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Learning DevOps

You're reading from   Learning DevOps The complete guide to accelerate collaboration with Jenkins, Kubernetes, Terraform and Azure DevOps

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Product type Paperback
Published in Oct 2019
Publisher Packt
ISBN-13 9781838642730
Length 504 pages
Edition 1st Edition
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Author (1):
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Mikael Krief Mikael Krief
Author Profile Icon Mikael Krief
Mikael Krief
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Toc

Table of Contents (23) Chapters Close

Preface 1. Section 1: DevOps and Infrastructure as Code FREE CHAPTER
2. DevOps Culture and Practices 3. Provisioning Cloud Infrastructure with Terraform 4. Using Ansible for Configuring IaaS Infrastructure 5. Optimizing Infrastructure Deployment with Packer 6. Section 2: DevOps CI/CD Pipeline
7. Managing Your Source Code with Git 8. Continuous Integration and Continuous Delivery 9. Section 3: Containerized Applications with Docker and Kubernetes
10. Containerizing Your Application with Docker 11. Managing Containers Effectively with Kubernetes 12. Section 4: Testing Your Application
13. Testing APIs with Postman 14. Static Code Analysis with SonarQube 15. Security and Performance Tests 16. Section 5: Taking DevOps Further
17. Security in the DevOps Process with DevSecOps 18. Reducing Deployment Downtime 19. DevOps for Open Source Projects 20. DevOps Best Practices 21. Assessments 22. Other Books You May Enjoy

Summary

In this chapter, we have seen an advanced use of containers with the use of Kubernetes, which is a container manager.

We discussed the different options for installing a small cluster on a local machine using Docker Desktop. Then, using the YAML specification file and the kubectl command, we realized the deployment of a Docker image in our Kubernetes cluster in order to run a web application.

We installed and configured Helm, which is the package manager of Kubernetes. Then, we applied it in practice with an example of a chart deployment in Kubernetes.

We also had an overview of AKS, which is a Kubernetes service, managed by Azure, with its creation and configuration.

Finally, we finished this chapter with an example of implementation on a CI/CD pipeline with Azure Pipelines, which deploys a containerized application in a Kubernetes cluster.

The next chapter begins a...

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