DevOps

Scale agentic AI with Red Hat’s trusted software factory. Use Policy as Code and SBOMs to strengthen your development pipeline and manage software provenance.

Learn how Red Hat Hybrid Cloud Console uses a single data layer to serve the access management interface at runtime, Storybook mocks during development, and a standalone CLI that seeds and cleanses real test environments.

Learn how Kagenti ADK, an open source toolkit, handles the complexities of managing production AI agents. It aligns with the Linux Foundation's Agent2Agent (A2A) protocol and provides a set of runtime services for easier deployment and operation.

Learn how Red Hat made Storybook a verification engine for the access management interface on Red Hat Hybrid Cloud Console.

Learn how to build and push .NET container images in Tekton pipelines without a Dockerfile. See how the dotnet-publish-image task simplifies your CI/CD workflow.

Learn how we replaced an entire React application while keeping the original version running in production. Discover the key architectural decisions that ensured success.

Explore the four pillars of AI coding: vibes, secs, skills, and agents, and learn how they can improve the coding quality and reduce the encoding/decoding gap. Discover the benefits of a spec-driven approach and the importance of modular specs and skills in achieving harmony.

Announcing the Red Hat Advanced Cluster Management 2.16 general availability (GA) of namespace and virtualization right-sizing recommendations.

Learn how to build agentic AI workflows using cicaddy and MCP servers directly in your existing CI pipeline.

Explore the latest features in Network Observability 1.11, an operator for Red Hat OpenShift and Kubernetes that provides insights into your network traffic flows.

This article provides a complete CI/CD workflow utilizing Openshift Dev Spaces, GitOps, and OpenShift Pipelines.

Red Hat OpenShift 4.21 introduces AI-driven insights, automated security signing, and local development tools to help you build and deploy faster.

Use fault tree analysis and the PIOSEE framework to troubleshoot Red Hat OpenShift and middleware problems and make informed decisions with AI tools.

Learn Red Hat OpenShift application development basics in this hands-on book, complete with practical recipes and tips to enhance your OpenShift experience.

Explore the latest features in network observability 1.10, an operator for Red Hat OpenShift and Kubernetes that provides insights into your network traffic flows.

Automate amazon.ai workflows with Ansible: Deploy Bedrock agents, generate personalized content, and monitor resources with DevOps Guru for auditability.

Learn about the right-sizing recommendations for OpenShift Virtualization with Red Hat Advanced Cluster Management.

Learn about the benefits of using cgroups v2 for improved memory and CPU settings in Java and Node.js applications in Red Hat OpenShift.

Learn how to share an NVIDIA GPU with an OpenShift Local instance to run containerized workloads that require GPU acceleration without a dedicated server.

We are pleased to announce the general availability of Red Hat Developer Hub

Your Red Hat Developer membership unlocks access to product trials, learning resources, events, tools, and a community you can trust to help you stay ahead in AI and emerging tech.

Krkn-AI automates AI-assisted, objective-driven chaos testing for Kubernetes. Discover how it addresses the challenges of reliability in modern systems.

Learn how to address the limitations of Kubernetes in handling storage and secondary network issues for virtual machine use cases.

Dive into Node.js 20's container-aware memory management. Understand default heap sizing, how to override it, and troubleshooting memory leaks.

Learn how to scale machine learning operations (MLOps) with an assembly line approach using configuration-driven pipelines, versioned artifacts, and GitOps.