Cluster your MicroProfile Application using CDI and JCache
Microprofile is a new platform definition that optimizes Enterprise Java for a microservices architecture and delivers application portability across multiple runtimes. You can use a subset of the Java EE spec to develop Microprofile applications, with JAX-RS, CDI and JSON-P. Now you need to make it highly available and scalable across a large number of machines. The session will feature a live coding demo where we will turn this Microprofile application, into a fully clustered application using a CDI extension and producers to integrate Hazelcast as a JCache provider. Finally, to show you how light it is, we will run the entire cluster in a set up of Raspberry PI's.
My name is Roberto Cortez and I was born in Venezuela, but I have spent most of my life in Coimbra – Portugal, where I currently live. I am a professional Java Developer working in the software development industry, with more than 8 years of experience in business areas like Finance, Insurance and Government. I have finished my degree in Informatics Engineering (equivalent to the Bologna Master’s degree) from the Department of Informatics Engineering of the University of Coimbra in 2006, however I started to learn and enjoy Java in 1998. I work with many Java based technologies like JavaEE, Spring, Hibernate, GWT, JBoss AS and Maven just to name a few, always relying on my favorite IDE: IntelliJ IDEA. As a Freelancer / Independent Contractor I travelled around the world (an old dream) to customers, but also to attend Java conferences. The direct contact with the Java community made me want to become an active member in the community itself. For that reason, I have created the Coimbra Java User Group, started to contribute to Open Source on Github and launched this blog, so I can share some of the knowledge that I gained over the years. I hope you find it useful! Currently, I’m working with Tomitribe. After working for a few major corporations, I’m eager to help and grow something from the ground up. I’m very excited to work with all the amazing tribers working hard to make TomEE a compelling Java EE server.