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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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Toc

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 Deployments compared to Docker Swarm stacks

If you have already used Docker Swarm, the logic behind Kubernetes Deployments should be familiar. Both serve the same purpose and can be used to deploy new applications or update those that are already running inside a cluster. In both cases, we can easily deploy new releases without any downtime (when application architecture permits that).

Unlike the previous comparison between Kubernetes Pods, ReplicaSets, and Services with Docker Swarm Stacks, Kubernetes Deployments do provide a few potentially important functional differences. But, before we dive into the functional comparison, we'll take a moment to explore differences in how we define objects.

An example Kubernetes Deployment and Service definition is as follows:

apiVersion: apps/v1beta2
kind: Deployment
metadata:
  name: go-demo-2-db
spec:
  selector:
    matchLabels...
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