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Learn Docker - Fundamentals of Docker 19.x

You're reading from   Learn Docker - Fundamentals of Docker 19.x Build, test, ship, and run containers with Docker and Kubernetes

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781838827472
Length 592 pages
Edition 2nd 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 (25) Chapters Close

Preface 1. Section 1: Motivation and Getting Started
2. What Are Containers and Why Should I Use Them? FREE CHAPTER 3. Setting Up a Working Environment 4. Section 2: Containerization, from Beginner to Black Belt
5. Mastering Containers 6. Creating and Managing Container Images 7. Data Volumes and Configuration 8. Debugging Code Running in Containers 9. Using Docker to Supercharge Automation 10. Advanced Docker Usage Scenarios 11. Section 3: Orchestration Fundamentals and Docker Swarm
12. Distributed Application Architecture 13. Single-Host Networking 14. Docker Compose 15. Orchestrators 16. Introduction to Docker Swarm 17. Zero-Downtime Deployments and Secrets 18. Section 4: Docker, Kubernetes, and the Cloud
19. Introduction to Kubernetes 20. Deploying, Updating, and Securing an Application with Kubernetes 21. Monitoring and Troubleshooting an App Running in Production 22. Running a Containerized App in the Cloud 23. Assessments 24. Other Books You May Enjoy

Kubernetes architecture

A Kubernetes cluster consists of a set of servers. These servers can be VMs or physical servers. The latter are 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 the 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 parlance and in Swarm, 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...

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