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Chapter 7. Monitoring your brokers

7.1. Viewing brokers in Fuse Console

You can configure an Operator-based broker deployment to use Fuse Console for OpenShift instead of the AMQ Management Console. When you have configured your broker deployment appropriately, Fuse Console discovers the brokers and displays them on a dedicated Artemis tab. You can view the same broker runtime data that you do in the AMQ Management Console. You can also perform the same basic management operations, such as creating addresses and queues.

The following procedure describes how to configure the Custom Resource (CR) instance for a broker deployment to enable Fuse Console for OpenShift to discover and display brokers in the deployment.

Prerequisites

Fuse Console for OpenShift must be deployed to an OCP cluster, or to a specific namespace on that cluster. If you have deployed the console to a specific namespace, your broker deployment must be in the same namespace, to enable the console to discover the brokers. Otherwise, it is sufficient for Fuse Console and the brokers to be deployed on the same OCP cluster. For more information on installing Fuse Online on OCP, see Installing and Operating Fuse Online on OpenShift Container Platform.
You must have already created a broker deployment. For example, to learn how to use a Custom Resource (CR) instance to create a basic Operator-based deployment, see Section 3.4.1, “Deploying a basic broker instance”.

Procedure

Open the CR instance that you used for your broker deployment. For example, the CR for a basic deployment might resemble the following:

apiVersion: broker.amq.io/v1beta1
kind: ActiveMQArtemis
metadata:
  name: ex-aao
  application: ex-aao-app
spec:
  deploymentPlan:
    size: 4
    image: registry.redhat.io/amq7/amq-broker-rhel8:7.10
        ...

In the deploymentPlan section, add the jolokiaAgentEnabled and managementRBACEnabled properties and specify values, as shown below.
```
apiVersion: broker.amq.io/v1beta1
kind: ActiveMQArtemis
metadata:
  name: ex-aao
  application: ex-aao-app
spec:
  deploymentPlan:
    size: 4
    image: registry.redhat.io/amq7/amq-broker-rhel8:7.10
    ...
    jolokiaAgentEnabled: true
    managementRBACEnabled: false
```
jolokiaAgentEnabled
Specifies whether Fuse Console can discover and display runtime data for the brokers in the deployment. To use Fuse Console, set the value to true.
managementRBACEnabled
Specifies whether role-based access control (RBAC) is enabled for the brokers in the deployment. You must set the value to false to use Fuse Console because Fuse Console uses its own role-based access control.
Important
If you set the value of managementRBACEnabled to false to enable use of Fuse Console, management MBeans for the brokers no longer require authorization. You should not use the AMQ management console while managementRBACEnabled is set to false because this potentially exposes all management operations on the brokers to unauthorized use.
Save the CR instance.
Switch to the project in which you previously created your broker deployment.
```
$ oc project <project_name>
```

At the command line, apply the change.

$ oc apply -f <path/to/custom_resource_instance>.yaml

In Fuse Console, to view Fuse applications, click the Online tab. To view running brokers, in the left navigation menu, click Artemis.

Additional resources

For more information about using Fuse Console for OpenShift, see Monitoring and managing Red Hat Fuse applications on OpenShift.
To learn about using AMQ Management Console to view and manage brokers in the same way that you can in Fuse Console, see Managing brokers using AMQ Management Console.

7.2. Monitoring broker runtime metrics using Prometheus

The sections that follow describe how to configure the Prometheus metrics plugin for AMQ Broker on OpenShift Container Platform. You can use the plugin to monitor and store broker runtime metrics. You might also use a graphical tool such as Grafana to configure more advanced visualizations and dashboards of the data that the Prometheus plugin collects.

Note

The Prometheus metrics plugin enables you to collect and export broker metrics in Prometheus format. However, Red Hat does not provide support for installation or configuration of Prometheus itself, nor of visualization tools such as Grafana. If you require support with installing, configuring, or running Prometheus or Grafana, visit the product websites for resources such as community support and documentation.

7.2.1. Metrics overview

To monitor the health and performance of your broker instances, you can use the Prometheus plugin for AMQ Broker to monitor and store broker runtime metrics. The AMQ Broker Prometheus plugin exports the broker runtime metrics to Prometheus format, enabling you to use Prometheus itself to visualize and run queries on the data.

You can also use a graphical tool, such as Grafana, to configure more advanced visualizations and dashboards for the metrics that the Prometheus plugin collects.

The metrics that the plugin exports to Prometheus format are described below.

Broker metrics

artemis_address_memory_usage: Number of bytes used by all addresses on this broker for in-memory messages.
artemis_address_memory_usage_percentage: Memory used by all the addresses on this broker as a percentage of the global-max-size parameter.
artemis_connection_count: Number of clients connected to this broker.
artemis_total_connection_count: Number of clients that have connected to this broker since it was started.

Address metrics

artemis_routed_message_count: Number of messages routed to one or more queue bindings.
artemis_unrouted_message_count: Number of messages not routed to any queue bindings.

Queue metrics

artemis_consumer_count: Number of clients consuming messages from a given queue.
artemis_delivering_durable_message_count: Number of durable messages that a given queue is currently delivering to consumers.
artemis_delivering_durable_persistent_size: Persistent size of durable messages that a given queue is currently delivering to consumers.
artemis_delivering_message_count: Number of messages that a given queue is currently delivering to consumers.
artemis_delivering_persistent_size: Persistent size of messages that a given queue is currently delivering to consumers.
artemis_durable_message_count: Number of durable messages currently in a given queue. This includes scheduled, paged, and in-delivery messages.
artemis_durable_persistent_size: Persistent size of durable messages currently in a given queue. This includes scheduled, paged, and in-delivery messages.
artemis_messages_acknowledged: Number of messages acknowledged from a given queue since the queue was created.
artemis_messages_added: Number of messages added to a given queue since the queue was created.
artemis_message_count: Number of messages currently in a given queue. This includes scheduled, paged, and in-delivery messages.
artemis_messages_killed: Number of messages removed from a given queue since the queue was created. The broker kills a message when the message exceeds the configured maximum number of delivery attempts.
artemis_messages_expired: Number of messages expired from a given queue since the queue was created.
artemis_persistent_size: Persistent size of all messages (both durable and non-durable) currently in a given queue. This includes scheduled, paged, and in-delivery messages.
artemis_scheduled_durable_message_count: Number of durable, scheduled messages in a given queue.
artemis_scheduled_durable_persistent_size: Persistent size of durable, scheduled messages in a given queue.
artemis_scheduled_message_count: Number of scheduled messages in a given queue.
artemis_scheduled_persistent_size: Persistent size of scheduled messages in a given queue.

For higher-level broker metrics that are not listed above, you can calculate these by aggregating lower-level metrics. For example, to calculate total message count, you can aggregate the artemis_message_count metrics from all queues in your broker deployment.

For an on-premise deployment of AMQ Broker, metrics for the Java Virtual Machine (JVM) hosting the broker are also exported to Prometheus format. This does not apply to a deployment of AMQ Broker on OpenShift Container Platform.

7.2.2. Enabling the Prometheus plugin using a CR

When you install AMQ Broker, a Prometheus metrics plugin is included in your installation. When enabled, the plugin collects runtime metrics for the broker and exports these to Prometheus format.

The following procedure shows how to enable the Prometheus plugin for AMQ Broker using a CR. This procedure supports new and existing deployments of AMQ Broker 7.9 or later.

See Section 7.2.3, “Enabling the Prometheus plugin for a running broker deployment using an environment variable” for an alternative procedure with running brokers.

Procedure

Open the CR instance that you use for your broker deployment. For example, the CR for a basic deployment might resemble the following:

apiVersion: broker.amq.io/v1beta1
kind: ActiveMQArtemis
metadata:
  name: ex-aao
  application: ex-aao-app
spec:
  deploymentPlan:
    size: 4
    image: registry.redhat.io/amq7/amq-broker-rhel8:7.10
  ...

In the deploymentPlan section, add the enableMetricsPlugin property and set the value to true, as shown below.

apiVersion: broker.amq.io/v1beta1
kind: ActiveMQArtemis
metadata:
  name: ex-aao
  application: ex-aao-app
spec:
  deploymentPlan:
    size: 4
    image: registry.redhat.io/amq7/amq-broker-rhel8:7.10
    ...
    enableMetricsPlugin: true

enableMetricsPlugin: Specifies whether the Prometheus plugin is enabled for the brokers in the deployment.

Save the CR instance.
Switch to the project in which you previously created your broker deployment.
```
$ oc project <project_name>
```
At the command line, apply the change.
```
$ oc apply -f <path/to/custom_resource_instance>.yaml
```
The metrics plugin starts to gather broker runtime metrics in Prometheus format.

Additional resources

For information about updating a running broker, see Section 3.4.3, “Applying Custom Resource changes to running broker deployments”.

7.2.3. Enabling the Prometheus plugin for a running broker deployment using an environment variable

The following procedure shows how to enable the Prometheus plugin for AMQ Broker using an environment variable. See Section 7.2.2, “Enabling the Prometheus plugin using a CR” for an alternative procedure.

Prerequisites

You can enable the Prometheus plugin for a broker Pod created with the AMQ Broker Operator. However, your deployed broker must use the broker container image for AMQ Broker 7.7 or later.

Procedure

Log in to the OpenShift Container Platform web console with administrator privileges for the project that contains your broker deployment.
In the web console, click Home → Projects. Choose the project that contains your broker deployment.
To see the StatefulSets or DeploymentConfigs in your project, click Workloads → StatefulSets or Workloads → DeploymentConfigs.
Click the StatefulSet or DeploymentConfig that corresponds to your broker deployment.
To access the environment variables for your broker deployment, click the Environment tab.
Add a new environment variable, AMQ_ENABLE_METRICS_PLUGIN. Set the value of the variable to true.
When you set the AMQ_ENABLE_METRICS_PLUGIN environment variable, OpenShift restarts each broker Pod in the StatefulSet or DeploymentConfig. When there are multiple Pods in the deployment, OpenShift restarts each Pod in turn. When each broker Pod restarts, the Prometheus plugin for that broker starts to gather broker runtime metrics.

7.2.4. Accessing Prometheus metrics for a running broker Pod

This procedure shows how to access Prometheus metrics for a running broker Pod.

Prerequisites

You must have already enabled the Prometheus plugin for your broker Pod. See Section 7.2.3, “Enabling the Prometheus plugin for a running broker deployment using an environment variable”.

Procedure

For the broker Pod whose metrics you want to access, you need to identify the Route you previously created to connect the Pod to the AMQ Broker management console. The Route name forms part of the URL needed to access the metrics.
1. Click Networking → Routes.
2. For your chosen broker Pod, identify the Route created to connect the Pod to the AMQ Broker management console. Under Hostname, note the complete URL that is shown. For example:
```
http://rte-console-access-pod1.openshiftdomain
```
To access Prometheus metrics, in a web browser, enter the previously noted Route name appended with “/metrics”. For example:
```
http://rte-console-access-pod1.openshiftdomain/metrics
```

Note

If your console configuration does not use SSL, specify http in the URL. In this case, DNS resolution of the host name directs traffic to port 80 of the OpenShift router. If your console configuration uses SSL, specify https in the URL. In this case, your browser defaults to port 443 of the OpenShift router. This enables a successful connection to the console if the OpenShift router also uses port 443 for SSL traffic, which the router does by default.

7.3. Monitoring broker runtime data using JMX

This example shows how to monitor a broker using the Jolokia REST interface to JMX.

Prerequisites

Completion of Deploying a basic broker is recommended.

Procedure

Get the list of running pods:

$ oc get pods

NAME                 READY     STATUS    RESTARTS   AGE
ex-aao-ss-1   1/1       Running   0          14d

Run the oc logs command:

$ oc logs -f ex-aao-ss-1

...
Running Broker in /home/jboss/amq-broker
...
2021-09-17 09:35:10,813 INFO  [org.apache.activemq.artemis.integration.bootstrap] AMQ101000: Starting ActiveMQ Artemis Server
2021-09-17 09:35:10,882 INFO  [org.apache.activemq.artemis.core.server] AMQ221000: live Message Broker is starting with configuration Broker Configuration (clustered=true,journalDirectory=data/journal,bindingsDirectory=data/bindings,largeMessagesDirectory=data/large-messages,pagingDirectory=data/paging)
2021-09-17 09:35:10,971 INFO  [org.apache.activemq.artemis.core.server] AMQ221013: Using NIO Journal
2021-09-17 09:35:11,114 INFO  [org.apache.activemq.artemis.core.server] AMQ221057: Global Max Size is being adjusted to 1/2 of the JVM max size (-Xmx). being defined as 2,566,914,048
2021-09-17 09:35:11,369 WARNING [org.jgroups.stack.Configurator] JGRP000014: BasicTCP.use_send_queues has been deprecated: will be removed in 4.0
2021-09-17 09:35:11,385 WARNING [org.jgroups.stack.Configurator] JGRP000014: Discovery.timeout has been deprecated: GMS.join_timeout should be used instead
2021-09-17 09:35:11,480 INFO  [org.jgroups.protocols.openshift.DNS_PING] serviceName [ex-aao-ping-svc] set; clustering enabled
2021-09-17 09:35:24,540 INFO  [org.openshift.ping.common.Utils] 3 attempt(s) with a 1000ms sleep to execute [GetServicePort] failed. Last failure was [javax.naming.CommunicationException: DNS error]
...
2021-09-17 09:35:25,044 INFO  [org.apache.activemq.artemis.core.server] AMQ221034: Waiting indefinitely to obtain live lock
2021-09-17 09:35:25,045 INFO  [org.apache.activemq.artemis.core.server] AMQ221035: Live Server Obtained live lock
2021-09-17 09:35:25,206 INFO  [org.apache.activemq.artemis.core.server] AMQ221080: Deploying address DLQ supporting [ANYCAST]
2021-09-17 09:35:25,240 INFO  [org.apache.activemq.artemis.core.server] AMQ221003: Deploying ANYCAST queue DLQ on address DLQ
2021-09-17 09:35:25,360 INFO  [org.apache.activemq.artemis.core.server] AMQ221080: Deploying address ExpiryQueue supporting [ANYCAST]
2021-09-17 09:35:25,362 INFO  [org.apache.activemq.artemis.core.server] AMQ221003: Deploying ANYCAST queue ExpiryQueue on address ExpiryQueue
2021-09-17 09:35:25,656 INFO  [org.apache.activemq.artemis.core.server] AMQ221020: Started EPOLL Acceptor at ex-aao-ss-1.ex-aao-hdls-svc.broker.svc.cluster.local:61616 for protocols [CORE]
2021-09-17 09:35:25,660 INFO  [org.apache.activemq.artemis.core.server] AMQ221007: Server is now live
2021-09-17 09:35:25,660 INFO  [org.apache.activemq.artemis.core.server] AMQ221001: Apache ActiveMQ Artemis Message Broker version 2.16.0.redhat-00022 [amq-broker, nodeID=8d886031-179a-11ec-9e02-0a580ad9008b]
2021-09-17 09:35:26,470 INFO  [org.apache.amq.hawtio.branding.PluginContextListener] Initialized amq-broker-redhat-branding plugin
2021-09-17 09:35:26,656 INFO  [org.apache.activemq.hawtio.plugin.PluginContextListener] Initialized artemis-plugin plugin
...

Run your query to monitor your broker for MaxConsumers:

$ curl -k -u admin:admin http://console-broker.amq-demo.apps.example.com/console/jolokia/read/org.apache.activemq.artemis:broker=%22broker%22,component=addresses,address=%22TESTQUEUE%22,subcomponent=queues,routing-type=%22anycast%22,queue=%22TESTQUEUE%22/MaxConsumers

{"request":{"mbean":"org.apache.activemq.artemis:address=\"TESTQUEUE\",broker=\"broker\",component=addresses,queue=\"TESTQUEUE\",routing-type=\"anycast\",subcomponent=queues","attribute":"MaxConsumers","type":"read"},"value":-1,"timestamp":1528297825,"status":200}

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Chapter 7. Monitoring your brokers

7.1. Viewing brokers in Fuse Console

7.2. Monitoring broker runtime metrics using Prometheus

7.2.1. Metrics overview

7.2.2. Enabling the Prometheus plugin using a CR

7.2.3. Enabling the Prometheus plugin for a running broker deployment using an environment variable

7.2.4. Accessing Prometheus metrics for a running broker Pod

7.3. Monitoring broker runtime data using JMX

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Chapter 7. Monitoring your brokers

7.1. Viewing brokers in Fuse Console

7.2. Monitoring broker runtime metrics using Prometheus

7.2.1. Metrics overview

7.2.2. Enabling the Prometheus plugin using a CR

7.2.3. Enabling the Prometheus plugin for a running broker deployment using an environment variable

7.2.4. Accessing Prometheus metrics for a running broker Pod

7.3. Monitoring broker runtime data using JMX

Quick Links

Help

Site Info

Related Sites

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