Data Grid Operator 8.6 Release Notes


Red Hat Data Grid 8.6

Get release information for Data Grid Operator 8.6

Red Hat Customer Content Services

Abstract

Find out about features and enhancements in Data Grid Operator 8.6 as well as known and resolved issues.

Red Hat Data Grid

Data Grid is a high-performance, distributed in-memory data store.

Schemaless data structure
Flexibility to store different objects as key-value pairs.
Grid-based data storage
Designed to distribute and replicate data across clusters.
Elastic scaling
Dynamically adjust the number of nodes to meet demand without service disruption.
Data interoperability
Store, retrieve, and query data in the grid from different endpoints.

Data Grid documentation

Documentation for Data Grid is available on the Red Hat customer portal.

Data Grid downloads

Access the Data Grid Software Downloads on the Red Hat customer portal.

Note

You must have a Red Hat account to access and download Data Grid software.

Making open source more inclusive

Red Hat is committed to replacing problematic language in our code, documentation, and web properties. We are beginning with these four terms: master, slave, blacklist, and whitelist. Because of the enormity of this endeavor, these changes will be implemented gradually over several upcoming releases. For more details, see our CTO Chris Wright’s message.

Chapter 1. Data Grid Operator 8.6

Get version details for Data Grid Operator 8.6 and information about issues.

1.1. Data Grid Operator compatibility

Red Hat recommends using the latest available Data Grid Operator version to ensure access to the most recent features, security updates, and compatibility fixes.

Starting with Data Grid Operator 8.4.x (channel 8.4.x), a single Data Grid Operator version can manage multiple Data Grid cluster versions. This capability is provided through the spec.version feature, which enables you to select the Data Grid container image version for each cluster.

When deploying Data Grid with the Data Grid Operator, ensure the following compatibility considerations:

  • Operator versions: Use the latest Operator version available in the channel.
  • Supported container images: The Operator supports specific Data Grid container image versions through the spec.version feature.
  • Supported OpenShift versions: The Operator supports designated OpenShift Container Platform versions. Using the latest supported OpenShift version is recommended because earlier versions might introduce incompatibilities.

For detailed compatibility and lifecycle information, refer to the following documentation:

1.2. Data Grid Operator 8.6.0

What’s new in 8.6.0.

Data Grid Operator base image migration to Konflux-built UBI

In Red Hat Data Grid 8.6.0, the Data Grid Operator container base image has been migrated from registry.redhat.io/rhel8-osbs/osbs-ubi8-micro to registry.redhat.io/ubi9/ubi-micro.

Rolling upgrade strategy for zero-downtime upgrades

The Data Grid Operator introduces a rolling upgrade strategy to enable zero-downtime upgrades within 8.6.x clusters.

When spec.upgrades.type is set to InPlaceRolling, the Data Grid Operator upgrades nodes one at a time using a StatefulSet rolling update while the cluster remains available.

For upgrades that cannot use rolling updates, use the Shutdown strategy.

Example

apiVersion: infinispan.org/v1
kind: Infinispan
metadata:
  name: infinispan
spec:
  version: 8.6.1-1
  upgrades:
    type: InPlaceRolling

Grafana Operator version support

Grafana Operator V4 is no longer supported, and Operator automation does not work with Grafana Operator V5.

1.3. Data Grid Operator 8.6.x release information

The following table provides detailed version information for Data Grid Operator.

Note

Data Grid Operator versions do not always directly correspond to Data Grid versions because the release schedule is different.

Expand

Data Grid Operator version

Data Grid version

Operand versions

Features

8.6.0

8.6.0

8.6.0-1
8.5.5-1
8.5.4-1
8.5.3-2
8.5.3-1
8.5.2-2
8.5.2-1
8.5.1-1
8.5.0-3
8.5.0-2
8.5.0-1
8.4.8-1
8.4.7-1
8.4.6-2
8.4.6-1
8.4.5-2
8.4.5-1
8.4.4-1
8.4.3-2
8.4.3-1
8.4.2-1
8.4.1-3
8.4.1-2
8.4.1-1
8.4.0-2
8.4.0-1

Includes several bug fixes.

Chapter 2. Known and fixed issues

Learn about known issues for Data Grid Operator and find out which issues are fixed.

This section describes issues that affect Data Grid clusters that you manage with Data Grid Operator. For complete details about Data Grid, see the Data Grid 8.6 release notes.

Invalid algorithm scram-sha-256 on FIPS-enabled OpenShift

Issue: JDG-7811

Description: On FIPS-enabled OpenShift clusters, the Data Grid Operator fails to retrieve cluster status and cannot set the WellFormed condition. The issue occurs because scram-sha-256 is configured as a SASL mechanism for the Operator connector, and the underlying OpenJDK disables this algorithm. This results in broken communication between the Data Grid Operator and servers.

Workaround: There is no workaround for this issue.

Chapter 3. Data Grid on OpenShift

3.1. Data Grid 8.6 images

Data Grid 8.6 includes two container images, the Data Grid Operator image and Data Grid Server image.

Data Grid images are hosted on the Red Hat Container Registry, where you can find health indexes for the images along with information about each tagged version.

Custom Data Grid Deployments

Red Hat does not support customization of any 8.6 images from the Red Hat Container Registry through the Source-to-Image (S2I) process or ConfigMap API.

As a result it is not possible to use custom:

  • Discovery protocols
  • JGroups SYM_ENCRYPT or ASYM_ENCRYPT encryption mechanisms

3.2. Embedded caches on OpenShift

Using embedded Data Grid caches in applications running on OpenShift, which was referred to as Library Mode in previous releases, is intended for specific uses only:

  • Using local or distributed caching in custom Java applications to retain full control of the cache lifecycle. Additionally, when using features that are available only with embedded Data Grid such as distributed streams.
  • Reducing network latency to improve the speed of cache operations.

The Hot Rod protocol provides near-cache capabilities that achieve equivalent performance to a standard client-server architecture.

Requirements

Embedding Data Grid in applications running on OpenShift requires you to use a discovery mechanism so Data Grid nodes can form clusters to replicate and distribute data.

Red Hat supports only DNS_PING as the cluster discovery mechanism.

DNS_PING exposes a port named ping that Data Grid nodes use to perform discovery and join clusters. TCP is the only supported protocol for the ping port, as in the following example for a pod on OpenShift:

spec:
  ...
  ports:
    - name: ping
      port: 8888
      protocol: TCP
      targetPort: 8888

Limitations

Embedding Data Grid in applications running on OpenShift also has some specific limitations:

  • Persistent cache stores are not currently supported.
  • UDP is not supported with embedded Data Grid.

Custom caching services

Red Hat highly discourages embedding Data Grid to build custom caching servers to handle remote client requests. To benefit from regular, automatic updates with performance improvements and fix security issues, you should create Data Grid clusters with the Data Grid Operator instead.

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