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RedHat has announced the general availability of Red Hat OpenShift 4.15, based on Kubernetes 1.28 and CRI-O 1.28. Red Hat OpenShift is an application platform that allows developers and DevOps to build, and deploy applications.

This release introduces some changes for application build like the Red Hat Developer Hub operator, the Integration of role-based access controls (RBAC) via the web interface, the migration to the new Backstage backend system, and the support for viewing installed plugins through the web interface and the compatibility with Azure Kubernetes Services (AKS) and Elastic Kubernetes Services (EKS) for installation.

Red Hat OpenShift Local lets users set up a mini OpenShift cluster on their local machine. This mimics a cloud development environment, providing all the tools you need to build container-based applications.

The versions 2.31 of OpenShift Local, built upon OpenShift 4.14.7, Podman 4.4.4, and MicroShift 4.14.7, benefit from several enhancements:

• Windows GUI Launcher: A new helper tool (win32-background-launcher) simplifies starting OpenShift Local as a background service on Windows machines.
• Bug Fixes: This update addresses issues encountered during daemon initialization.
• Admin Helper Update: The admin-helper tool has been upgraded to version 0.5.2.
• Libvirt Driver Update: OpenShift Local 2.32 uses an updated crc-libvirt-driver (version 0.13.7).

Red Hat OpenShift Dev Spaces offers a web-based development environment tailored for Red Hat OpenShift. The latest release: Red Hat OpenShift Dev Spaces 3.11, built on Eclipse Che 7.80 and compatible with OpenShift versions 4.11 to 4.14, empowers cluster admins with enhanced access management capabilities and supports Microsoft Visual Studio Code extensions utilizing OAuth2 authorization code flow. Moreover, it defaults to Java 17 in the universal developer image and streamlines workspace configuration for various Git providers. Similarly, Red Hat OpenShift Dev Spaces 3.12, based on Eclipse Che 7.82, extends the collaborative environment by enabling the sharing of certificates, secrets, and configuration files across users. This release also enhances flexibility by allowing the override of the editor’s image using dedicated URL parameters and introduces support for running Che-Code editor in the Red Hat Universal Base Image 9. Explore the Dev Spaces v3.12 release notes for detailed insights.

The OpenShift Toolkit IDE extension by Red Hat enhances the development experience by facilitating code deployment to OpenShift directly from Visual Studio Code and IntelliJ. This extension integrates seamlessly with OpenShift Serverless Functions, improves Helm Chart deployment, and offers convenient access to Developer Sandbox environments from within the IDE. Explore the extension’s features to boost productivity in your development workflow.

OpenShift Serverless, providing autoscaling and networking for containerized microservices and functions, unveils version 1.32, featuring Knative 1.11. This release introduces Knative Eventing monitoring dashboards, on-cluster function building for IBM P/Z, and custom CA bundle injection for system components. Additionally, it offers new capabilities in technology preview, including Go language support for Serverless Functions and enhanced trigger filters for Event-driven apps. Dive into the release notes for a comprehensive overview of its features.

Red Hat’s migration toolkit for applications 7.0 offers support for multiple languages, enhanced rules syntax, automated classification, and dynamic reporting capabilities. Container images for OpenShift now include Node.js 20, while Java 21 builder and runtime container images are also available. Quarkus 3.8 will introduce Redis 7.2 support, Java 21 support, Arm native support, and OpenSearch Dev services. Additionally, Spring Boot 3.1.x and 3.2.x have been tested and verified for runtimes on OpenShift.

Red Hat OpenShift GitOps allows administrators to configure and deploy Kubernetes infrastructure and applications across various clusters and development life cycles. With the release of OpenShift GitOps 1.11, leveraging Argo CD 2.9.2, users gained access to dynamic shard rebalancing in Technology Preview mode alongside other new capabilities. In the subsequent release, OpenShift GitOps 1.12, built on Argo CD 2.10, users can enjoy several additions, including introducing an Argo CD CLI in technology preview. For an extensive overview of all the new features, refer to the “What’s new in Red Hat OpenShift GitOps 1.12” documentation.

OpenShift Pipelines stands as a cloud-native continuous integration and continuous delivery (CI/CD) solution rooted in Kubernetes, streamlining deployments across multiple platforms by abstracting away implementation complexities. The latest version, Openshift Pipelines 1.14.0, powered by Tekton 0.56, introduces a new web console plugin in technology preview, enabling users to visualize pipeline and task execution statistics. Additionally, it embraces Pipeline as a Code methodology to interface with multiple GitHub instances.

OpenShift Service Mesh 2.5, built on Istio 1.18 and Kiali 1.73, users can expect a host of enhancements:

• General Availability support for Arm clusters, broadening compatibility.
• Expanded observability integrations with the inclusion of Zipkin, OpenTelemetry, and envoyOtelAls extension providers.
• General Availability status for the OpenShift Service Mesh Console plug-in, enhancing management capabilities.
• Developer Preview features including IPv4/IPv6 dual-stack support and the Kiali Backstage plug-in for Red Hat Developer Hub.
• Updated Developer Preview of the Service Mesh 3 Kubernetes Operator (or the Sail Operator), offering improved functionality.

The Red Hat build of OpenTelemetry, based on the OpenTelemetry framework, simplifies telemetry data collection for cloud-native software. Version 3.1 (based on OpenTelemetry 0.93.0) introduces support for the target allocator in the OpenTelemetry Collector. This feature optimizes Prometheus receiver scrape target allocation across deployed OpenTelemetry Collector instances and integrates seamlessly with Prometheus PodMonitor and ServiceMonitor custom resources.