Microservices architecture allows developers to apply best practices for larger systems learned over time with containerized Jakarta EE (Java EE) application deployments in any environment: on premise, in the cloud, or hybrid.  Using Payara Micro in the cloud offers benefits ranging from reduced expenses, seamless integration with cloud platforms and tools for management and automation, to automatic and elastic clustering. 

In this tutorial, I will explain how to create, run and debug a Payara Micro application in Visual Studio Code. (If you're interested in learning more about using Payara Server in VSCode, please checkout ourprevious blogs.)

In this short video, Rudy de Busscher demonstrates how to use MicroProfile Config with etcd.

Payara Micro is a lightweight middleware platform for containerized Jakarta EE application deployments, but it still provides a lot of APIs and functionality for developers. On top of all Jakarta EE Web Profile APIs, Payara Micro also supports a additional Jakarta EE APIs, and it also provides the same MicroProfile, Payara, and JCache APIs as our complete application platform, Payara Server. In this article, we’ll show you how to make use of Jakarta Messaging (JMS) in Payara Micro to send and receive messages to and from a JMS broker.

MicroProfile Health is an API designed specifically for use in cloud and containerized environments, where you want to quickly determine if an instance of an application is unhealthy and restart it. How exactly do you use it though? In this session, I’ll run through how to add some health checks to your application, and how to configure a number of cloud providers and containers to effectively use them to restart your application instances.

Payara Micro 5.201 adds two command line options that make preparation of container images easier, as well as enable class data sharing on HotSpot Java Virtual Machine.

One of the performance metrics that are frequently compared  by developers are startup times. Payara Server is designed to be manageable at runtime, with a central management server (DAS - domain administration server) and multiple instances, and as such is not optimized for extremely fast startup time. Payara Micro on the other hand, is optimized to run predefined workloads with a stable configuration at runtime, and is therefore a better fit for for comparing start up time metrics.

In this blog, let's take a look at how you can configure Payara Micro for fast startup time by utilizing the class data sharing feature of Eclipse OpenJ9.

Integration testing is perceived as difficult, time-consuming and requiring complex setup of 3rd party systems. There are different types of integration testing, such as system, acceptance and release testing, but all types of testing share the need to integrate several units of your application or other systems in your test.

The Java Virtual Machine comes in different flavors. On one hand, you have the OpenJDK based JVMs. Many vendors, including Oracle, RedHat, Amazon, and Azul to name just a few, create builds from the OpenJDK source to bring the JVM to your development machine or server.

Each year, there's one special Java conference for me. It's GeeCon in Prague because Prague is my home city where I work and live and where I know so many great people in the Java community. This year, I had the opportunity to be a part of GeeCon again as a speaker. As is true every year, GeeCon was well organized, with a lot of interesting international and local speakers and a huge crowd of passionate attendees. All of this made the conference exceptional and worth attending.