Arun Gupta

DevOps with Java EE

Techniques such as automated builds and testing, continuous integration and continuous deployment allow software to be developed to a high standard and easily packaged and deployed to test environments, resulting in the ability to rapidly, reliably and repeatedly push out enhancements and bug fixes to customers at low risk and with minimal manual overhead. What container-agnostic tools are available for testing, continuous integration and deployment of a Java EE application ?

This talk will start with how to package Java EE application “operating environment” such as Operating System, JVM, Database, dependencies, and other configuration in a reusable format, such as Docker. It explains how to replicate the environment for development, testing, staging, and production minimizing the impedance mismatch between them. A quick overview of Arquillian and how it helps in a automated testing across multiple Java EE containers is shown. How functional testing, code coverage, performance and other aspects for going in to production will be discussed. Using Arquillian against Docker containers will be explained as well. Finally, configuring Jenkins for Continuous Integration and setting up deployment pipelines will show how to take an application from push-to-production and achieve almost 100% automation.

Refactor your Java EE application using Microservices and Containers

Docker gives PODA or Package Once Deploy Anywhere. It simplifies software delivery by making it easy to build and share images that contain your application’s operating system, i.e. application code and infrastructure together, managed as one component. These images are then used to create runtime containers, provided by Docker. These images can be distributed using Docker Registry. Each Docker container is a self-contained microservice that provides isolation, resilience, decoupling, and many other benefits.

This talk will provide a quick introduction to Docker images (build time), containers (run time), and registry (distribution). It shows how to take an existing Java EE application and package it as a monolithic application as a single Docker image. The application will then be refactored in to multiple microservices and assembled together using orchestration. Unit and integration testing of such applications will be discussed and shown as well. Design patterns and anti-patterns that show how to create cluster of such applications will be demonstrated and discussed.

Package your Java EE Application using Docker

Docker simplifies software delivery by making it easy to build and share images that contain your application’s operating system. It packages your application and infrastructure together, managed as one component. These images are then used to create Docker containers which run on the container virtualization platform, provided by Docker. These images can be distributed using Docker Registry.

This talk will provide an introduction to Docker images (build time), containers (run time), and registry (distribution). Java EE application require operating system, JDK, database, application server, tuning of different parts of the stack, WAR file, and much more. The talk will explain how to create and publish Docker images that package these components and talk to each other. Design patterns and anti-patterns that show how to create cluster of such applications will be shown. Replicating your development, test, and production environments using Docker images will be shown.

The talk will also discuss how to setup an internal registry to share private Docker images.