Product Documentation for Red Hat Data Grid 8.3

Data Grid Operator

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  Data Grid Operator ガイド

  OpenShift での Data Grid クラスターの作成

• Data Grid Operator (English)

  Data Grid Operator provides operational intelligence and reduces management complexity for deploying Data Grid on Red Hat OpenShift.

• Installing the native Data Grid CLI as a client plugin (English)

  Data Grid provides a command line interface (CLI) compiled to a native executable that you can install as a plugin for oc clients.

• Installing Data Grid Operator (English)

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

• Creating Data Grid clusters (English)

  Create Data Grid clusters running on OpenShift with the Infinispan CR or with the native Data Grid CLI plugin for oc clients.

• Configuring Data Grid clusters (English)

  Apply custom Data Grid configuration to clusters that Data Grid Operator manages.

• Upgrading Data Grid clusters (English)

  Data Grid Operator handles Data Grid cluster upgrades when new versions become available.

• Setting up Data Grid services (English)

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

• Configuring authentication (English)

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

• 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.

• Configuring encryption (English)

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

• Configuring user roles and permissions (English)

  Secure access to Data Grid services by configuring role-based access control (RBAC) for users.

• Configuring network access to Data Grid (English)

  Expose Data Grid clusters so you can access Data Grid Console, the Data Grid command line interface (CLI), REST API, and Hot Rod endpoint.

• Setting up cross-site replication (English)

  Ensure availability with Data Grid Operator by configuring geographically distributed clusters as a unified service.

• Monitoring Data Grid services (English)

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

• Guaranteeing availability with anti-affinity (English)

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

• 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.

• Backing up and restoring Data Grid clusters (English)

  Data Grid Operator lets you back up and restore Data Grid cluster state for disaster recovery and to migrate Data Grid resources between clusters.

• 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)

  Configure Data Grid as a Knative source by sending CloudEvents to Apache Kafka topics.

• Establishing remote client connections (English)

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