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The Ultimate Docker Container Book

You're reading from   The Ultimate Docker Container Book Build, test, ship, and run containers with Docker and Kubernetes

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781804613986
Length 626 pages
Edition 3rd Edition
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Author (1):
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Dr. Gabriel N. Schenker Dr. Gabriel N. Schenker
Author Profile Icon Dr. Gabriel N. Schenker
Dr. Gabriel N. Schenker
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Table of Contents (26) Chapters Close

Preface 1. Part 1:Introduction
2. Chapter 1: What Are Containers and Why Should I Use Them? FREE CHAPTER 3. Chapter 2: Setting Up a Working Environment 4. Part 2:Containerization Fundamentals
5. Chapter 3: Mastering Containers 6. Chapter 4: Creating and Managing Container Images 7. Chapter 5: Data Volumes and Configuration 8. Chapter 6: Debugging Code Running in Containers 9. Chapter 7: Testing Applications Running in Containers 10. Chapter 8: Increasing Productivity with Docker Tips and Tricks 11. Part 3:Orchestration Fundamentals
12. Chapter 9: Learning about Distributed Application Architecture 13. Chapter 10: Using Single-Host Networking 14. Chapter 11: Managing Containers with Docker Compose 15. Chapter 12: Shipping Logs and Monitoring Containers 16. Chapter 13: Introducing Container Orchestration 17. Chapter 14: Introducing Docker Swarm 18. Chapter 15: Deploying and Running a Distributed Application on Docker Swarm 19. Part 4:Docker, Kubernetes, and the Cloud
20. Chapter 16: Introducing Kubernetes 21. Chapter 17: Deploying, Updating, and Securing an Application with Kubernetes 22. Chapter 18: Running a Containerized Application in the Cloud 23. Chapter 19: Monitoring and Troubleshooting an Application Running in Production 24. Index 25. Other Books You May Enjoy

Understanding Kubernetes architecture

A Kubernetes cluster consists of a set of servers. These servers can be VMs or physical servers. The latter is also called bare metal. Each member of the cluster can have one of two roles. It is either a Kubernetes master or a (worker) node. The former is used to manage the cluster, while the latter will run an application workload. I have put worker in parentheses since, in Kubernetes parlance, you only talk about a node when you’re talking about a server that runs application workloads. But in Docker and Swarm parlance, the equivalent is a worker node. I think that the notion of a worker node better describes the role of the server than a simple node.

In a cluster, you have a small and odd number of masters and as many worker nodes as needed. Small clusters might only have a few worker nodes, while more realistic clusters might have dozens or even hundreds of worker nodes. Technically, there is no limit to how many worker nodes a cluster...

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