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

Exploring SonarQube

SonarQube is an open source tool from SonarSource (https://www.sonarsource.com/) that's written in Java. It allows us to perform static code analysis to verify the quality and security of an application's code.

SonarQube is designed for developer teams and provides them with a dashboard and reports that are customizable so that they can present the quality of the code in their applications.

It allows for the analysis of static code in a multitude of languages (over 25), such as PHP, Java, .NET, JavaScript, Python, and so on. The complete list can be found at https://www.sonarqube.org/features/multi-languages/. In addition, apart from code analysis with security issues, code smell, and code duplication, SonarQube also provides code coverage for unit tests.

Finally, SonarQube integrates very well into CI/CD pipelines so that it can automate code analysis...