We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.

We now have a generation of developers joining our organisations and workforces that are younger than Java. They have grown up with an ever-expanding catalog of applications, languages and frameworks at their fingertips. The question is, should we still be encouraging them to develop and code in Java? Is Java still relevant to this generation? If so, how can we entice more young developers to tackle the JVM?