WORKSHOPS 17TH MAY 2017

Martin Thompson

In this workshop you will learn how to build microservices with Aeron and SBE in Java. Microservices capable of handling millions of messages per second with very low and predictable response times. We will cover some networking theory and the design of Aeron so you know how to use it with mechanical sympathy.

Kyle Kingsbury

Learn to use Jepsen! In this workshop, we’ll discuss the Jepsen library’s components and how they work together to set up, load, and verify distributed system correctness. We’ll write a new test for a distributed system from scratch, and learn to run and interpret its results.

Fernando Harris Francisco and Linus Hakansson

In this workshop you will work together in order to complete the mission – defeating the Death Star microservice.

Choose your platform weapon of choice (Node.js, Java or PHP) and develop and deploy cloud native microservices that will help defeat the Death Star microservice.

Stephane Delrez and Juan Carlos Ruiz Rico

Oracle Developer cloud services offer you a bunch of developer tools (Hudson, GIT, Maven Repository, etc.…) aimed to get what you need to quickly develop applications, compile them, build them, test them and deploy them in the cloud.

Ravi Chablani

Have you ever wanted to build a mobile application, but not sure where and how to start? If you answer “Yes”, then you should definitely attend this hands-on workshop. It’s more than just a “Hello World”, but still simple enough for anyone with basic development experience.

Sergey Bykov

Orleans is a framework that provides a straightforward approach to building distributed high-scale computing applications, without the need to learn and apply complex concurrency or other scaling patterns. It was created by Microsoft Research and designed for use in the cloud.

Jörg Schad

This workshop provides an overview of deploying and operating modern microservice architectures at scale.

We will discuss best practices for developing, deploying, and maintaining (e.g., upgrades, monitoring).

Pablo Musa and David Pilato

The Elastic Stack is built of:

• Beats to collect data and transport them to elasticsearch or logstash
• Logstash to collect data (from beats or other sources), transform them on the fly and transport them to other tools, like elasticsearch.
• Elasticsearch to store, index, search and analyze the collected data
• Kibana to display all that

Jörg Schad

In this workshop, the participants will build their own microservice application and connect it to a Fast Data Pipeline consisting of Apache Spark, Cassandra, and Kafka. This pipeline will then be deployed on top of DC/OS.

We will also look into the operational aspects of updating, scaling, and monitoring such data pipelines.

Mathias Brandewinder

Machine Learning is the art of writing programs that get better at performing a task as they gain experience, without being explicitly programmed to do so. Feed your program more data, and it will get smarter at handling new situations.