Developer Tools

Enhance your Python AI applications with distributed tracing. Discover how to use Jaeger and OpenTelemetry for insights into Llama Stack interactions.

In this video, Calvin Lee demonstrates how to migrate from Fluentd to Vector.

Discover how Camel JBang's infra command simplifies local development by launching real back ends like Kafka and Artemis, eliminating complex mock setups.

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

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.

The Red Hat Performance & Scale team developed a robust network policy workload

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

This video demonstrates the scaling of an object used in a custom metric autoscaler. It depicts the example described in this article: https://developers.redhat.com/articles/2025/06/13/boost-ai-efficiency-gpu-autoscaling-using-keda-openshift#.

Learn how to configure secure service-to-service authentication within Red Hat Developer Hub.

Learn about the advantages of prompt chaining and the ReAct framework compared to simpler agent architectures for complex tasks.

Discover how Bunsen tracks and analyzes large and busy upstream projects.

This beginner's guide to Podman AI Lab walks through setting up Podman Desktop, installing the AI Lab extension, and launching your first RAG chatbot.

Learn how to perform a canary upgrade for Red Hat OpenShift Service Mesh 3.0 using Kiali's mesh page to track namespaces during migration.

The Red Hat Enterprise Linux for Business Developers subscription offers access to RHEL software for development and test use cases in business environments.

This video shows how the Krkn Chaos Dashboard lets users run chaos experiments by filling out a form, starting the experiments, and viewing real-time logs. It also covers how users can save their experiment settings.

Discover what's missing in your GitHub pull requests or GitLab merge requests and the advantages of automatically merging GitHub pull requests.

Learn how to run MicroShift as a container for inner loop testing of Kubernetes applications, using MINC.

Explore using RamaLama to run private AI inference in cloud development environments and improve productivity. Follow this tutorial to get started.

Enhance your Node.js AI applications with distributed tracing. Discover how to use Jaeger and OpenTelemetry for insights into Llama Stack interactions.

The RHEL VMs extension for Podman Desktop streamlines RHEL access for Windows and Mac, bringing intuitive VM creation, management, and terminal integration.

Podman enables developers to run Linux containers on MacOS within virtual machines, including GPU acceleration for improved AI inference performance.

This article provides an explanation of a few advanced debugging techniques using GDB's reverse debugging capabilities.

Learn how Podman AI Lab and RamaLama work together to simplify local AI model execution, using containers and GPU support for faster, easier AI development.

Headed to WeAreDevelopers World Congress 2025? Visit the Red Hat Developer booth on-site to speak to our expert technologists.