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The Docker Workshop

You're reading from   The Docker Workshop Learn how to use Docker containers effectively to speed up the development process

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781838983444
Length 792 pages
Edition 1st Edition
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Concepts
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Authors (5):
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Engy Fouda Engy Fouda
Author Profile Icon Engy Fouda
Engy Fouda
Onur Yılmaz Onur Yılmaz
Author Profile Icon Onur Yılmaz
Onur Yılmaz
Sathsara Sarathchandra Sathsara Sarathchandra
Author Profile Icon Sathsara Sarathchandra
Sathsara Sarathchandra
Aric Renzo Aric Renzo
Author Profile Icon Aric Renzo
Aric Renzo
Vincent Sesto Vincent Sesto
Author Profile Icon Vincent Sesto
Vincent Sesto
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Toc

Table of Contents (17) Chapters Close

Preface
1. Running My First Docker Container 2. Getting Started with Dockerfiles FREE CHAPTER 3. Managing Your Docker Images 4. Multi-Stage Dockerfiles 5. Composing Environments with Docker Compose 6. Introduction to Docker Networking 7. Docker Storage 8. CI/CD Pipeline 9. Docker Swarm 10. Kubernetes 11. Docker Security 12. Best Practices 13. Monitoring Docker Metrics 14. Collecting Container Logs 15. Extending Docker with Plugins Appendix

Container Resources and Docker Compose

Orchestrators such as Kubernetes and Swarm go a long way in controlling and running your resources and spinning up new hosts if there are extra resources needed. But what do you do if you are running docker-compose in your system or a test environment? Fortunately, the previously mentioned resource configurations work nicely with docker-compose as well.

Within our docker-compose.yml file, under our service, we can use the resources option under the deploy configurations and specify our resource limits for our service. Just as we have been using options such as --cpus, --cpu_shares, and --memory, we would use the same options in our docker-compose.yml file as cpus, cpu_shares, and memory.

The example compose file in the following code block is deploying the docker-stress image we have been using in this chapter. If we look at line 8, we can see the deploy statement, followed by the resources statement. This is where we can set our limits...

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