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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

Static Code Analysis with SonarQube

In the previous chapter, we looked at how to test the functionality of an API with Postman, a free tool for testing APIs, and the integration and automation of these tests in a CI/CD pipeline using Newman.

Testing the functionality of an API or application is good practice when we wish to improve the quality of applications. In a company, the quality of an application must be considered by all its members because an application that brings business value to users increases the company's profits.

However, we often neglect to test the quality of the code because we think that what matters is how the application works and not how it is coded. This way of thinking is a big mistake because poorly written code can contain security vulnerabilities and can also cause performance problems. Moreover, the quality of the code has an impact on its maintenance...

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