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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

Defining Pods through declarative syntax

Even though a Pod can contain any number of containers, the most common use case is to use the single-container-in-a-Pod model. In such a case, a Pod is a wrapper around one container. From Kubernetes' perspective, a Pod is the smallest unit. We cannot tell Kubernetes to run a container. Instead, we ask it to create a Pod that wraps around a container.

Let's take a look at a simple Pod definition:

cat pod/db.yml  

The output is as follows:

apiVersion: v1
kind: Pod
metadata:
  name: db
  labels:
    type: db
    vendor: Mongo Labs
spec:
  containers:
  - name: db
    image: mongo:3.3
    command: ["mongod"]
    args: ["--rest", "--httpinterface"]  

We're using v1 of Kubernetes Pods API. Both apiVersion and kind are mandatory. That way, Kubernetes knows what we want to do (create a Pod) and which...

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