
How platform engineering accelerates enterprise AI adoption
Explore how platform engineering, OpenShift, and Developer Hub create a governed, repeatable, and scalable foundation for enterprise AI.
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.
Go from a fast Jenkins pipeline to a fast and more secure one with Red Hat Advanced Developer Suite, adding signing, SBOM validation, and runtime enforcement.
Learn how to create your first Software Template for Red Hat Developer Hub and Backstage, import it into your own instance, and verify its functionality.
Discover how Red Hat Advanced Developer Suite helps developers strengthen their Jenkins CI/CD pipelines and innovate at speed.
Discover the comprehensive security and scalability measures for a Models-as-a-Service (MaaS) platform in an enterprise environment.
Learn how to build a Model-as-a-Service platform with this simple demo. (Part 3 of 4)
Explore a GitOps-based approach to standardized application delivery using OpenShift GitOps (based on Argo CD) and Red Hat Developer Hub (based on Backstage).
This article introduces Models-as-a-Service (MaaS) for enterprises, outlining the challenges, benefits, key technologies, and workflows. (Part 1 of 4)
Learn how to run vLLM on CPUs with OpenShift using Kubernetes APIs and dive into performance experiments for LLM benchmarking in this beginner-friendly guide.
Discover why Kafka is the foundation behind modular, scalable, and controllable AI automation.
Learn how to secure, observe, and control AI models at scale without code changes to simplify zero-trust deployments by using service mesh.
Learn how to scale Platform Engineering to accelerate Software Development by bringing application capabilities and resources to end users.
Learn about attestations from a neutral observer and how to make meaningful decisions about artifacts at release time, enabling flexibility and safety.
Learn how to integrate instances into an organization's identity domain using RHEL and the Red Hat Insights image builder tool (part 3 of 3).
Learn how to register IdM deployment with RHEL domain join feature (part 2 of 3).
Red Hat Developer Hub is a platform designed to streamline and enhance the
The Extensions plugin provides a streamlined interface for browsing the catalog
The Red Hat Developer program brings developers together to learn from each other and create more extraordinary things, faster. We serve the builders. Those who solve problems and create their careers with code.
This article provides ten tips to boost developer productivity by crafting better Software Templates after deploying Red Hat Developer Hub.
Discover what's new for developers in Red Hat OpenShift 4.18, including new
Welcome to the Red Hat Developer Program!