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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

Creating tasks and services for your applications

The first thing you should know is that we will never schedule containers on a Docker Swarm cluster. We will always run services, which are the minimal deployment units in a Docker Swarm cluster.

Each service is defined by a number of replicas, known in Docker Swarm as tasks. And finally, each task will run one container.

Important note

Docker Swarm is based on Moby’s SwarmKit project, which was designed to run any kind of task cluster-wide (virtual machines, for example). Docker created Docker Swarm by implementing SwarmKit in the orchestrator, but specifically for running containers.

We will use a declarative model to schedule services in our Docker Swarm cluster by setting the desired state for our services. Docker Swarm will take care of their state continuously and take corrective measures in case of any failure to reconcile its state. For example, if the number of running replicas is not correct because one...

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