Payara Micro is a microservices optimised, cloud-first Jakarta EE runtime capable of executing WAR files directly from the command line, eliminating the need for a conventional application server setup. This efficient method, coupled with its versatility and extensive functionality, makes Payara Micro an ideal choice for simplifying your Jakarta EE development process. Its wide array of command-line options is designed to simplify configuration and management, further enhancing its appeal.

We are happy to announce the February 2024 release of Payara Platform Enterprise 6.11.0 (request free trial here) and Payara Platform Community 6.2024.2 (download here) are available!

This month's release comes with a number of enhancements, bug fixes, component upgrades, and new capabilities aimed at improving the stability and developer experience of the Payara Platform for you. See below for the details. 

Greetings Payara Community! Enjoy our favourite bits we gathered in our monthly catch for January.

The Payara Platform is a comprehensive ecosystem designed to meet the diverse needs of today's enterprise Java developers like you, offering robust solutions for Jakarta EE applications. The Platform is split into two main products, namely Payara Server and Payara Micro.

New to Payara Platform? Check out these two quick videos where we show you how to download and install Payara Server 6 & Payara Micro 6.

Why is software testing so important? Firstly, because we are all susceptible to making mistakes.
Secondly, because the sooner we find bugs and fix them, the cheaper the fix!

Jakarta EE is at the forefront of innovation in enterprise Java. This means staying close to the community and working on new specifications to meet developer needs.

In my previous blog post,here,I examined the JSR-375 specifications and their implementation by Jakarta EE and, more specifically, by the Payara Platform (Server and Micro).

I presented a brief overview of the JSR-375 specifications and their new features, focusing on the notion of Identity Store and illustrating, with a simple example, one of the most common use cases: the LDAP (Lightweight Directory Access Protocol) based authentication and authorization process.

Co Authored with Nicolas Frankel (Hazelcast Developer Advocate), this article is also available as a PDF.

The Hazelcast In-Memory Data Grid (IMDG) is an efficient method of storing data in a distributed way within the memory of the different processes of the cluster. Because it is distributed, searching the data locally requires 'moving' the data to your instance so it can be accessed, which is not overly efficient.  Hazelcast SQL allows distributed queries which perform the search where the data is, and then transfers only the results to your process. Since the Payara products already use Hazelcast IMDG, using the Hazelcast SQL capabilities is straightforward: just add the additional JAR library to start using it.

Payara Microでは、Webアプリケーションを自己完結型で簡単に実行することができます。2016年5月のPayara Serverリリースからは、WARファイルの内容とPayara Microを構成するクラスやリソースを束ねる “Uber JAR” を作成する簡単な方法があります。

この “Uber” Jarは、Dockerコンテナ内でアプリケーションを実行するための最良の方法ではないことに注意してください。アプリケーションに小さなコード変更を加えるたびに、バイナリ全体のアップデートが必要になるためです。より良い方法は、Payara Microインスタンスを起動して、インストールが必要なアプリケーションを指定することです。詳細については Payara Micro Docker Image documentation をご覧ください。

(最終更新日 2021/04/06)