The complete guide to running Java in Docker and Kubernetes
Course description
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.
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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.
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All Course Lessons (31)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | What you'll learn in this course Demo | 01:33 | |
| 2 | What is Docker | 13:17 | |
| 3 | Installing Docker | 05:01 | |
| 4 | Docker components | 09:12 | |
| 5 | Gradle and the samples | 11:45 | |
| 6 | JVM Ergonomics | 07:01 | |
| 7 | Introduction to namespaces and cgroups | 14:16 | |
| 8 | Container CPU shares | 14:59 | |
| 9 | Container CPU quota | 12:51 | |
| 10 | Container memory | 12:06 | |
| 11 | Kubernetes introduction | 16:22 | |
| 12 | Installing minikube | 08:08 | |
| 13 | Running the samples in Kubernetes | 13:04 | |
| 14 | Kubernetes resources | 05:58 | |
| 15 | CPU in Kubernetes | 08:38 | |
| 16 | Memory in Kubernetes | 03:28 | |
| 17 | Liveness, readiness, and rolling deployments | 07:54 | |
| 18 | Introduction to images | 01:55 | |
| 19 | Picking a base image | 09:37 | |
| 20 | JDK vs JRE base image | 05:46 | |
| 21 | Multi stage builds | 12:16 | |
| 22 | JVM modules and JLink | 10:26 | |
| 23 | Graceful shutdown and handling signals | 15:00 | |
| 24 | Handling signals in containers | 06:04 | |
| 25 | Debugging inside containers | 07:59 | |
| 26 | Speeding up startup with Class Data Sharding (CDS) | 09:18 | |
| 27 | Going distroless: in search of smaller images | 09:20 | |
| 28 | Lightning fast containers with Ahead Of Time (AOT) compilation | 08:16 | |
| 29 | GraalVM native image introduction | 09:21 | |
| 30 | GraalVM multi stage builds | 07:35 | |
| 31 | Questions and feedback | 00:50 |
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