OpenShift version 4.14 now available in Red Hat OpenShift on IBM Cloud

We are excited to announce the availability of OpenShift version 4.14 for your clusters that are running in Red Hat OpenShift on IBM Cloud. This is our 13th release of OpenShift. With our OpenShift service, you can easily upgrade your clusters without the need for deep OpenShift knowledge. When you deploy new clusters, the default OpenShift version remains 4.13 (soon to be 4.14); you can also choose to immediately deploy version 4.14. Learn more about deploying clusters here.

OpenShift version 4.14

In addition to all the great OpenShift features provided in this release, Red Hat OpenShift on IBM Cloud version 4.14 also includes numerous component updates. See the Red Hat OpenShift on IBM Cloud version 4.14 change log for details.

OpenShift version support updates

Now that Red Hat OpenShift on IBM Cloud supports OpenShift version 4.14, clusters running version 4.11 are deprecated with end of support tentatively scheduled for 6 March 2024. It is important to note clusters that run a deprecated OpenShift version may not receive fixes for security vulnerabilities until they are updated to a supported version.

As a reminder, if your cluster runs a deprecated or unsupported OpenShift version, review the potential impact of each OpenShift version update, and update today. If your cluster runs an archived OpenShift version, create a new cluster and deploy your apps to the new cluster.

Here is the current support status for Red Hat OpenShift on IBM Cloud clusters running an earlier OpenShift version:

Clusters running OpenShift version 4.10 remain deprecated with end of support tentatively scheduled for 31 January 2024. Such clusters may not receive fixes for security vulnerabilities until they are updated to a supported version.
Clusters running OpenShift version 4.9 remain unsupported with end of support reached on 30 September 2023. Such clusters will not receive fixes for security vulnerabilities until they are updated to a deprecated or supported version.
Clusters running OpenShift version 4.8 or earlier remain archived. For security reasons, IBM reserves the right to shut down the control planes of such clusters.

For general questions, engage our team via Slack by registering here and join the discussion in the #general or #openshift channels on our public Slack.

Tags

Red Hat OpenShift on IBM Cloud

Elvin Galarza

Technical Product Manager

A major upgrade to Db2® Warehouse on IBM Cloud®

2 min read - We’re thrilled to announce a major upgrade to Db2® Warehouse on IBM Cloud®, which introduces several new capabilities that make Db2 Warehouse even more performant, capable, and cost-effective. Here's what's new Up to 34 times cheaper storage costs The next generation of Db2 Warehouse introduces support for Db2 column-organized tables in Cloud Object Storage. Db2 Warehouse on IBM Cloud customers can now store massive datasets on a resilient, highly scalable storage tier, costing up to 34x less. Up to 4 times…

Manage the routing of your observability log and event data

4 min read - Comprehensive environments include many sources of observable data to be aggregated and then analyzed for infrastructure and app performance management. Connecting and aggregating the data sources to observability tools need to be flexible. Some use cases might require all data to be aggregated into one common location while others have narrowed scope. Optimizing where observability data is processed enables businesses to maximize insights while managing to cost, compliance and data residency objectives. As announced on 29 March 2024, IBM Cloud® released its next-gen observability…

The recipe for RAG: How cloud services enable generative AI outcomes across industries

4 min read - According to research from IBM®, about 42% of enterprises surveyed have AI in use in their businesses. Of all the use cases, many of us are now extremely familiar with natural language processing AI chatbots that can answer our questions and assist with tasks such as composing emails or essays. Yet even with widespread adoption of these chatbots, enterprises are still occasionally experiencing some challenges. For example, these chatbots can produce inconsistent results as they’re pulling from large data stores…