The complete guide to running Java in Docker and Kubernetes
The complete guide to running Java in Docker and Kubernetes, available at $74.99, has an average rating of 4.25, with 31 lectures, based on 116 reviews, and has 969 subscribers.
You will learn about 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 This course is ideal for individuals who are JVM developers interested in understanding how the JVM behaves in a container or Java developers using Docker or Java developers using Kubernetes or JVM developers using containers It is particularly useful for JVM developers interested in understanding how the JVM behaves in a container or Java developers using Docker or Java developers using Kubernetes or JVM developers using containers.
Enroll now: The complete guide to running Java in Docker and Kubernetes
Summary
Title: The complete guide to running Java in Docker and Kubernetes
Price: $74.99
Average Rating: 4.25
Number of Lectures: 31
Number of Published Lectures: 31
Number of Curriculum Items: 31
Number of Published Curriculum Objects: 31
Original Price: £22.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- JVM developers interested in understanding how the JVM behaves in a container
- Java developers using Docker
- Java developers using Kubernetes
- JVM developers using containers
Target Audiences
- JVM developers interested in understanding how the JVM behaves in a container
- Java developers using Docker
- Java developers using Kubernetes
- JVM developers using containers
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:
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What a container is under the covers
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Linux cgroups
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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:
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JVM ergonomics
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How CPU Shares and Quota work
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How Kubernetes manages CPU and Memory
Then we will teach you all the techniques needed to build production-ready images:
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Selecting a base image
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JDK vs JRE based images
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Multi-stage Docker builds
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GraalVM
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Class data sharing
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Ahead of time compilation
We will experiment with different JVM versions and settings.
By the end of this course you’ll know how to:
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Build a production-ready image
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Select between using CPU limits, quotas, or both in Kubernetes
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Select memory limits and tune the JVM for running in Kubernetes
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Understand CPU usage in Kubernetes and know why it is different to VMs and physical machines.
Course Curriculum
Chapter 1: Introduction
Lecture 1: What you'll learn in this course
Chapter 2: Docker for Java developers
Lecture 1: What is Docker
Lecture 2: Installing Docker
Lecture 3: Docker components
Chapter 3: Getting to know the samples
Lecture 1: Gradle and the samples
Chapter 4: Java Ergonomics
Lecture 1: JVM Ergonomics
Chapter 5: Containers in depth
Lecture 1: Introduction to namespaces and cgroups
Lecture 2: Container CPU shares
Lecture 3: Container CPU quota
Lecture 4: Container memory
Chapter 6: Kubernetes
Lecture 1: Kubernetes introduction
Lecture 2: Installing minikube
Lecture 3: Running the samples in Kubernetes
Lecture 4: Kubernetes resources
Lecture 5: CPU in Kubernetes
Lecture 6: Memory in Kubernetes
Lecture 7: Liveness, readiness, and rolling deployments
Chapter 7: Production-ready Java images
Lecture 1: Introduction to images
Lecture 2: Picking a base image
Lecture 3: JDK vs JRE base image
Lecture 4: Multi stage builds
Lecture 5: JVM modules and JLink
Lecture 6: Graceful shutdown and handling signals
Lecture 7: Handling signals in containers
Lecture 8: Debugging inside containers
Lecture 9: Speeding up startup with Class Data Sharding (CDS)
Lecture 10: Going distroless: in search of smaller images
Lecture 11: Lightning fast containers with Ahead Of Time (AOT) compilation
Lecture 12: GraalVM native image introduction
Lecture 13: GraalVM multi stage builds
Chapter 8: Conclusion
Lecture 1: Questions and feedback
Instructors
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Christopher Batey
Principal Engineer @ Lightbend Inc
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 11 votes
- 4 stars: 43 votes
- 5 stars: 61 votes
Frequently Asked Questions
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Can I take my courses with me wherever I go?
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