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Troubleshooting Docker

You're reading from   Troubleshooting Docker Develop, test, automate, and deploy production-ready Docker containers

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781783552344
Length 290 pages
Edition 1st Edition
Tools
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Authors (4):
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John Wooten John Wooten
Author Profile Icon John Wooten
John Wooten
Navid Ahmed Shaikh Navid Ahmed Shaikh
Author Profile Icon Navid Ahmed Shaikh
Navid Ahmed Shaikh
Vaibhav Kohli Vaibhav Kohli
Author Profile Icon Vaibhav Kohli
Vaibhav Kohli
Rajdeep Dua Rajdeep Dua
Author Profile Icon Rajdeep Dua
Rajdeep Dua
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Toc

Table of Contents (11) Chapters Close

Preface 1. Understanding Container Scenarios and an Overview of Docker FREE CHAPTER 2. Docker Installation 3. Building Base and Layered Images 4. Devising Microservices and N-Tier Applications 5. Moving Around Containerized Applications 6. Making Containers Work 7. Managing the Networking Stack of a Docker Container 8. Managing Docker Containers with Kubernetes 9. Hooking Volume Baggage 10. Docker Deployment in a Public Cloud - AWS and Azure

Deploying Kubernetes in a production environment


In this section, we'll be covering some of the important points and concepts that can be used to deploy Kubernetes in production.

  • Exposing Kubernetes services: Once we deploy the Kubernetes pods, we expose them using services. The Kubernetes service is an abstraction, which defines a set of pods and a policy to expose them as a microservice. The service gets its own IP address, but the catch is that this address only exists within the Kubernetes cluster, which means the service is not exposed to the Internet. It's possible to expose the service directly on the host machine port, but once we expose the service on the host machine, we get into port conflicts. It also voids Kubernetes benefits and makes it harder to scale the deployed service:

    Kubernetes service exposed through external load balancer

    One solution is to add an external load balancer such as HAProxy or NGINX. This is configured with a backend for each Kubernetes service and proxies...

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