Platform engineering

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

Learn how to combine KServe and llm-d to optimize generative AI inference, improve performance, and reduce infrastructure costs. This article demonstrates the integration architecture and provides practical guidance for AI platform teams.

Discover how Red Hat optimized for human maintainability and significantly increased AI-assisted productivity by formalizing architectural constraints into machine-readable rules, custom lint rules, and deep documentation. Learn about the three layers they built and the impact on development.

Explore how Red Hat AI simplifies agent deployment with OpenClaw, showcasing model inference, safety guardrails, agent identity, and persistent state. Learn about vLLM, Llama Stack, and Models-as-a-Service (MaaS) options, and discover the benefits of agent identity and zero trust with Kagenti and AuthBridge.

Learn how to deploy multiple large language models (LLMs) behind a single OpenAI-compatible endpoint on OpenShift using a Model-as-a-Service (MaaS) approach. This guide demonstrates how to build an intelligent routing infrastructure that dynamically inspects the request payload and directs traffic based on the specified model field, reducing GPU waste and simplifying application logic.

Red Hat Developer Hub 1.9 is now generally available.

OpenShift networking moves to real routing (CUDN/BGP), eliminating NAT and Geneve tunnels for better performance, L3 integration, and full visibility.

Discover the download-only mode, a new bootc feature which provides control over when a staged update is allowed to become the active boot environment.

One conversation in Slack and email, real tickets in ServiceNow. Learn how the multichannel IT self-service agent ties them together with CloudEvents + Knative.

Headed to DevNexus? Visit the Red Hat Developer booth on-site to speak to our expert technologists.

Explore how Red Hat OpenShift AI uses LLM-generated summaries to distill product reviews into a form users can quickly process.

Learn how to use the Dynamic Plug-in Factory to build and customize Backstage plug-ins for Red Hat Developer Hub.

Headed to DeveloperWeek? Visit the Red Hat Developer booth on-site to speak to our expert technologists.

Learn how to build reproducible, container-native OS images on IBM Power Systems using bootc, from environment setup to capturing and exporting the image.

Learn how to enhance your Red Hat Developer Hub instance by building and installing your own dynamic plug-ins.

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

Learn how to install and use new MCP plug-ins for Red Hat Developer Hub that provide tools for MCP clients to interact with it.

Explore key updates in Red Hat Ansible Automation Platform 2.6, including the self-service automation portal and Ansible Lightspeed intelligent assistant.

Learn how to deploy Model Context Protocol (MCP) servers on OpenShift using ToolHive, a Kubernetes-native utility that simplifies MCP server management.

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

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

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%.

How to achieve near real-time synchronization of entities from Keycloak into the Developer Hub for an event-driven ingestion mechanism.

Accelerate the adoption of Red Hat Developer Hub with the Adoption Insights

Go beyond performance and accuracy. This guide for technical practitioners details how to implement trust, transparency, and safety into your AI workflows.