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Docker for Developers

You're reading from   Docker for Developers Develop and run your application with Docker containers using DevOps tools for continuous delivery

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781789536058
Length 468 pages
Edition 1st Edition
Tools
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Authors (3):
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Richard Bullington-McGuire Richard Bullington-McGuire
Author Profile Icon Richard Bullington-McGuire
Richard Bullington-McGuire
Michael Schwartz Michael Schwartz
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Michael Schwartz
Andrew K. Dennis Andrew K. Dennis
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Andrew K. Dennis
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Table of Contents (21) Chapters Close

Preface 1. Section 1: An Introduction to Docker – Containers and Local Development
2. Chapter 1: Introduction to Docker FREE CHAPTER 3. Chapter 2: Using VirtualBox and Docker Containers for Development 4. Chapter 3: Sharing Containers Using Docker Hub 5. Chapter 4: Composing Systems Using Containers 6. Section 2: Running Docker in Production
7. Chapter 5: Alternatives for Deploying and Running Containers in Production 8. Chapter 6: Deploying Applications with Docker Compose 9. Chapter 7: Continuous Deployment with Jenkins 10. Chapter 8: Deploying Docker Apps to Kubernetes 11. Chapter 9: Cloud-Native Continuous Deployment Using Spinnaker 12. Chapter 10: Monitoring Docker Using Prometheus, Grafana, and Jaeger 13. Chapter 11: Scaling and Load Testing Docker Applications 14. Section 3: Docker Security – Securing Your Containers
15. Chapter 12: Introduction to Container Security 16. Chapter 13: Docker Security Fundamentals and Best Practices 17. Chapter 14: Advanced Docker Security – Secrets, Secret Commands, Tagging, and Labels 18. Chapter 15: Scanning, Monitoring, and Using Third-Party Tools 19. Chapter 16: Conclusion – End of the Road, but not the Journey 20. Other Books You May Enjoy

Scaling your Kubernetes cluster

To support more traffic and more applications, your Kubernetes cluster may need to grow beyond its initial size. You can use both manual methods and dynamic programmed methods to do this, especially if you are working with a cloud-based Kubernetes cluster. To scale out an application, you need to control two dimensions: the number of pods running a particular application and the number of nodes in a cluster. You can't scale the number of pods infinitely on a cluster with the same number of nodes; practical limits related to CPU, memory, and network concerns will ultimately demand that the cluster scales out the number of nodes as well.

The method that's used to scale out a cluster will vary considerably, depending on the cloud vendor and Kubernetes distribution. The Kubernetes documentation explains both the general process and some specific instructions for clusters running in the Google and Microsoft Azure clouds:

https://kubernetes...

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