Java

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.

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.

With the java.util.stream package, you can concisely and declaratively express possibly-parallel bulk operations on collections, arrays, and other data sources. In this series by Java Language Architect Brian Goetz, get a comprehensive understanding of the Streams library and learn how to use it to best advantage.

Learn how the Arrow Flight service provided by IBM Cloud Pak for Data can be used to read and write data sets from within a Spark Java application that is deployed in IBM Analytics Engine. Arrow Flight provides a common interface for Spark applications to interact with a variety of different data sources.

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.

Jakarta EE open source software drives cloud native innovation, modernizes enterprise applications,s and protects investments in Java EE.

Microservices are definitely the hot new thing in commercial application development. The term microservice has replaced Agile, DevOps, and RESTful as the hot new buzzword that all resumes and conference talks have to feature. But microservices are more than just a buzzword or a passing fad. In fact, they are the evolution of all of these previous concepts and an approach that has begun to show the promise of cutting through a number of long-standing issues in application development.

Find out why some stream pipelines parallelize better than others, and see how to analyze your own streams code for parallel performance.