Product Documentation for Red Hat Data Grid 8.2

Data Grid Operator

• Available Formats

  • Single-page HTML
  • Multi-page HTML
  • PDF

  Data Grid Operator Guide (English)

  Create Data Grid clusters on OpenShift

• Installing Data Grid Operator (English)

  Install Data Grid Operator into a OpenShift namespace to create and manage Data Grid clusters.

• Getting started with Infinispan CR (English)

  Data Grid Operator adds a new Custom Resource (CR) of type Infinispan that lets you handle Data Grid clusters as complex units on OpenShift.

• Setting up Data Grid services (English)

  Use Data Grid Operator to create clusters of either Cache service or Data Grid service nodes.

• Configuring network access to Data Grid (English)

  Expose Data Grid clusters on the network to access the console and server endpoints.

• Configuring authentication (English)

  Application users need credentials to access Data Grid clusters. You can use default, generated credentials or add your own.

• Configuring encryption (English)

  Encrypt connections between clients and Data Grid nodes with Red Hat OpenShift service certificates or custom TLS certificates.

• Configuring client certificate authentication (English)

  Add client trust stores to your project and configure Data Grid to allow connections only from clients that present valid certificates. This increases security of your deployment by ensuring that clients are trusted by a public certificate authority (CA).

• Configuring user roles and permissions (English)

  Secure access to Data Grid services by configuring role-based access control (RBAC) for users. This requires you to assign roles to users so that they have permission to access caches and Data Grid resources.

• Setting up cross-site replication (English)

  Ensure service availability with Data Grid Operator by configuring cross-site replication to back up data between Data Grid clusters.

• Monitoring Data Grid services (English)

  Data Grid exposes metrics that can be used by Prometheus and Grafana for monitoring and visualizing the cluster state.

• Creating caches with Data Grid Operator (English)

  Use Cache CRs to add cache configuration with Data Grid Operator and control how Data Grid stores your data.

• Running batch operations (English)

  Data Grid Operator provides a Batch CR that lets you create Data Grid resources in bulk.

• Establishing remote client connections (English)

  Connect to Data Grid clusters from the Data Grid Console, Command Line Interface (CLI), and remote clients.

• Backing up and restoring Data Grid clusters (English)

  Data Grid Operator watches for custom resources (CR) that let you back up and restore Data Grid cluster state for disaster recovery or when migrating between Data Grid versions.

• Guaranteeing availability with anti-affinity (English)

  Kubernetes includes anti-affinity capabilities that protect workloads from single points of failure.

• Deploying custom code to Data Grid (English)

  Add custom code, such as scripts and event listeners, to your Data Grid clusters.

• Sending cloud events from Data Grid clusters (English)

  Send Cloud Events from Data Grid clusters to Kafka topics.