
Design, implement, and maintain scalable lakehouse architectures using Apache Spark, Kafka, Flink, Delta Lake, AWS, and open-source tools. Enhance data potential through advanced analytics and machine learning.

Explore distributed tracing with OpenTelemetry on Kubernetes for effective troubleshooting and observability in complex cloud-native applications.

Simplify cloud-native app development with OpenShift & Serverless Functions extension. Create, debug, and deploy applications on hybrid-cloud infrastructure using VS Code and IntelliJ. Explore serverless functions with Knative integration.

Discover how OpenShift Database Access simplifies database management, enabling self-service provisioning and access control across providers while enhancing visibility and governance for admins.

Explore Quarkus, a modern Java framework for cloud-native apps, and learn to develop supersonic subatomic Java applications targeting Kubernetes environments.

Discover the latest developer tools and features in OpenShift 4.13, enhancing your cloud-native application development experience.

Explore observability in Quarkus applications: learn Microprofile Health, Metrics, Fault Tolerance, and tracing. Master instrumenting, business metrics, and Micrometer for enhanced application monitoring.

Explore observability in Quarkus apps: health checks, metrics, fault tolerance, tracing. Learn best practices for transactions, business metrics, and application flow.

Explore fine-grained API authorization using 3scale and systems like Keycloak and Open Policy Agent. Learn about mechanisms, benefits, and implementation challenges.

Explore Spring concepts in Quarkus, comparing implementations, testing approaches, and Dev Services. Build a Quarkus version of a Spring app through live coding.

Deploy Java serverless functions across multiple cloud platforms using Quarkus Funqy, a portable API for creating functions compatible with AWS, Azure, Google Cloud, and KNative.

Build high-performance Kafka-based event-driven architectures using Quarkus and MicroProfile Reactive Messaging. Learn through live coding, showcasing patterns and development techniques.

Learn strategies to prevent microservices from breaking in production through effective testing techniques, including contract testing with Pact and Quarkus development.

Explore sentiment analysis using Kafka and AI/ML with Red Hat technologies through an interactive demo of a retail customer use case.

Discover how Cruise Control optimizes Kafka clusters, maximizing hardware resources and simplifying management with AMQ Streams operator.

Explore serverless computing benefits, drawbacks, and application building. Learn about cost reduction, scalability, faster development, and real-world deployment challenges.

Discover efficient API development using contract-first approach, OpenAPI specs, and generator tools for improved quality and productivity.

Explore building Kubernetes-based platforms with essential capabilities and learn to publish them via web portals like Backstage. Understand the value of platforms and portals in unlocking cloud-native architecture potential.

Explore cloud-native development scaffolding with Red Hat Developer Hub, featuring templates, catalogs, and APIs for efficient internal platforms.

Experimentiere kostenlos mit Kubernetes-Anwendungen in der Red Hat OpenShift Developer Sandbox. Lerne schnelle und effiziente Entwicklungsmöglichkeiten kennen.

Optimize Java applications for cloud deployment, addressing memory usage, GC algorithms, and security updates. Learn debugging techniques and framework selection for efficient containerization.