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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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Concepts
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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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Toc

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

Answers

Here are some sample answers to the questions presented in this chapter:

  1. A Kubernetes cluster consists of a control plane (Kubernetes Master) and several worker nodes. The control plane is responsible for maintaining the desired state of the cluster, such as which applications are running and which container images they use. Worker nodes are the servers where applications are deployed and run.
  2. The Kubernetes master is responsible for managing the cluster. All requests to create objects, reschedule pods, manage ReplicaSets, and more happen on the master. The master does not run the application workload in a production or production-like cluster.
  3. On each worker node, we have the kubelet, the proxy, and container runtime.
  4. The answer is A. True. You cannot run standalone containers on a Kubernetes cluster. Pods are the atomic units of Deployment in such a cluster.
  5. A Kubernetes pod is the smallest deployable unit in Kubernetes. It can run one or multiple...
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