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Introduction to DevOps with Kubernetes

You're reading from   Introduction to DevOps with Kubernetes Build scalable cloud-native applications using DevOps patterns created with Kubernetes

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Product type Paperback
Published in May 2019
Publisher
ISBN-13 9781789808285
Length 374 pages
Edition 1st Edition
Languages
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Authors (2):
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Süleyman Akbaş Süleyman Akbaş
Author Profile Icon Süleyman Akbaş
Süleyman Akbaş
Onur Yılmaz Onur Yılmaz
Author Profile Icon Onur Yılmaz
Onur Yılmaz
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Toc

Table of Contents (11) Chapters Close

Preface 1. Chapter 1: Introduction to DevOps FREE CHAPTER 2. Chapter 2: Introduction to Microservices and Containers 3. Chapter 3: Introduction to Kubernetes 4. Chapter 4: Creating a Kubernetes Cluster 5. Chapter 5: Deploy an Application to Kubernetes 6. Chapter 6: Configuration and Storage Management in Kubernetes 7. Chapter 7: Updating and Scaling an Application in Kubernetes 8. Chapter 8: Troubleshooting Applications in Kubernetes 9. Chapter 9: Monitoring Applications in Kubernetes Appendix

Running Docker Containers

Containers in Docker are considered ephemeral environments where executables are run, and no state is kept. This is partially true, since the data generated inside the container is only available in the same container. However, Docker Engine provides methods that allow you to share data between the host system and containers. In addition, the services inside the containers are reachable between the host system and other containers.

In this section, we will explain how to run Docker containers using volume and port mapping in order to show how containers are used for stateful services. Running a container starts by running processes, which are packaged as Docker images, as isolated containers. This could be initiated by the docker run command, or programmatically by using the Docker API on local or remote host systems. Docker Engine provides more than just running processes and it can attach networks or volumes, ensure runtime constraints on resources...

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