Java

Learn how Quarkus combined with LangChain4j provides a seamless way to build AI-powered applications that start in milliseconds and consume minimal resources.

In this tutorial, we’ll create applications that use the AMQP open messaging protocol which IBM MQ supports with QPid AMQP JMS APIs. We’ll run these applications as standard Java applications, as Quarkus applications, and finally as GraalVM applications.

In this article, learn about two key performance tuning techniques: memory management and garbage collection.

Learn about our approach to open source, including where we focus our contributions in projects and communities, how we push innovation upstream, and what you should consider when embracing open source in your enterprise.

This article gives you insight into the memory usage of Java code, covering the memory overhead of putting an int value into an Integer object, the cost of object delegation, and the memory efficiency of the different collection types. You'll learn how to determine where inefficiencies occur in your application and how to choose the right collections to improve your code.

This article provides the steps to configure and record a JFR dump from a running Semeru application in a containerized environment (specifically an OpenShift environment) and transport it to your local system, with the assumption that you do not have SSH access to the pod that is running the container.

Modernize legacy applications with no rewrites, no risk, just results

Modernizing Java apps doesn’t have to be a headache...Here’s how

This quick start guide gets you up and running with Quarkus on macOS, including necessary tools. You will build a basic database application using Quarkus, Java 17, PostgreSQL, and Hibernate ORM Panache.

Learn how to build two gatherers: one that processes a stream of strings into a stream of characters and one that processes the stream of characters into a stream of strings each with a maximum size.