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You're reading from Mastering GitLab 12 Implement DevOps culture and repository management solutions

Product type Paperback

Published in Aug 2019

Publisher Packt

ISBN-13 9781789531282

Length 608 pages

Edition 1st Edition

Tools

Gitlab

Concepts

DevOps

Author (1):

Joost Evertse

View More author details

Table of Contents (30) Chapters

Preface

1. Section 1: Install and Set Up GitLab On-Premises or in the Cloud FREE CHAPTER

2. Introducing the GitLab Architecture

3. Installing GitLab

4. Configuring GitLab Using the Web UI

5. Configuring GitLab from the Terminal

6. Section 2: Migrating Data from Different Locations

7. Importing Your Project from GitHub to GitLab

8. Migrating from CVS

9. Switching from SVN

10. Moving Repositories from TFS

11. Section 3: Implement the GitLab DevOps Workflow

12. GitLab Vision - the Whole Toolchain in One Application

13. Create Your Product, Verify, and Package it

14. The Release and Configure Phase

15. Monitoring with Prometheus

16. Integrating GitLab with CI/CD Tools

17. Section 4: Utilize GitLab CI and CI Runners

18. Setting Up Your Project for GitLab Continuous Integration

19. Installing and Configuring GitLab Runners

20. Using GitLab Runners with Docker or Kubernetes

21. Autoscaling GitLab CI Runners

22. Monitoring CI Metrics

23. Section 5: Scale the Server Infrastructure (High Availability Setup)

24. Creating a Basic HA Architecture Using Horizontal Scaling

25. Managing a Hybrid HA Environment

26. Making Your Environment Fully Distributed

27. Using Geo to Create Distributed Read-Only Copies of GitLab

28. Assessments

29. Other Books You May Enjoy

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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

The rest of the chapter is locked

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Authors (1)

Evertse

Joost Evertse is an all-round professional with over 20 years of experience in IT in the financial and telecom sectors. He has worked for big and small organizations and has lived in different worlds, including Unix, Oracle, Java, and Windows. Creating order from chaos has been a big focus during his system-engineering years. After 10 years of system administration, he moved into software development and started using CI/CD tools, including GitLab. At the end of 2016, he started at a significant financial company in the GitLab team, shifting his focus more toward the entire CI/CD pipeline, with the mission of making the CI/CD platform more stable and highly available. His team eventually migrated GitLab to a private cloud and improved release cycles.

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