The technical sessions of this track is filled with content covering everything you need to know about developing applications and cloud native microservices using Java. The topics include best practices, experiences, and recommendations using technologies and frameworks such as Eclipse Vert.x, Eclipse MicroProfile, and Jakarta EE as well as reactive programming, containers, and orchestration.
Breaking news: You no longer need a PhD in quantum physicist to write Java that breaks the sound barrier! Join us live tonight and we are going to walk you through writing supersonic subatomic java with Quarkus!
Georgios and Ioannis are going to deliver a “deep dive” session into Quarkus structured into two 45 ‘self-contained’ parts. The first part is going to cover application development essentials. The second part is going to be about cloud and integration
Kubernetes is becoming the de-facto platform to deploy our application nowadays. But this movement also implied some changes on the way we code our applications, where we just develop a monolith application where everything was up and running up front, now we are breaking down this monolith into (micro)services architecture. Although it might seem easy, done properly is not an easy movement as there are some challenges to address that were not there before, at monolith architecture time.
This tutorial explains how to design applications to effectively develop them with the Microservices architecture. It examines building microservices step by step, how to design boundaries between components using Domain-driven design and when to split a microservice into smaller services.
This live coding session shows how to design Jakarta EE applications to effectively develop them with the Microservices architecture. From a simple Jakarta EE service, we'll evolve our code using MicroProfile to build a scalable system with very few code changes and no code waste.
You'll see how to focus on business logic and application design, and not to worry about the technology or cloud. With Jakarta EE and MicroProfile, it's very easy to evolve your codebase to scale it and run in the cloud in the future.
Jakarta EE with MicroProfile is the platform of choice for building applications for private and public clouds. The nature of microservice architectures allows significant design and architectural shortcuts. The code reduction increases the productivity and shrinks the codebase at the same time. In this session, I'm going to code a few microservices "from scratch" and explain the design choices on-the-go.
Attendee's questions are highly welcome.
Jakarta EE with MicroProfile runtimes on top provide unbeatable "Time to First Commit" and "out-of-the-box" experience. No configuration, no setup -- just download and go. In this session I would like to share productivity tips and tricks for cloud native Java applications in continuous coding style. From setup to "Java in the Clouds". Attendee's questions are highly welcome.
Java based software development has been a winning proposition for the past 20+ years, however, cloud native application development in the form of microservices and serverless apps are challenging the Java deployment model in terms of memory requirements and start up speed. Quarkus is a Kubernetes native Java stack that can tailor your application for GraalVM & Hotspot providing amazingly fast boot times and incredibly low RSS memory usage, making Java great again in this new Cloud Native Era.
We are going to show you what happens when the management lets enterprise Java developers and architects decide how we can control the IoT devices in our new office. While it's easy to figure out why Microprofile is cool, it's harder to see how to get in into your project. By the end of this talk, you will be introduced into the patterns and software in the enterprise world of Java explaining how to build a build a secure, stable, modular, and integrated system on an example of a completely over-engineered IoT solution to control the lights and plant's well-being in the new office.
Nowadays, containers are more than a cool new tool to play with - they've revolutionized the way we develop, architect and ship software and have become part of our day-to-day operations. On the other hand, Java has been around for more than 2 decades, dominating the entreprise world. Both advocate the "RUN anywhere" principal, but, is it that easy? No! Your perfect working local container will most probably fail on production because of MEMORY &/or CPU issues, since jvm apps assume they OWN the server they are running on.
Most of the enterprises want to move their workloads to Cloud and with multiple cloud environments around with different pricing models, it becomes crucial to understand the workload performance and its resource usage trends in different cloud environments. Keeping the application memory footprint small can result in cost savings to cloud user when the cloud pricing model is based on memory usage - GB/hr. Faster application startup time and rampup time can result in cost savings when the pricing model is based on cpu used.