Red Hat OpenShift

Discover the simplicity of containerizing your application with Buildah and...

Learn how to configure and run an application with OpenShift Service Mesh in this 4-step demonstration.

Modern cloud-native applications are incredibly complex systems. Keeping the systems healthy and meeting SLAs for our customers is crucial for long-term success. In this session, we will dive into the three pillars of observability - metrics, logs, tracing - which form the foundation of successful troubleshooting in distributed systems. You'll learn the gotchas and pitfalls of rolling out the OpenTelemetry stack on Kubernetes to effectively collect all your signals without worrying about a vendor lock in. Additionally we will replace parts of the Prometheus stack to scrape metrics with OpenTelemetry collector and operator.

Mike Guerette looks back on the developer blog's humble beginnings and shares his top 5 content picks from the past decade.

Is your computer getting tired from running multiple kind clusters? Learn how to run remote clusters as if they were local.

Learn how to build SaaS on a compute platform that scales in response to demand using autoscalers. (Part 9 of 9)

How to manage Kubernetes applications on Red Hat OpenShift using basic command-line and graphical tools.

The Node.js team at Red Hat looks back on their work in 2022, from Kube Service

Learn how to program Kubernetes REST API in Java using Fabric8 Kubernetes client in this quick demonstration. (Part 1 of 5)

Red Hat services work well with open source tools. See how to use a popular Kafka management console with Red Hat OpenShift Streams for Apache Kafka.

Red Hat architecture and design patterns

The developers of Operators have found a new, flexible technique for allowing application developers to alter Operator behavior.

Learn the components of the control plane and workers nodes, along with Kubernetes resources that developers should know.

Get an overview of the GitOps principles and learn why they are essential for new IT projects in this excerpt from the GitOps Cookbook.

Apache Kafka is an open-source distributed streaming platform used for stream processing, real-time data pipelines, and data integration at scale. SQL (Structured Query Language) is a standardized programming language that is used to manage relational databases and perform various operations on their data. This first article in a series of three describes how we can leverage on ksqlDB to process Apache Kafka streams using the industry standard SQL query language.