Automate test and failure analysis via streams for Apache Kafka
Explore an automated, event-driven solution using streams for Apache Kafka, Debezium CDC, and Quarkus with SmallRye Reactive Messaging to sync failure analysis.
Explore an automated, event-driven solution using streams for Apache Kafka, Debezium CDC, and Quarkus with SmallRye Reactive Messaging to sync failure analysis.
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Red Hat Customer Portal now offers Temurin JDK 25 for 64-bit Windows, providing another supported, production-ready option for running Java on Windows.
Learn about the Red Hat build of OpenTelemetry and its auto-instrumentation capabilities to achieve full-stack observability on OpenShift.
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The Red Hat build of OpenJDK is an open source implementation of the Java Platform, Standard Edition (Java SE).
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This article explores how to use the new features of Red Hat build of Cryostat 4.1 to diagnose problems on Java applications running in OpenShift or Kubernetes.
Discover the advantages of using Java for AI development in regulated industries. Learn about architectural stability, performance, runtime guarantees, and more.
Learn about the JBoss Web Server (JWS) container image and its deployment on Red Hat OpenShift 4. Explore default container settings and customization options.
Upgrade to Red Hat Enterprise Linux 10.1 and discover the benefits of OpenJDK 25 LTS, including better performance, memory efficiency, and developer ergonomics.
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Red Hat build of Quarkus 3.27 offers enhanced data handling, observability, and
Learn about the Apache Kafka's KRaft protocol, a consensus algorithm that ensures fault tolerance and consistency in a network of interconnected nodes.
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.
The video demonstrates Camel JBang's infra command, showcasing how it simplifies prototyping by instantly launching backend systems like messaging brokers using Testcontainers and Docker. In this 15-minute demo, viewers will see a practical example of setting up and testing integration flows locally with minimal setup.
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Learn how to optimize Kafka consumption from remote storage. Explore 2 critical problems, their solutions, and tuning advice for remote data consumption.
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Explore JVM tuning considerations for Red Hat Data Grid on Red Hat OpenShift 4, from allocating adequate CPU resources to benchmarking your application.