The complete guide to running Java in Docker and Kubernetes

4h 39m 16s
English
Paid
May 22, 2024

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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# Title Duration
1 What you'll learn in this course 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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