Platform engineering

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.

Discover the major updates to Paketo Buildpacks, including the addition of Universal Base Image 9 and 10 builders, along with support for multi-architecture builds.

Prevent OOM crashes in controller-runtime operators. Learn how to filter your Kubernetes informer cache to stop ConfigMap-driven denial-of-service attacks.

Learn about the five primary structural challenges in enterprise AI evaluation and how EvalHub addresses them with a unified foundation for AI evaluation.

Introducing the tech preview of Pacemaker HA Agent v2, the next evolution of SQL Server HA on RHEL, focusing on faster, smarter, and more reliable failovers.

Learn how Red Hat AI can help address the security challenges of AI agents in production, from semantic malware to container escapes.

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 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.