What you'll learn:
- In depth knowledge of how Java works in a Container
- Kubernetes & Docker
- Containers in depth: Linux cgroups & namespaces
- How to build a production-quality Docker image for JVM applications
If you need to learn how to run, tune, and maintain JVM applications that run in Docker and/or Kubernetes then this is the course for you.
This course is very different from other Java/Docker/Kubernetes courses. It focuses on all the skills that you need to succeed in production.
All of the examples are in Java but the content is applicable for any JVM language including Scala, Groovy, and Kotlin.
We'll start with introductions for Docker and Kubernetes then we'll get into the fun stuff. We'll learn:
What a container is under the covers
Linux cgroups
Linux namespaces
Then we will go into how the JVM and your Java application behave differently in Kubernetes when running inside cgroups and namespaces. We'll cover:
JVM ergonomics
How CPU Shares and Quota work
How Kubernetes manages CPU and Memory
Then we will teach you all the techniques needed to build production-ready images:
Selecting a base image
JDK vs JRE based images
Multi-stage Docker builds
GraalVM
Class data sharing
Ahead of time compilation
We will experiment with different JVM versions and settings.
By the end of this course you'll know how to:
Build a production-ready image
Select between using CPU limits, quotas, or both in Kubernetes
Select memory limits and tune the JVM for running in Kubernetes
Understand CPU usage in Kubernetes and know why it is different to VMs and physical machines.
