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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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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

Managing Container CPU Resources

This section of the chapter will show you how to set limits on the amount of CPU being used by the container, as a container running without limits can use up all the available CPU resources on a host server. We will be looking at optimizing our running Docker container, but the actual issue with a large amount of CPU being used usually lies with the underlying infrastructure or the applications running on the container.

When we discuss CPU resources, we usually refer to a single physical computer chip. These days, a CPU will most likely have more than one core, with more cores meaning more processes. But this doesn't mean we have unlimited resources. When we display the CPU percentage being used, unless you have a system that only has one CPU with one core, you will most likely see more than 100% of the CPU being used. For example, if you have four cores in the CPU of your system, and your container is utilizing all of the CPU, you will see...

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