The complete guide to running Java in Docker and Kubernetes – Udemy

(10 customer reviews)




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.

Who this course is for:

  • JVM developers interested in understanding how the JVM behaves in a container
  • Java developers using Docker
  • Java developers using Kubernetes
  • JVM developers using containers

Course content

  • Introduction
  • Docker for Java developers
  • Getting to know the samples
  • Java Ergonomics
  • Containers in depth
  • Kubernetes
  • Production-ready Java images
  • Conclusion

10 reviews for The complete guide to running Java in Docker and Kubernetes – Udemy

  1. Donny Phan

    Super practical. Lessons are catered towards anyone looking to find work in this industry. It felt very comprehensive and gave me a broad understanding of the programming spectrum

  2. Madhav raj Verma

    Thanks for your great effort. i am fully satisfied with this course the way you teach and your explanation are very clear ,The content you provide in your course no one can do this at this price.

  3. Sachin Gupta

    I really didn’t want to leave a low rating as Angela is a great teacher. The 1st half of this course was terrific. The 2nd half was terrible. Under the justification of “teaching students how to figure things out on their own”, pretty much all videos and all explanations were dropped. You were just told what to do, given links to documentation and told to figure it out on your own. I understand doing that to some degree, but to revert to that entirely for nearly half the content barely makes this a course. It’s just a list of things for you to learn, then you’re left on your own to learn them. The 2nd half was so bad, especially the data science component, that I didn’t bother finishing the course.

  4. Vincent Beaudet

    Amazing 40 days course.
    Angela is a great teacher.
    The other 60 days are all about web developement, interacting with web pages, on your own with little to no explanations. I did not expect that at all. I wanted to learn more about software and scripting.
    This left me disappointed , confused and i started to doubt myself. Not a fun experience after the amount of effort i’v put in this course.

    Exercices format and explanations for the first 40 days were worth it tho.

  5. Ben K

    Not just an introduction to python, but really helps you learn fundamental aspects of python and coding in general. Some parts may require some knowledge on the subject (data science comes to mind) and there is quite some web development in the course. So, a few areas were not completely to my liking (I would have liked to see it done differently), but this course deserves the 5 stars in my opinion.

  6. Omid Alikhel

    I found the method a bit difficult when a code is written and then changed back to something different, with no enough explanation of how something happened and where it came from or a step by step explanation of why something is happening, i have no doubt in the instructors talent, but we are beginners!

  7. Devang Jain

    The course is not updated and most of the solution codes don’t work and there are no video solutions towards the end

  8. Szymon Kozak

    I think that the course tutor is really good in giving right information to learn at the right time. Thanks to this fact, my understanding of coding in python after 29 days of learning is above my expectations.

  9. Begoña Ruiz Diaz

    Ha sido la mejor elección que podría haber hecho.

  10. Vaibhav Sachdeva

    I want to thank Angela for making such an amazing course. It really helped me explore more things with python.

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