Voxxed Days Luxembourg were organized for the fourth time in the south of the country in the village Mondorf-les-Bains, near the borders of France and Germany. If you want to visit the region, you can enjoy the nice views and vineyards. The Moselle wine is produced here.

Several Cloud Providers have the possibility to run your Payara Platform Docker Images on their infrastructure. In this blog, I will describe to you how you can run your application on Microsoft Azure using a Docker Container. All the steps required to perform this are described using the Azure Portal (web-based application) and the Azure Command line.

When using Docker images as the way to deploy your application, many organizations use Kubernetes to manage the containerized version of their application. This blog gives you a short overview of Kubernetes and how to run your Payara Micro application in a scaled fashion by either defining the scaling manually, or automatically by the Horizontal Pod scaler.

Introduction

At the end of February 2019, we started with the phase-out of the Payara Platform 4. It does not mean the end of it, but a first waypoint in the lifecycle of it. You can see all phases of a Payara Platform on our Support Lifecycle page on the website (https://www.payara.fish/support/support-lifecycle/)

What is Docker?

Docker is a platform which makes it easier to create, deploy and run your applications using containers. A container bundles all the software needed to run it. By packaging the required dependencies, it makes it easy to run it on any machine, regardless of small configuration differences.

MicroProfile

For those who did not come across Eclipse MicroProfile yet, let me give you a quick introduction. In 2016, a group of vendors and individuals started an initiative to optimize Enterprise Java for a microservices architecture.

Logging is one of the key concepts for successfully running your applications. It tells you what your application and server is doing. And of course, logging is the first place you should look when things go wrong.

In this getting started blog around logging, I will explain you the basic concepts of the Payara Server logging module. This should help you get started in the logging journey. (Click here to read the rest of our Getting Started blog posts).

The goal of MicroProfile.IO is to optimise Java EE for a micro-service architecture. It is based on some of the Java EE specifications and standardise a few technologies from the micro-services space.

Payara Server provides many metrics within JMX beans. The most interesting metrics are the statistics around pools for HTTP threads and JDBC Connection pooling.

On the other hand, Payara Server also implements the MicroProfile Metrics specification. The retrieval of useful metrics from the running instance in the areas of CPU, memory, Class loading, and other MicroProfile specifications (like Fault Tolerance), are possible through the implementation of the MicroProfile Metrics in Payara Server.

In a distributed micro-services architecture, it is important to have an overview of your systems in terms of CPU, memory management and other important metrics.