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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 operations (kops) compared to Docker for AWS

Docker for AWS (D4AWS) quickly became the preferable way to create a Docker Swarm cluster in AWS (and Azure). Similarly, kops is the most commonly used tool to create Kubernetes clusters in AWS. At least, at the time of this writing.

The result, with both tools, is more or less the same. Both create Security Groups, VPCs, Auto-Scaling Groups, Elastic Load Balancers, and everything else a cluster needs. In both cases, Auto-Scaling Groups are in charge of creating EC2 instances. Both rely on external storage to keep the state of the cluster (kops in S3 and D4AWS in DynamoDB). In both cases, EC2 instances brought to life by Auto-Scaling Groups know how to run system-level services and join the cluster. If we exclude the fact that one solution runs Docker Swarm and that the other uses Kubernetes, there is no significant functional...

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