Containers and Kubernetes play a key role for modern application development, supporting new business models around edge, IoT and AI/ML. Despite all of this, there are still some barriers to even faster adoption of enterprise open source. In EMEA specifically these center around concerns with level of support, compatibility with legacy systems and lack of internal skills.
Red Hat OpenShift 4.8 helps organizations accelerate the creation of new cloud-native applications without abandoning existing environments and IT investments.
Kubernetes has removed several APIs from version 1.22. Any Operators utilizing these deprecated APIs will not work on OpenShift 4.9+ (or any cluster vendor utilizing Kubernetes 1.22) and will block your
Red Hat OpenShift 4.10 adds new capabilities in support of AI, along with NVIDIA AI Enterprise 2.0 certification to help streamline development and fuel innovation around intelligent applications
Beginning with Kubernetes 1.16, the Kubernetes project periodically deprecates and removes APIs from the platform in order to maintain a clean, high functioning set of APIs.
Red Hat OpenShift 4.11 is now generally available, incorporating many enhancements such as hosted control planes, improved pod security options, better support for air-gapped environments, deeper observability via the web console, among others.
Red Hat OpenShift 3.11 officially reached its end of maintenance support on June 30, 2022. Now that OpenShift 3 has moved into the end of the maintenance support phase – it’s time for your customers to migrate.
If your journey involves upskilling on Red Hat OpenShift, there are several courses that have been updated in the portal for your specific job roles and responsibilities.
In a previous blog post we discussed some of the general details around what customers using Red Hat OpenShift 3 need to do to migrate to Red Hat OpenShift 4. In this post, we’ll dig a little deeper into steps needed to properly complete this migration in an effective and efficient manner.
We explore how to alleviate uncertainty on the subject of why or how to utilize on distribution method over another when certifying your container images, Helm charts or operators for OpenShift.
Red Hat is proud to announce the release of Red Hat OpenShift 4.14 to help further simplify infrastructure complexities and application development for DevOps and security teams.
Elevate your understanding of Red Hat OpenShift Virtualization — from basic concepts all the way to advanced implementations — by using our new learning and resource guide.
Learn how OpenShift Partner Labs and Red Hat OpenShift Service on AWS use distributed CI pipelines to automate, streamline, and enhance the certification process.
In this blog post, we will share some recommendations and good practices followed by the Telco Partner CI team for partners and internal Red Hat teams working with these partners to prepare OpenShift workloads for certification. The suggested process or workflow can be easily replicated in the collaboration between partners and Red Hat teams. We will show you, as part of the implementation of this workflow, how you can automate the report and analysis of preflight and CNF Certification tests launched with Distributed-CI (DCI) using spreadsheets to gather all the results and to check the evolution of the tests results. These tools would be eventually useful for Red Hat teams to follow up the certification process with the partner and also to justify exception requests based on what is observed in the support tools.
In this post, we guide you through the process of requesting an OpenShift lab. You’ll find all the steps clearly outlined to ensure a smooth and efficient experience. We cover the requirements, timelines, and key information needed for successful lab setup, along with tips for making the most out of your lab time
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About Red Hat
We’re the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes. We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge.