Book Image

Learning DevOps

By : Mikael Krief
Book Image

Learning DevOps

By: Mikael Krief

Overview of this book

The implementation of DevOps processes requires the efficient use of various tools, and the choice of these tools is crucial for the sustainability of projects and collaboration between development (Dev) and operations (Ops). This book presents the different patterns and tools that you can use to provision and configure an infrastructure in the cloud. You'll begin by understanding DevOps culture, the application of DevOps in cloud infrastructure, provisioning with Terraform, configuration with Ansible, and image building with Packer. You'll then be taken through source code versioning with Git and the construction of a DevOps CI/CD pipeline using Jenkins, GitLab CI, and Azure Pipelines. This DevOps handbook will also guide you in containerizing and deploying your applications with Docker and Kubernetes. You'll learn how to reduce deployment downtime with blue-green deployment and the feature flags technique, and study DevOps practices for open source projects. Finally, you'll grasp some best practices for reducing the overall application lead time to ensure faster time to market. By the end of this book, you'll have built a solid foundation in DevOps, and developed the skills necessary to enhance a traditional software delivery process using modern software delivery tools and techniques
Table of Contents (23 chapters)
Free Chapter
1
Section 1: DevOps and Infrastructure as Code
6
Section 2: DevOps CI/CD Pipeline
9
Section 3: Containerized Applications with Docker and Kubernetes
12
Section 4: Testing Your Application
16
Section 5: Taking DevOps Further

Summary

In this chapter, we introduced Postman, which is an excellent tool for testing APIs. We created a Postman account and installed it locally.

Then, we created collections and environments, in which we created requests that contain the settings of our APIs that are to be tested.

We also talked about automating these tests using the Newman command-line tool, with the export of Postman collections and environments.

Finally, in the last part of this chapter, we created and executed a CI/CD pipeline in Azure DevOps that automates the execution of API tests in a DevOps process.

In the next chapter, we will stay on the subject of testing, and we will look at the analysis of static code with a well-known tool called SonarQube.