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。
One of the cornerstones of any modern Payara Platform architecture is the use of the Domain Data Grid. The Domain Data Grid allows multiple Payara Server or Payara Micro instances to join and form a robust cluster of interchangeable nodes that can share data between each other and grant High Availability and Failover capabilities to any applications deployed in the cluster.
What happens when an application designed for a small user base needs to be scaled up and moved to the cloud?
It needs to live in a distributed environment: responding to an appropriate number of concurrent user requests per second and ensuring users find the application reliable.
Though Jakarta EE and Eclipse MicroProfile can help with reliable clustering, there is no standard API in Jakarta EE that defines how clustering should work currently. This might change in the future, but in the meantime, this gap must be filled by DevOps engineers.
In this blog, we will cover 10 technical strategies to deal with clustering challenges when developing Jakarta EE and MicroProfile for cloud environments.
At Payara Services, we have long been advocates of the benefits of using DevOps practices not only in the development of our products (like Payara Server & Payara Micro), but also in the core of our expert advice to our user base with our blog containing arguments for using DevOps practices, details of DevOps tools and new developments that benefit it.
As part of the Payara Enterprise Support services that we deliver to customers on a daily basis, giving expert advice and clarifying how the internals of the products of the Payara Platform work is one of the most common scenarios we encounter. Here's' a story about the advice we gave to one of our customers regarding the behavior of JDBC Connection Pools in Payara Server.