dev@sha256_f19dd2e80fb41ef31d62bb8c08b339c50d193fdb10fc39cc15b353cbbfeb9b24.tgz -rw-r--r--. 1 root root 174942008 Oct 31 15:33 ocp-v4.0-art-dev@sha256_f1dbb81fa1aa724e96dd2b296b855ff52a565fbef003d08030d63590ae6454df.tgz -rw-r--r--. 1 root root 246693315 Oct 31 15:31 ocp-v4.0-art-dev@sha256_f44dcf2c94e4fd843cbbf9b11128df2ba856cd813786e42e3da1fdfb0f6ddd01.tgz -rw-r--r--. 1 root root 170148293 Oct 31 15:00 ocp-v4.0-art-dev@sha256_f48b68d5960ba903a0d018a10544ae08db5802e21c2fa5615a14fc58b1c1657c.tgz -rw-r--r--. 1 root root 168899617 Oct 31 15:16 ocp-v4.0-art-dev@sha256_f5099b0989120a8d08a963601214b5c5cb23417a707a8624b7eb52ab788a7f75.tgz -rw-r--r--. 1 root root 176592362 Oct 31 15:05 ocp-v4.0-art-dev@sha256_f68c0e6f5e17b0b0f7ab2d4c39559ea89f900751e64b97cb42311a478338d9c3.tgz -rw-r--r--. 1 root root 157937478 Oct 31 15:37 ocp-v4.0-art-dev@sha256_f7ba33a6a9db9cfc4b0ab0f368569e19b9fa08f4c01a0d5f6a243d61ab781bd8.tgz -rw-r--r--. 1 root root 145535253 Oct 31 15:26 ocp-v4.0-art-dev@sha256_f8f098911d670287826e9499806553f7a1dd3e2b5332abbec740008c36e84de5.tgz -rw-r--r--. 1 root root 158048761 Oct 31 15:40 ocp-v4.0-art-dev@sha256_f914228ddbb99120986262168a705903a9f49724ffa958bb4bf12b2ec1d7fb47.tgz -rw-r--r--. 1 root root 167914526 Oct 31 15:37 ocp-v4.0-art-dev@sha256_fa3ca9401c7a9efda0502240aeb8d3ae2d239d38890454f17fe5158b62305010.tgz -rw-r--r--. 1 root root 164432422 Oct 31 15:24 ocp-v4.0-art-dev@sha256_fc4783b446c70df30b3120685254b40ce13ba6a2b0bf8fb1645f116cf6a392f1.tgz -rw-r--r--. 1 root root 306643814 Oct 31 15:11 troubleshoot@sha256_b86b8aea29a818a9c22944fd18243fa0347c7a2bf1ad8864113ff2bb2d8e0726.tgz
17.13.4.4. Downloading the Operator images
You can also pre-cache Day-2 Operators used in the 5G Radio Access Network (RAN) Distributed Unit (DU) cluster configuration. The Day-2 Operators depend on the installed OpenShift Container Platform version.
You need to include the RHACM hub and MCE Operator versions by using the --acm-version and --mce-version flags so the factory-precaching-cli tool can pre-cache the appropriate containers images for the RHACM and MCE Operators.
Procedure
Pre-cache the Operator images:
# podman run -v /mnt:/mnt -v /root/.docker:/root/.docker --privileged --rm quay.io/openshift-kni/telco-ran-tools:latest -- factory-precaching-cli download \ 1 -r 4.13.0 \ 2 --acm-version 2.6.3 \ 3 --mce-version 2.1.4 \ 4 -f /mnt \ 5 --img quay.io/custom/repository 6 --du-profile -s 7
- 1
- Specifies the downloading function of the factory-precaching-cli tool.
- 2
- Defines the OpenShift Container Platform release version.
- 3
- Defines the RHACM version.
- 4
- Defines the MCE version.
- 5
- Defines the folder where you want to download the images on the disk.
- 6
- Optional. Defines the repository where you store your additional images. These images are downloaded and pre-cached on the disk.
- 7
- Specifies pre-caching the Operators included in the DU configuration.
Example output
Generated /mnt/imageset.yaml Generating list of pre-cached artifacts... Processing artifact [1/379]: ocp-v4.0-art-dev@sha256_7753a8d9dd5974be8c90649aadd7c914a3d8a1f1e016774c7ac7c9422e9f9958 Processing artifact [2/379]: ose-kube-rbac-proxy@sha256_c27a7c01e5968aff16b6bb6670423f992d1a1de1a16e7e260d12908d3322431c Processing artifact [3/379]: ocp-v4.0-art-dev@sha256_370e47a14c798ca3f8707a38b28cfc28114f492bb35fe1112e55d1eb51022c99 ... Processing artifact [378/379]: ose-local-storage-operator@sha256_0c81c2b79f79307305e51ce9d3837657cf9ba5866194e464b4d1b299f85034d0 Processing artifact [379/379]: multicluster-operators-channel-rhel8@sha256_c10f6bbb84fe36e05816e873a72188018856ad6aac6cc16271a1b3966f73ceb3 ... Summary: Release: 4.13.0 Hub Version: 2.6.3 ACM Version: 2.6.3 MCE Version: 2.1.4 Include DU Profile: Yes Workers: 83
17.13.4.5. Pre-caching custom images in disconnected environments
The --generate-imageset argument stops the factory-precaching-cli tool after the ImageSetConfiguration custom resource (CR) is generated. This allows you to customize the ImageSetConfiguration CR before downloading any images. After you customized the CR, you can use the --skip-imageset argument to download the images that you specified in the ImageSetConfiguration CR.
You can customize the ImageSetConfiguration CR in the following ways:
- Add Operators and additional images
- Remove Operators and additional images
- Change Operator and catalog sources to local or disconnected registries
Procedure
Pre-cache the images:
# podman run -v /mnt:/mnt -v /root/.docker:/root/.docker --privileged --rm quay.io/openshift-kni/telco-ran-tools:latest -- factory-precaching-cli download \ 1 -r 4.13.0 \ 2 --acm-version 2.6.3 \ 3 --mce-version 2.1.4 \ 4 -f /mnt \ 5 --img quay.io/custom/repository 6 --du-profile -s \ 7 --generate-imageset 8
- 1
- Specifies the downloading function of the factory-precaching-cli tool.
- 2
- Defines the OpenShift Container Platform release version.
- 3
- Defines the RHACM version.
- 4
- Defines the MCE version.
- 5
- Defines the folder where you want to download the images on the disk.
- 6
- Optional. Defines the repository where you store your additional images. These images are downloaded and pre-cached on the disk.
- 7
- Specifies pre-caching the Operators included in the DU configuration.
- 8
- The
--generate-imagesetargument generates theImageSetConfigurationCR only, which allows you to customize the CR.
Example output
Generated /mnt/imageset.yaml
Example ImageSetConfiguration CR
apiVersion: mirror.openshift.io/v1alpha2 kind: ImageSetConfiguration mirror: platform: channels: - name: stable-4.13 minVersion: 4.13.0 1 maxVersion: 4.13.0 additionalImages: - name: quay.io/custom/repository operators: - catalog: registry.redhat.io/redhat/redhat-operator-index:v4.13 packages: - name: advanced-cluster-management 2 channels: - name: 'release-2.6' minVersion: 2.6.3 maxVersion: 2.6.3 - name: multicluster-engine 3 channels: - name: 'stable-2.1' minVersion: 2.1.4 maxVersion: 2.1.4 - name: local-storage-operator 4 channels: - name: 'stable' - name: ptp-operator 5 channels: - name: 'stable' - name: sriov-network-operator 6 channels: - name: 'stable' - name: cluster-logging 7 channels: - name: 'stable' - name: lvms-operator 8 channels: - name: 'stable-4.13' - name: amq7-interconnect-operator 9 channels: - name: '1.10.x' - name: bare-metal-event-relay 10 channels: - name: 'stable' - catalog: registry.redhat.io/redhat/certified-operator-index:v4.13 packages: - name: sriov-fec 11 channels: - name: 'stable'Customize the catalog resource in the CR:
apiVersion: mirror.openshift.io/v1alpha2 kind: ImageSetConfiguration mirror: platform: [...] operators: - catalog: eko4.cloud.lab.eng.bos.redhat.com:8443/redhat/certified-operator-index:v4.13 packages: - name: sriov-fec channels: - name: 'stable'When you download images by using a local or disconnected registry, you have to first add certificates for the registries that you want to pull the content from.
To avoid any errors, copy the registry certificate into your server:
# cp /tmp/eko4-ca.crt /etc/pki/ca-trust/source/anchors/.
Then, update the certificates trust store:
# update-ca-trust
Mount the host
/etc/pkifolder into the factory-cli image:# podman run -v /mnt:/mnt -v /root/.docker:/root/.docker -v /etc/pki:/etc/pki --privileged --rm quay.io/openshift-kni/telco-ran-tools:latest -- \ factory-precaching-cli download \ 1 -r 4.13.0 \ 2 --acm-version 2.6.3 \ 3 --mce-version 2.1.4 \ 4 -f /mnt \ 5 --img quay.io/custom/repository 6 --du-profile -s \ 7 --skip-imageset 8
- 1
- Specifies the downloading function of the factory-precaching-cli tool.
- 2
- Defines the OpenShift Container Platform release version.
- 3
- Defines the RHACM version.
- 4
- Defines the MCE version.
- 5
- Defines the folder where you want to download the images on the disk.
- 6
- Optional. Defines the repository where you store your additional images. These images are downloaded and pre-cached on the disk.
- 7
- Specifies pre-caching the Operators included in the DU configuration.
- 8
- The
--skip-imagesetargument allows you to download the images that you specified in your customizedImageSetConfigurationCR.
Download the images without generating a new
imageSetConfigurationCR:# podman run -v /mnt:/mnt -v /root/.docker:/root/.docker --privileged --rm quay.io/openshift-kni/telco-ran-tools:latest -- factory-precaching-cli download -r 4.13.0 \ --acm-version 2.6.3 --mce-version 2.1.4 -f /mnt \ --img quay.io/custom/repository \ --du-profile -s \ --skip-imageset
Additional resources
- To access the online Red Hat registries, see OpenShift installation customization tools.
- For more information about using the multicluster engine, see About cluster lifecycle with the multicluster engine operator.
17.13.5. Pre-caching images in GitOps ZTP
The SiteConfig manifest defines how an OpenShift cluster is to be installed and configured. In the GitOps Zero Touch Provisioning (ZTP) provisioning workflow, the factory-precaching-cli tool requires the following additional fields in the SiteConfig manifest:
-
clusters.ignitionConfigOverride -
nodes.installerArgs -
nodes.ignitionConfigOverride
Example SiteConfig with additional fields
apiVersion: ran.openshift.io/v1
kind: SiteConfig
metadata:
name: "example-5g-lab"
namespace: "example-5g-lab"
spec:
baseDomain: "example.domain.redhat.com"
pullSecretRef:
name: "assisted-deployment-pull-secret"
clusterImageSetNameRef: "img4.9.10-x86-64-appsub"
sshPublicKey: "ssh-rsa ..."
clusters:
- clusterName: "sno-worker-0"
clusterImageSetNameRef: "eko4-img4.11.5-x86-64-appsub"
clusterLabels:
group-du-sno: ""
common-411: true
sites : "example-5g-lab"
vendor: "OpenShift"
clusterNetwork:
- cidr: 10.128.0.0/14
hostPrefix: 23
machineNetwork:
- cidr: 10.19.32.192/26
serviceNetwork:
- 172.30.0.0/16
networkType: "OVNKubernetes"
additionalNTPSources:
- clock.corp.redhat.com
ignitionConfigOverride: '{"ignition":{"version":"3.1.0"},"systemd":{"units":[{"name":"var-mnt.mount","enabled":true,"contents":"[Unit]\nDescription=Mount partition with artifacts\nBefore=precache-images.service\nBindsTo=precache-images.service\nStopWhenUnneeded=true\n\n[Mount]\nWhat=/dev/disk/by-partlabel/data\nWhere=/var/mnt\nType=xfs\nTimeoutSec=30\n\n[Install]\nRequiredBy=precache-images.service"},{"name":"precache-images.service","enabled":true,"contents":"[Unit]\nDescription=Extracts the precached images in discovery stage\nAfter=var-mnt.mount\nBefore=agent.service\n\n[Service]\nType=oneshot\nUser=root\nWorkingDirectory=/var/mnt\nExecStart=bash /usr/local/bin/extract-ai.sh\n#TimeoutStopSec=30\n\n[Install]\nWantedBy=multi-user.target default.target\nWantedBy=agent.service"}]},"storage":{"files":[{"overwrite":true,"path":"/usr/local/bin/extract-ai.sh","mode":755,"user":{"name":"root"},"contents":{"source":"data:,%23%21%2Fbin%2Fbash%0A%0AFOLDER%3D%22%24%7BFOLDER%3A-%24%28pwd%29%7D%22%0AOCP_RELEASE_LIST%3D%22%24%7BOCP_RELEASE_LIST%3A-ai-images.txt%7D%22%0ABINARY_FOLDER%3D%2Fvar%2Fmnt%0A%0Apushd%20%24FOLDER%0A%0Atotal_copies%3D%24%28sort%20-u%20%24BINARY_FOLDER%2F%24OCP_RELEASE_LIST%20%7C%20wc%20-l%29%20%20%23%20Required%20to%20keep%20track%20of%20the%20pull%20task%20vs%20total%0Acurrent_copy%3D1%0A%0Awhile%20read%20-r%20line%3B%0Ado%0A%20%20uri%3D%24%28echo%20%22%24line%22%20%7C%20awk%20%27%7Bprint%241%7D%27%29%0A%20%20%23tar%3D%24%28echo%20%22%24line%22%20%7C%20awk%20%27%7Bprint%242%7D%27%29%0A%20%20podman%20image%20exists%20%24uri%0A%20%20if%20%5B%5B%20%24%3F%20-eq%200%20%5D%5D%3B%20then%0A%20%20%20%20%20%20echo%20%22Skipping%20existing%20image%20%24tar%22%0A%20%20%20%20%20%20echo%20%22Copying%20%24%7Buri%7D%20%5B%24%7Bcurrent_copy%7D%2F%24%7Btotal_copies%7D%5D%22%0A%20%20%20%20%20%20current_copy%3D%24%28%28current_copy%20%2B%201%29%29%0A%20%20%20%20%20%20continue%0A%20%20fi%0A%20%20tar%3D%24%28echo%20%22%24uri%22%20%7C%20%20rev%20%7C%20cut%20-d%20%22%2F%22%20-f1%20%7C%20rev%20%7C%20tr%20%22%3A%22%20%22_%22%29%0A%20%20tar%20zxvf%20%24%7Btar%7D.tgz%0A%20%20if%20%5B%20%24%3F%20-eq%200%20%5D%3B%20then%20rm%20-f%20%24%7Btar%7D.gz%3B%20fi%0A%20%20echo%20%22Copying%20%24%7Buri%7D%20%5B%24%7Bcurrent_copy%7D%2F%24%7Btotal_copies%7D%5D%22%0A%20%20skopeo%20copy%20dir%3A%2F%2F%24%28pwd%29%2F%24%7Btar%7D%20containers-storage%3A%24%7Buri%7D%0A%20%20if%20%5B%20%24%3F%20-eq%200%20%5D%3B%20then%20rm%20-rf%20%24%7Btar%7D%3B%20current_copy%3D%24%28%28current_copy%20%2B%201%29%29%3B%20fi%0Adone%20%3C%20%24%7BBINARY_FOLDER%7D%2F%24%7BOCP_RELEASE_LIST%7D%0A%0A%23%20workaround%20while%20https%3A%2F%2Fgithub.com%2Fopenshift%2Fassisted-service%2Fpull%2F3546%0A%23cp%20%2Fvar%2Fmnt%2Fmodified-rhcos-4.10.3-x86_64-metal.x86_64.raw.gz%20%2Fvar%2Ftmp%2F.%0A%0Aexit%200"}},{"overwrite":true,"path":"/usr/local/bin/agent-fix-bz1964591","mode":755,"user":{"name":"root"},"contents":{"source":"data:,%23%21%2Fusr%2Fbin%2Fsh%0A%0A%23%20This%20script%20is%20a%20workaround%20for%20bugzilla%201964591%20where%20symlinks%20inside%20%2Fvar%2Flib%2Fcontainers%2F%20get%0A%23%20corrupted%20under%20some%20circumstances.%0A%23%0A%23%20In%20order%20to%20let%20agent.service%20start%20correctly%20we%20are%20checking%20here%20whether%20the%20requested%0A%23%20container%20image%20exists%20and%20in%20case%20%22podman%20images%22%20returns%20an%20error%20we%20try%20removing%20the%20faulty%0A%23%20image.%0A%23%0A%23%20In%20such%20a%20scenario%20agent.service%20will%20detect%20the%20image%20is%20not%20present%20and%20pull%20it%20again.%20In%20case%0A%23%20the%20image%20is%20present%20and%20can%20be%20detected%20correctly%2C%20no%20any%20action%20is%20required.%0A%0AIMAGE%3D%24%28echo%20%241%20%7C%20sed%20%27s%2F%3A.%2A%2F%2F%27%29%0Apodman%20image%20exists%20%24IMAGE%20%7C%7C%20echo%20%22already%20loaded%22%20%7C%7C%20echo%20%22need%20to%20be%20pulled%22%0A%23podman%20images%20%7C%20grep%20%24IMAGE%20%7C%7C%20podman%20rmi%20--force%20%241%20%7C%7C%20true"}}]}}'
nodes:
- hostName: "snonode.sno-worker-0.example.domain.redhat.com"
role: "master"
bmcAddress: "idrac-virtualmedia+https://10.19.28.53/redfish/v1/Systems/System.Embedded.1"
bmcCredentialsName:
name: "worker0-bmh-secret"
bootMACAddress: "e4:43:4b:bd:90:46"
bootMode: "UEFI"
rootDeviceHints:
deviceName: /dev/nvme0n1
cpuset: "0-1,40-41"
installerArgs: '["--save-partlabel", "data"]'
ignitionConfigOverride: '{"ignition":{"version":"3.1.0"},"systemd":{"units":[{"name":"var-mnt.mount","enabled":true,"contents":"[Unit]\nDescription=Mount partition with artifacts\nBefore=precache-ocp-images.service\nBindsTo=precache-ocp-images.service\nStopWhenUnneeded=true\n\n[Mount]\nWhat=/dev/disk/by-partlabel/data\nWhere=/var/mnt\nType=xfs\nTimeoutSec=30\n\n[Install]\nRequiredBy=precache-ocp-images.service"},{"name":"precache-ocp-images.service","enabled":true,"contents":"[Unit]\nDescription=Extracts the precached OCP images into containers storage\nAfter=var-mnt.mount\nBefore=machine-config-daemon-pull.service nodeip-configuration.service\n\n[Service]\nType=oneshot\nUser=root\nWorkingDirectory=/var/mnt\nExecStart=bash /usr/local/bin/extract-ocp.sh\nTimeoutStopSec=60\n\n[Install]\nWantedBy=multi-user.target"}]},"storage":{"files":[{"overwrite":true,"path":"/usr/local/bin/extract-ocp.sh","mode":755,"user":{"name":"root"},"contents":{"source":"data:,%23%21%2Fbin%2Fbash%0A%0AFOLDER%3D%22%24%7BFOLDER%3A-%24%28pwd%29%7D%22%0AOCP_RELEASE_LIST%3D%22%24%7BOCP_RELEASE_LIST%3A-ocp-images.txt%7D%22%0ABINARY_FOLDER%3D%2Fvar%2Fmnt%0A%0Apushd%20%24FOLDER%0A%0Atotal_copies%3D%24%28sort%20-u%20%24BINARY_FOLDER%2F%24OCP_RELEASE_LIST%20%7C%20wc%20-l%29%20%20%23%20Required%20to%20keep%20track%20of%20the%20pull%20task%20vs%20total%0Acurrent_copy%3D1%0A%0Awhile%20read%20-r%20line%3B%0Ado%0A%20%20uri%3D%24%28echo%20%22%24line%22%20%7C%20awk%20%27%7Bprint%241%7D%27%29%0A%20%20%23tar%3D%24%28echo%20%22%24line%22%20%7C%20awk%20%27%7Bprint%242%7D%27%29%0A%20%20podman%20image%20exists%20%24uri%0A%20%20if%20%5B%5B%20%24%3F%20-eq%200%20%5D%5D%3B%20then%0A%20%20%20%20%20%20echo%20%22Skipping%20existing%20image%20%24tar%22%0A%20%20%20%20%20%20echo%20%22Copying%20%24%7Buri%7D%20%5B%24%7Bcurrent_copy%7D%2F%24%7Btotal_copies%7D%5D%22%0A%20%20%20%20%20%20current_copy%3D%24%28%28current_copy%20%2B%201%29%29%0A%20%20%20%20%20%20continue%0A%20%20fi%0A%20%20tar%3D%24%28echo%20%22%24uri%22%20%7C%20%20rev%20%7C%20cut%20-d%20%22%2F%22%20-f1%20%7C%20rev%20%7C%20tr%20%22%3A%22%20%22_%22%29%0A%20%20tar%20zxvf%20%24%7Btar%7D.tgz%0A%20%20if%20%5B%20%24%3F%20-eq%200%20%5D%3B%20then%20rm%20-f%20%24%7Btar%7D.gz%3B%20fi%0A%20%20echo%20%22Copying%20%24%7Buri%7D%20%5B%24%7Bcurrent_copy%7D%2F%24%7Btotal_copies%7D%5D%22%0A%20%20skopeo%20copy%20dir%3A%2F%2F%24%28pwd%29%2F%24%7Btar%7D%20containers-storage%3A%24%7Buri%7D%0A%20%20if%20%5B%20%24%3F%20-eq%200%20%5D%3B%20then%20rm%20-rf%20%24%7Btar%7D%3B%20current_copy%3D%24%28%28current_copy%20%2B%201%29%29%3B%20fi%0Adone%20%3C%20%24%7BBINARY_FOLDER%7D%2F%24%7BOCP_RELEASE_LIST%7D%0A%0Aexit%200"}}]}}'
nodeNetwork:
config:
interfaces:
- name: ens1f0
type: ethernet
state: up
macAddress: "AA:BB:CC:11:22:33"
ipv4:
enabled: true
dhcp: true
ipv6:
enabled: false
interfaces:
- name: "ens1f0"
macAddress: "AA:BB:CC:11:22:33"
17.13.5.1. Understanding the clusters.ignitionConfigOverride field
The clusters.ignitionConfigOverride field adds a configuration in Ignition format during the GitOps ZTP discovery stage. The configuration includes systemd services in the ISO mounted in virtual media. This way, the scripts are part of the discovery RHCOS live ISO and they can be used to load the Assisted Installer (AI) images.
systemdservices-
The
systemdservices arevar-mnt.mountandprecache-images.services. Theprecache-images.servicedepends on the disk partition to be mounted in/var/mntby thevar-mnt.mountunit. The service calls a script calledextract-ai.sh. extract-ai.sh-
The
extract-ai.shscript extracts and loads the required images from the disk partition to the local container storage. When the script finishes successfully, you can use the images locally. agent-fix-bz1964591-
The
agent-fix-bz1964591script is a workaround for an AI issue. To prevent AI from removing the images, which can force theagent.serviceto pull the images again from the registry, theagent-fix-bz1964591script checks if the requested container images exist.
17.13.5.2. Understanding the nodes.installerArgs field
The nodes.installerArgs field allows you to configure how the coreos-installer utility writes the RHCOS live ISO to disk. You need to indicate to save the disk partition labeled as data because the artifacts saved in the data partition are needed during the OpenShift Container Platform installation stage.
The extra parameters are passed directly to the coreos-installer utility that writes the live RHCOS to disk. On the next reboot, the operating system starts from the disk.
You can pass several options to the coreos-installer utility:
OPTIONS:
...
-u, --image-url <URL>
Manually specify the image URL
-f, --image-file <path>
Manually specify a local image file
-i, --ignition-file <path>
Embed an Ignition config from a file
-I, --ignition-url <URL>
Embed an Ignition config from a URL
...
--save-partlabel <lx>...
Save partitions with this label glob
--save-partindex <id>...
Save partitions with this number or range
...
--insecure-ignition
Allow Ignition URL without HTTPS or hash17.13.5.3. Understanding the nodes.ignitionConfigOverride field
Similarly to clusters.ignitionConfigOverride, the nodes.ignitionConfigOverride field allows the addtion of configurations in Ignition format to the coreos-installer utility, but at the OpenShift Container Platform installation stage. When the RHCOS is written to disk, the extra configuration included in the GitOps ZTP discovery ISO is no longer available. During the discovery stage, the extra configuration is stored in the memory of the live OS.
At this stage, the number of container images extracted and loaded is bigger than in the discovery stage. Depending on the OpenShift Container Platform release and whether you install the Day-2 Operators, the installation time can vary.
At the installation stage, the var-mnt.mount and precache-ocp.services systemd services are used.
precache-ocp.serviceThe
precache-ocp.servicedepends on the disk partition to be mounted in/var/mntby thevar-mnt.mountunit. Theprecache-ocp.serviceservice calls a script calledextract-ocp.sh.ImportantTo extract all the images before the OpenShift Container Platform installation, you must execute
precache-ocp.servicebefore executing themachine-config-daemon-pull.serviceandnodeip-configuration.serviceservices.extract-ocp.sh-
The
extract-ocp.shscript extracts and loads the required images from the disk partition to the local container storage. When the script finishes successfully, you can use the images locally.
When you upload the SiteConfig and the optional PolicyGenTemplates custom resources (CRs) to the Git repo, which Argo CD is monitoring, you can start the GitOps ZTP workflow by syncing the CRs with the hub cluster.
17.13.6. Troubleshooting
17.13.6.1. Rendered catalog is invalid
When you download images by using a local or disconnected registry, you might see the The rendered catalog is invalid error. This means that you are missing certificates of the new registry you want to pull content from.
The factory-precaching-cli tool image is built on a UBI RHEL image. Certificate paths and locations are the same on RHCOS.
Example error
Generating list of pre-cached artifacts... error: unable to run command oc-mirror -c /mnt/imageset.yaml file:///tmp/fp-cli-3218002584/mirror --ignore-history --dry-run: Creating directory: /tmp/fp-cli-3218002584/mirror/oc-mirror-workspace/src/publish Creating directory: /tmp/fp-cli-3218002584/mirror/oc-mirror-workspace/src/v2 Creating directory: /tmp/fp-cli-3218002584/mirror/oc-mirror-workspace/src/charts Creating directory: /tmp/fp-cli-3218002584/mirror/oc-mirror-workspace/src/release-signatures backend is not configured in /mnt/imageset.yaml, using stateless mode backend is not configured in /mnt/imageset.yaml, using stateless mode No metadata detected, creating new workspace level=info msg=trying next host error=failed to do request: Head "https://eko4.cloud.lab.eng.bos.redhat.com:8443/v2/redhat/redhat-operator-index/manifests/v4.11": x509: certificate signed by unknown authority host=eko4.cloud.lab.eng.bos.redhat.com:8443 The rendered catalog is invalid. Run "oc-mirror list operators --catalog CATALOG-NAME --package PACKAGE-NAME" for more information. error: error rendering new refs: render reference "eko4.cloud.lab.eng.bos.redhat.com:8443/redhat/redhat-operator-index:v4.11": error resolving name : failed to do request: Head "https://eko4.cloud.lab.eng.bos.redhat.com:8443/v2/redhat/redhat-operator-index/manifests/v4.11": x509: certificate signed by unknown authority
Procedure
Copy the registry certificate into your server:
# cp /tmp/eko4-ca.crt /etc/pki/ca-trust/source/anchors/.
Update the certificates trust store:
# update-ca-trust
Mount the host
/etc/pkifolder into the factory-cli image:# podman run -v /mnt:/mnt -v /root/.docker:/root/.docker -v /etc/pki:/etc/pki --privileged -it --rm quay.io/openshift-kni/telco-ran-tools:latest -- \ factory-precaching-cli download -r 4.13.0 --acm-version 2.5.4 \ --mce-version 2.0.4 -f /mnt \--img quay.io/custom/repository --du-profile -s --skip-imageset