GitOps

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.

Found a bug? Have new features would like to propose? You don't want to miss this tutorial on how to create them on GitHub in the community. In this video, we will be walking through how to create a GitHub issue to report bugs or suggest any features you would like to propose.

Scale GitOps across your fleet. Use Red Hat Advanced Cluster Management labels with ApplicationSets & Helm to manage conditional, multi-cluster deployments.

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.

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

Learn how to use Ansible to automate and manage Red Hat Advanced Cluster Management policies for multicluster Kubernetes environments.

Learn how to create a service for building golden Windows images for Red Hat OpenShift Virtualization with this guide.

OpenShift GitOps 1.17 has been released, find out about all of the new exciting

Enterprise-grade artificial intelligence and machine learning (AI/ML) for

Argo CD monitors resources it deploys with a rich set of out-of-the-box health

Learn how OpenShift Virtualization streamlines VM operations, improves security and observability, and delivers cloud-native agility to virtual infrastructures.

Learn how to build and manage execution and decision environments natively on OpenShift, orchestrated with Ansible Automation Platform.

Catch up on the most popular articles published on Red Hat Developer this year. Get insights on Linux, AI, Argo CD, virtualization, GCC 15, and more.

Learn how to manage and configure your Argo CD instances and start deploying applications. (Part 2 of 2)

Explore the architecture of a Models-as-a-Service (MaaS) platform and how enterprises can create a secure and scalable environment for AI models. (Part 2 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).

Explore a multi-cluster approach for automating application and infrastructure component deployments using OpenShift. (Part 1 of 2)

Automate golden image creation and distribution for virtual machines across clusters using OpenShift Pipelines, OpenShift Virtualization, and OpenShift GitOps.

Simplify operator management on Red Hat OpenShift with Operator Lifecycle Manager. Learn key scenarios using the ClusterExtension API with copy-paste examples.

If you are new to OpenShift GitOps and Argo CD, this article walks you through

This Red Hat solution pattern implements key aspects of a modern IoT/edge architecture in an exemplary manner. It uses Red Hat OpenShift Container Platform and various middleware components optimized for cloud-native use. This enterprise architecture can serve as a foundation for an IoT/edge hybrid cloud environment supporting various use cases like over-the-air (OTA) deployments, driver monitoring, AI/ML, and others. Bobbycar aims to showcase an end-to-end workflow, from connecting in-vehicle components to a cloud back-end, processing telemetry data in batch or as stream, and training AI/ML models, to deploying containers through a DevSecOps pipeline and by leveraging GitOps to the edge.

Explore how Red Hat Developer Hub and OpenShift AI work together with OpenShift to build workbenches and accelerate AI/ML development.

OpenShift GitOps 1.16 has been released, find out about all of the new exciting

Learn about writing and debugging policies on a local machine and advanced templating available in recent Advanced Cluster Management releases (part 3 of 3).