Book Image

Mastering GitLab 12

By : Joost Evertse
Book Image

Mastering GitLab 12

By: Joost Evertse

Overview of this book

GitLab is an open source repository management and version control toolkit with functions for enterprises and personal software projects. It offers configurability options, extensions, and APIs that make it an ideal tool for enterprises to manage the software development life cycle. This book begins by explaining GitLab options and the components of the GitLab architecture. You will learn how to install and set up GitLab on-premises and in the cloud, along with understanding how to migrate code bases from different systems, such as GitHub, Concurrent Versions System, Team Foundation Version Control, and Subversion. Later chapters will help you implement DevOps culture by introducing the workflow management tools in GitLab and continuous integration/continuous deployment (CI/CD). In addition to this, the book will guide you through installing GitLab on a range of cloud platforms, monitoring with Prometheus, and deploying an environment with GitLab. You'll also focus on the GitLab CI component to assist you with creating development pipelines and jobs, along with helping you set up GitLab runners for your own project. Finally, you will be able to choose a high availability setup that fits your needs and helps you monitor and act on results obtained after testing. By the end of this book, you will have gained the expertise you need to use GitLab features effectively, and be able to integrate all phases in the development process.
Table of Contents (30 chapters)
Free Chapter
1
Section 1: Install and Set Up GitLab On-Premises or in the Cloud
6
Section 2: Migrating Data from Different Locations
11
Section 3: Implement the GitLab DevOps Workflow
17
Section 4: Utilize GitLab CI and CI Runners
23
Section 5: Scale the Server Infrastructure (High Availability Setup)

The Release and Configure Phase

In this chapter, we will take automation one step further than before. We will start by showing you how to deploy your code to a staging environment after testing and ultimately to production. This is a basic concept in the DevOps transition. We will finish this chapter by explaining about Auto DevOps, a way to fully automate the deployment to a Kubernetes cluster with integrated testing, security scanning, and even performance tests. This is considered the optimal DevOps path by GitLab.

In this chapter, we will cover the following topics:

  • Continuous Deployment with deployment to Amazon Web Services
  • Auto DevOps with the use of a Kubernetes cluster in Google Cloud