DevOps

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.

Learn how to configure, trigger, and monitor a circuit breaker using Red Hat OpenShift Service Mesh 3.0 to build resilient and fault-tolerant applications.

Deploy DialoGPT-small on OpenShift AI for internal model testing, with step-by-step instructions for setting up runtime, model storage, and inference services.

Discover a declarative, policy-driven approach to solve the challenges of manual certificate management in OpenShift with cert-manager and Venafi.

Explore on-cluster image mode on OpenShift, a cloud-native approach to operating system management that treats your OS exactly like a container image.

Provision, configure, and manage private EC2 instances using Terraform and Red Hat Ansible Automation Platform with the amazon.aws.aws_ssm connection plug-in.

Learn how to integrate Ansible Automation Platform with Red Hat Advanced Cluster Management for centralized authentication across multiple clusters.

Explore the latest features in network observability 1.9, an operator for OpenShift and Kubernetes that provides insights into your network traffic flows.

Explore how platform engineering, OpenShift, and Developer Hub create a governed, repeatable, and scalable foundation for enterprise AI.

This article demonstrates how to create enterprise-ready deployments of Microsoft Azure Red Hat OpenShift using Terraform.

Learn how a pattern engine plus a small LLM can perform production-grade failure analysis on low-cost hardware, slashing inference costs by over 99%.

Learn how the 3-way merge works in Red Hat Enterprise Linux image mode, and explore how bootc and OSTree merge local /etc files with new images.

Set up an end-to-end CI/CD workflow by integrating Azure DevOps with Red Hat Developer Hub, featuring Azure Entra ID and Developer Hub plug-ins.