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The DevOps 2.3 Toolkit

You're reading from   The DevOps 2.3 Toolkit Kubernetes: Deploying and managing highly-available and fault-tolerant applications at scale

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789135503
Length 418 pages
Edition 1st Edition
Concepts
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Author (1):
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Viktor Farcic Viktor Farcic
Author Profile Icon Viktor Farcic
Viktor Farcic
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Table of Contents (18) Chapters Close

Preface 1. How Did We Get Here? FREE CHAPTER 2. Running Kubernetes Cluster Locally 3. Creating Pods 4. Scaling Pods With ReplicaSets 5. Using Services to Enable Communication between Pods 6. Deploying Releases with Zero-Downtime 7. Using Ingress to Forward Traffic 8. Using Volumes to Access Host's File System 9. Using ConfigMaps to Inject Configuration Files 10. Using Secrets to Hide Confidential Information 11. Dividing a Cluster into Namespaces 12. Securing Kubernetes Clusters 13. Managing Resources 14. Creating a Production-Ready Kubernetes Cluster 15. Persisting State 16. The End 17. Other Books You May Enjoy

Kubernetes resource management compared to docker swarm equivalent

Resource management can be divided into a few categories. We need to define how much memory and CPU we except a container will use and what are the limits. This information is crucial for a scheduler to make "intelligent" decisions when calculating where to place containers. In this aspect, there is no essential difference between Kubernetes and Docker Swarm. Both are using requested resources to decide where to deploy containers and limits when to evict them. Both of them are, more or less, the same in this aspect.

How can we know how much memory and CPU to dedicate to each of our containers? That's one of the questions I heard way too many times. The answer is simple. Collect metrics, evaluate them, adjust resources, take a break, repeat. Where do we collect metrics? Wherever you want. Prometheus...

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