Platform engineering

Resolve OpenShift Dev Spaces production issues, including Dynatrace conflicts and Podman regressions, with technical fixes and CI/CD automation guidelines.

Learn how to configure Red Hat OpenShift Dev Spaces for enterprise security with SCM OAuth, air-gapped registries, and PKI trust.

Explore how Red Hat AI Inference 3.5 MaaS brings multi-tenant API governance, API key authentication, and token rate limiting to LLM endpoints on AKS.

Modernize legacy apps with Red Hat migration toolkit 8.3, featuring agentic code transformation, direct storage mobility, and automated OpenShift pipelines.

Compare Jev decision models with Red Hat guardrails to evaluate AI safety performance, cost, and latency for enterprise implementation.

Measure infrastructure resilience with Krkn chaos engineering, using resiliency scores and detailed telemetry to detect version regressions in CI/CD.

Learn how to manage edge computing at scale with Red Hat solutions for secure, consistent operations across distributed environments.

Learn how to author Red Hat Developer Hub golden path templates to scaffold Go microservices and monitor Tekton, Argo CD, and Quay in a unified portal.

Discover how to deploy Red Hat Developer Hub and configure plug-ins for Argo CD and Tekton to lower cognitive load and streamline OpenShift pipelines.

Connect AI coding agents to Red Hat Developer Hub to enforce governance rules, prevent compliance violations, and ground architectural choices in your catalog.

Simplify Red Hat Developer Hub software template authoring with rhdh-templates, an agent skill for best practices and local validation.

Learn how OpenShift APIs for Data Protection (OADP) self-service lets non-admin teams back up and restore OpenShift VMs and containers without cluster-admin.

Run Kubernetes-native chaos engineering with Red Hat Advanced Cluster Management for resilience validation. Try Chaos Studio for multicluster chaos testing workflows.

See how a team upgraded Red Hat OpenShift AI 3.3.2 three to four times faster with an AI coding assistant, reducing engineering effort by 60%.

Modernize applications with Red Hat's migration toolkit 8.2, offering a standalone CLI for stateless OpenShift workloads and a built-in Hub OIDC provider.

Operationalize AI agents with OpenShift and Kubernetes primitives for manageable, cost-optimized AIOps.

Learn how to build an open cloud native architecture for AI agents. This blueprint explains how to improve workload isolation and implement inference routing.

Explore essential architectural considerations for OpenShift hosted control planes, including etcd storage, load balancing, and infrastructure planning.

Learn a workaround to upgrade RHEL version 8 to 9, using the leapp tool for systems with configured LUKS disk encryption.

Learn how to build a standard operating environment (SOE) for RHEL using Red Hat Enterprise Linux image builder and Red Hat Lightspeed content templates.

A technical guide for using the image-builder command-line interface to create a customized Red Hat Enterprise Linux 9.6 Extended Update Support (EUS) image.

Learn how to connect the EvalHub runtime to internal or external model servers using service account tokens, API keys, or custom certificates.

Learn how to integrate CyberArk with Identity Management in Red Hat Enterprise Linux (IdM) to manage and rotate credentials.

Red Hat Developer Hub 1.10 is now generally available.

Learn how Model-as-a-Service (MaaS) solves the problem of managing AI costs, security, and models for every developer in an organization.