The Payara Platform and Docker
Payara provides several Docker container images (download here). These can be used as-is to run your applications on Payara Server or Payara Micro (the Payara Platform). Or you can create your own Docker images based on them. Check out the following resources to learn more about using the Payara Platform with Docker.
Payara Server and Docker
Using Payara Server with Docker

This guide will demonstrate the basic usage of Docker, as well as some example configurations using the Payara Server Docker images.
Clustering Payara Server in Docker

This guide will demonstrate some more advanced aspects of using Payara Server in Docker and how to setup Payara Server and Payara Micro in a clustered architecture.
Introduction to Payara Server Docker Nodes & Instances

This guide details the basic steps required to get a simple application deployed to a Payara domain with a number of Payara Server instances running in Docker containers and assigned to a deployment group.
Payara Micro and Docker
Using Payara Micro with Docker

This guide will demonstrate the basic usage of Docker, as well as some example configurations using the Payara Micro Docker images.
Payara Micro in Docker: Run, Configure, and Build Custom Docker Images

Watch this video to learn how to run Payara Micro inside a Docker container, how to run your applications with it, how to configure it, and how to build your custom Docker image that contains everything you need to run your application.
Payara Micro Cluster on Docker

This video shows advanced Docker techniques and how to cluster with Payara Micro. You can use Payara Micro instances joined automatically with a Domain Data Grid and because Payara Micro is optimized for Docker and Kubernetes, this set up will work right out-of-the-box with no special configuration needed.
Using Payara Platform with Docker on Microsoft Azure

In this user guide, we’ll show you how to deploy your Payara Micro-based application using a Docker Image on the Azure Platform. We focus on the Container as a Service option where the Microsoft Azure Platform provides all the capabilities for running your applications through the usage of a Docker Container in the cloud.
From the Payara Blog
14 Docker Tips for the Payara Platform 15 Jan 2021
Creating a Docker image is not that difficult. The Dockerfile script contains a few commands that define and prepare your image that will be run by the engine as a container.
Using Payara Server with Docker 22 Apr 2020
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. This article will explain more about introducing Docker.
What is Docker and How is it Used with the Payara Platform (Japanese) 07 Feb 2020
Dockerとは? DockerとPayara Server/Payara Microを一緒に使うには?
Using Container Orchestration Tools with Payara Platform 30 Sep 2019
Introduction With Container orchestration tools like Kubernetes and Docker Swarm, you can add instances quite easily. Depending on the type of clustering you need or use for your application, some scenarios are easier to implement than others.
Deploy Docker Containers On Azure 18 Jun 2019
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.
What Is Kubernetes and How Does It Relate to Docker? 14 Jun 2019
Kubernetes is most commonly used with Docker managed containers, although it doesn't strictly depend on it. Kubernetes defines a Container Runtime Interface (CRI) that container platforms must implement in order to be compatible. These implementations are colloquially known as "shims". This makes Kubernetes platform agnostic so that instead of Docker you're free to use other platforms with corresponding shims, such as CRI-O or KataContainers.