System Design

Learn about the Apache Kafka's KRaft protocol, a consensus algorithm that ensures fault tolerance and consistency in a network of interconnected nodes.

Learn how the 3-way merge works in Red Hat Enterprise Linux image mode, and explore how bootc and OSTree merge local /etc files with new images.

Learn how to optimize Kafka consumption from remote storage. Explore 2 critical problems, their solutions, and tuning advice for remote data consumption.

Learn how to orchestrate disaster recovery for Red Hat OpenShift Virtualization with Kubernetes-native constructs and GitOps workflows.

Learn how to overcome compatibility challenges when deploying OpenShift AI and OpenShift Service Mesh 3 on one cluster.

Learn how to secure, observe, and control AI models at scale without code changes to simplify zero-trust deployments by using service mesh.

Learn about the benefits and security features of image mode for Red Hat Enterprise Linux, including zero-drift supply chain.

This article explains how a new feature in Red Hat Container Platform 4.17 enhances control plane resilience.

An examination of the impact of VXLAN encapsulation on throughput and CPU consumption.

Learn how to make informed choices about versioning container images.

Learn how to manage workloads using image mode for RHEL and set up a build pipeline to automate building, deploying, and managing Linux systems at scale.

Get an overview of VRF domains on Linux and how they work in combination with other networking stack features.

In today's fast-paced IT landscape, the need for efficient and effective

This guide helps you understand OpenShift audit logs and classify them based on the resource involved and the action performed.

Join Red Hat Developer for the software and tutorials to develop cloud applications using Kubernetes, microservices, serverless and Linux.

When the microservices architecture began replacing monolithic architecture, it

Explore the differences between Red Hat OpenShift Service Mesh and Red Hat Service Interconnect for effectively running applications across OpenShift clusters.

Clean architecture enables you to build more robust, adaptable software. This example showcases key concepts and patterns involved in implementation.

In this preview of a 2022 Red Hat Summit talk, Jim Tyrrell breaks down the top five things to think about for modern Java microservices developers.

Build and deploy a sample Java application using Quarkus, then see how to integrate it with Red Hat OpenShift Application Services.

Explore different ways to use the Apache Camel integration framework for faster service delivery and management automation in this introduction.

Is a monolithic Kafka cluster architecture the best design for your use case? Explore the benefits and challenges of a multiple Kafka cluster, then decide.

Turn to Quarkus when you're using JPA to manage persistent objects in applications. The Hibernate ORM extension simplifies the persistent layer implementation.

Find out how to conveniently measure the performance of backend applications, or microservices, running on Kubernetes or OpenShift, and learn how to use Vegeta.