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Docker Orchestration

You're reading from   Docker Orchestration A concise, fast-paced guide to orchestrating and deploying scalable services with Docker

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781787122123
Length 284 pages
Edition 1st Edition
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Authors (2):
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Randall Smith Randall Smith
Author Profile Icon Randall Smith
Randall Smith
Gianluca Arbezzano Gianluca Arbezzano
Author Profile Icon Gianluca Arbezzano
Gianluca Arbezzano
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Started with Docker Orchestration 2. Building Multi-Container Applications with Docker Compose FREE CHAPTER 3. Cluster Building Blocks – Registry, Overlay Networks, and Shared Storage 4. Orchestration with Docker Swarm 5. Deploying and Managing Services with Kubernetes 6. Working with Mesosphere 7. Using Simpler Orchestration Tools – Fleet and Cattle 8. Monitoring Your Cluster 9. Using Continuous Integration to Build, Test, and Deploy Containers 10. Why Stop at Containers? Automating Your Infrastructure

Running pods


Kubernetes organizes containers into pods. Each pod is a collection of one or more containers. A pod can be replicated, scaled, and updated independently of other pods running in the cluster. Each pod is assigned an IP address, which is used to connect to the exposed ports of containers running in the pod. Care must be taken to ensure that services within a pod do not try to use the same port, but that is much easier to coordinate than managing port usage across a Docker Swarm.

Defining a pod

Pods define one or more containers as well as all of the volumes that the containers need. The containers operate as a single unit. They are all started and stopped together. They can also communicate with each other on localhost. The pod is defined using YAML or JSON and passed to kubectl create. Following is a simple pod definition:

apiVersion: v1 
kind: Pod 
metadata: 
  name: simple 
spec: 
  containers: 
    - name: web 
      image: nginx 
  ...
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