The complete guide to running Java in Docker and Kubernetes

4h 39m 16s
English
Paid

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.

Read more about the course

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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#1: What you'll learn in this course

All Course Lessons (31)

#Lesson TitleDurationAccess
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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