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Containers for Developers Handbook

You're reading from   Containers for Developers Handbook A practical guide to developing and delivering applications using software containers

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781805127987
Length 490 pages
Edition 1st Edition
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Author (1):
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Francisco Javier Ramírez Urea Francisco Javier Ramírez Urea
Author Profile Icon Francisco Javier Ramírez Urea
Francisco Javier Ramírez Urea
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Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1:Key Concepts of Containers
2. Chapter 1: Modern Infrastructure and Applications with Docker FREE CHAPTER 3. Chapter 2: Building Docker Images 4. Chapter 3: Sharing Docker Images 5. Chapter 4: Running Docker Containers 6. Chapter 5: Creating Multi-Container Applications 7. Part 2:Container Orchestration
8. Chapter 6: Fundamentals of Container Orchestration 9. Chapter 7: Orchestrating with Swarm 10. Chapter 8: Deploying Applications with the Kubernetes Orchestrator 11. Part 3:Application Deployment
12. Chapter 9: Implementing Architecture Patterns 13. Chapter 10: Leveraging Application Data Management in Kubernetes 14. Chapter 11: Publishing Applications 15. Chapter 12: Gaining Application Insights 16. Part 4:Improving Applications’ Development Workflow
17. Chapter 13: Managing the Application Life Cycle 18. Index 19. Other Books You May Enjoy

Deploying a Docker Swarm cluster

Docker Swarm is the orchestration platform developed by Docker Inc. It is probably the simplest orchestration solution for beginning to deploy your containerized applications. It is included inside the Docker container runtime and no additional software is required to deploy, manage, and provide a complete and secure Docker Swarm cluster solution. However, before we learn how to do this, let’s explore the architecture of Docker Swarm.

Understanding Docker Swarm’s architecture

Docker Swarm’s architecture is based on the concepts of a control plane, management plane, and data plane or workload plane. The control plane supervises the status of the cluster, the management plane provides all the platform management features, and finally, the data plane executes the user-defined tasks. These planes can be isolated from each other using multiple network interfaces (but this should be completely transparent to you as a developer)...

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