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

Product type Paperback

Published in Aug 2023

Publisher Packt

ISBN-13 9781804613986

Length 626 pages

Edition 3rd Edition

Tools

Docker

Concepts

DevOps

Author (1):

Dr. Gabriel N. Schenker

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:

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.
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.
On each worker node, we have the kubelet, the proxy, and container runtime.
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.
A Kubernetes pod is the smallest deployable unit in Kubernetes. It can run one or multiple...