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

Testing APIs with Postman

In the previous chapters, we talked about DevOps culture and Infrastructure as Code (IaC) with Terraform, Ansible, and Packer. Then, we saw how to use a source code manager with Git, and the implementation of a CI/CD pipeline with Jenkins and Azure Pipelines. Finally, we showed the containerization of applications with Docker, and their deployment in a Kubernetes cluster.

If you are a developer, you should realize that you use APIs every day, either for client-side use (where you consume the API) or as a provider of the API.

An API, as well as an application, must be testable, that is, it must be possible to test the different methods of this API in order to verify that it responds without error, and that the response of the API is equal to the expected result.

In addition, the proper functioning of an API is much more critical to an application, because...