Product Documentation for Red Hat Data Grid 8.2

Get release information for Data Grid 8.2

Data Grid Operator 8.2

Red Hat supports Data Grid with specific hardware and software combinations

Get details about supported features and functionality in Data Grid 8

Review the list of components integrated with Data Grid 8

Find out about deprecated features and functionality across Data Grid releases

Create Data Grid clusters on OpenShift

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

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

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

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

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

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

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).

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.

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

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

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

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

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

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.

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

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

Send Cloud Events from Data Grid clusters to Kafka topics.

Deploy, secure, and manage Data Grid Server

Access data and manage Data Grid with the CLI

Configure and interact with the Data Grid REST API

Configure and use Hot Rod Java clients

Configure and use Hot Rod C++ clients

Configure and use Hot Rod .NET/C# clients

Configure and use Hot Rod JS clients

Hot Rod client configuration

Hot Rod Node.js client API

Run Data Grid as an embedded library

Customize, configure, and extend Data Grid

Enable and adjust Data Grid features and capabilities

Encoding Data Grid caches and marshalling Java objects

Back up data across global Data Grid clusters

Use Data Grid with your Spring Boot project

Upgrade Data Grid to 8.2

Data Grid Migration Guide

Enable and configure Data Grid security

Data Grid Javadocs

Schema reference for Data Grid 8.2

Javadocs for the ProtoStream API

JMX component reference

Code examples that demonstrate Data Grid capabilities