Whether one likes it or not, there's now denying that there's currently a huge trend toward Functional Programming. It started with the Scala language that bridged Object-Oriented Programming and Functional Programming. But there's also the Clojure languages that fully embraces FP. And even since Java 8, features of FP have started to creep in. However, most codebases in so-called OOP languages are imperative. This focus is all about the migration from one type of programmning to another.
The JVM is a fine piece of engineering. Coupled with all Java APIs available, it can do a lot: read Java files, compiles them at runtime, execute them... Most applications do not need all those capabilities. Malicious code could take advantage of that, and do something not wanted in the production environment. This focus lists options to harden the JVM, and make that harder.
Scala and Kotlin are both JVM languages. Scala was incepted earlier, and got some traction thanks to developers interested in Functional Programming on the JVM. Kotlin is more like the cool kid on the block, but has recently seen tremendous success, thanks to both Google and Pivotal supporting it respectively on Android and with the Spring framework. Scala is more powerful and academic, while Kotlin is more pragmatic. This focus aims to compare both languages in specific areas.
Microservices are ubiquitous, or at least they are talked about a lot at conferences. There are a lot of Cloud providers around, promising lower costs and huge Return-Over-Instement. This focus goes through the motion of and deploying the exact same sample application on some widespread Cloud providers.