Red Hat OpenShift

The Red Hat OpenShift extension for Docker Desktop lets you easily deploy and test your application on OpenShift directly from Docker Desktop.

Daniel Oh's session at Summit 2022 will give tips on how to improve your life as developer.

What’s new in OpenShift Local 2.0

Gerard Braad +1

May 10, 2022

Podman is coming to OpenShift Local (formerly CodeReady Containers). Get an overview of what else to expect in the next major release.

Use Red Hat's SSO with OpenLDAP to authorize producers and consumers for Kafka in Red Hat AMQ Streams

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Red Hat Summit 2022 is approaching and here's what we will bring to the developer track.

The choices you make configuring Apache Kafka affect performance. The Kafka optimization theorem helps you find the sweet spot.

Get a look at a complete open source stack for a real-time Java streaming data application on Red Hat OpenShift Streams for Apache Kafka.

Explore the benefits of offloading OVN/OVS networking functions using NVIDIA BlueField-2 data processing units with Red Hat OpenShift.

Create, test, and deploy Java code to OpenShift in a seamless development

Containers without Docker | DevNation Tech Talk

JVM processes in containers require attention to the number of CPUs allocated and the garbage collector in use.

Discover how Eclipse JKube and a Kubernetes plugin for Maven or Gradle simplify Helm automation to create images and storage in registries. Part 1 in a series.

Observability is a set of practices that trace and troubleshoot containerized applications. Learn more about key trends and the OpenTelemetry project.

You need to make sure dependencies are installed with your Helm charts, either by using subcharts or you reusing existing Kubernetes operators.

Download Getting GitOps, a practical guide to modern development with Kubernetes focused on application distribution via CI/CD and GitOps on Red Hat OpenShift.

Use Argo CD's ApplicationSets and pull request generator with Tekton and Red Hat OpenShift tools to bring GitOps workflows into your CI/CD processes.

Get an overview of Kafka's distributed event architecture, including message streams, topics, and producing and consuming messages in a Kafka cluster.