Application modernization

Learn to modernize enterprise Java for Kubernetes using the four-path framework. Explore cloud-native patterns like Sidecars, Sagas, and RAG to build resilient, AI-ready systems.

Discover how Red Hat optimized for human maintainability and significantly increased AI-assisted productivity by formalizing architectural constraints into machine-readable rules, custom lint rules, and deep documentation. Learn about the three layers they built and the impact on development.

Learn how to deploy a Podman Quadlet container fully in the Red Hat Enterprise Linux web console. This guide covers creating a Quadlet configuration file, reloading systemd units, and managing the container in the Cockpit Podman plug-in.

Learn how to optimize memory usage of operators built with controller-runtime, especially in large production clusters, by understanding the caching behavior and tuning it effectively to avoid out of memory errors (OOM).

Learn how to reproduce Hummingbird images using cosign and podman. This process ensures software supply chain security by verifying the image's bit-for-bit identity. Discover the steps to rebuild a Hummingbird image and maintain reproducibility.

Learn how Dynamic Resource Allocation (DRA) in OpenShift 4.21 fundamentally changes how GPU and accelerator resources are requested, allocated, and shared across your cluster. This post covers what DRA is, why it matters, what's new in OpenShift 4.21, and how to use it with real examples running on an OpenShift 4.21 cluster with NVIDIA A100 GPUs.

Learn how to deploy and maintain OpenShift in fully disconnected environments, including challenges, operational considerations, and best practices for a defined operational cadence and the mirror factory pattern.

Learn how enabling PSI on Red Hat OpenShift 4.21 can reveal hidden bottlenecks, explain resource contention, support better resource sizing, and improve debugging of resource starvation. This article shares performance evaluation results for enabling PSI at scale, including its impact on Prometheus memory usage.

The Dynamic Scoring Framework is an open source project that helps automate cluster scoring based on Prometheus metrics for intelligent workload distribution in multi-cluster environments. It acts as a bridge between your monitoring system and the Placement API, continuously evaluating clusters and updating their scores. The framework consists of three key components: DynamicScorer, DynamicScoringConfig, and DynamicScoringAgent.

Learn how to simplify your transition from VMware vSphere 8 with Red Hat OpenShift. Discover the benefits of OpenShift Virtualization, including reduced operational costs, consistency and compliance, performance optimization, and a modernization path.

Learn how to migrate managed clusters from one Red Hat Advanced Cluster Management for Kubernetes hub to another with the release of Red Hat Advanced Cluster Management for Kubernetes 2.15 and Multicluster Global Hub 1.6.0. This article provides a specific example and steps for the migration process.

Learn how Red Hat's contextual SBOM pattern solves the problem of understanding package provenance in container images by establishing relationships between container images and their parent and builder images within the software supply chain. Improve vulnerability management with this hierarchical view.

Learn how to use Crane to automatically convert your OpenShift BuildConfig resources to Builds for Red Hat OpenShift.

Learn how to run privileged commands in OpenShift Dev Spaces cloud development environments more securely, using OpenShift sandboxed containers (Kata containers).

Explore new features in Red Hat JBoss EAP XP 6, including upgrades to MicroProfile 7, MicroProfile LRA and multi-app support, and observability tools.

Celebrate our mascot Repo's first birthday with us as we look back on the events that shaped Red Hat Developer and the open source community from the past year.

Dive into the Q3’25 edition of Camel integration quarterly digest, covering the

Learn how to configure, trigger, and monitor a circuit breaker using Red Hat OpenShift Service Mesh 3.0 to build resilient and fault-tolerant applications.

Integrate the Kubernetes MCP server with OpenShift and VS Code to give AI assistants a safe, intelligent way to interact with your clusters.

Provision, configure, and manage private EC2 instances using Terraform and Red Hat Ansible Automation Platform with the amazon.aws.aws_ssm connection plug-in.

Explore new features in the JBoss EAP 8.1 release, including bootable JARs, self

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

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.

Learn how to migrate managed clusters in Red Hat Advanced Cluster Management 2.13 with this step-by-step guide.

Install OpenShift Container Platform with confidential nodes using AMD SEV-SNP and Intel TDX-enabled confidential virtual machines on Google Cloud Platform.