Learn GitLab for Auto DevOps using GitLab CLI

Learn GitLab for Auto DevOps using GitLab CLI

GitLab is a single application for the entire software development lifecycle. From project planning and source code management to CI/CD, monitoring, and security. With GitLab CI, it is easy to add build and deployment automation that triggers on every code change, helping you build high-quality, reliable software and deploy it to production at speed.

In this well thought out course, you will learn to use GitLab for implementing the DevOps lifecycle. You will begin with learning how to plan and organize new features, develop them and the application code in an automatic way, deploy and monitor the application in different environments, and refactor your application using GitLab. You will then learn to create a DevOps pipeline to automatically build, test, and deploy software to virtual machines and container environments.

Contents and Overview

This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.

In the first course, Learning GitLab, you will learn how to use GitLab to implement the DevOps culture. GitLab is a very famous tool that lets you cover the entire application development cycle. You will learn how to plan and organize new features, develop them, the application code in an automatic way, deploy and monitor the application in different environments, and refactor your application using only one tool GitLab.

The second course, Hands-On Auto DevOps with GitLab CI, will give you a hands-on tutorial on GitLab CI. You will use GitLab CI to create a DevOps pipeline to automatically build, test, and deploy software to virtual machines and container environments. You will explore the features of GitLab CI, including using runners to execute build jobs, creating multi-stage builds, and deploying to virtualized and containerized environments. You will see how easy it is to get started with GitLab CI by deploying your own runners in cloud environments or on your own servers, using Docker and Kubernetes or ordinary scripting.

By the end of this course, you'll be able to perform all from project planning and source code management to CI/CD, monitoring, and security for your projects.
Meet Your Expert(s):

We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:

• Bruno Lorenco Lopes graduated in Computing Engineering at the University of São Paulo (USP), with an M.Sc in Computer Science and Computational Mathematics at the same university. As a systems analyst, he has broad experience in software development, using Java, Groovy, and C/C++, and has automatized tests using Spock and JUnit. He is also an enthusiast of the DevOps culture and has been working with it since 2014, using tools such as GitLab, Gitflow, Jenkins, and Docker. He is very passionate about software development and tries to stay updated about the latest tools and technologies that may help to boost the productivity of his team and increase software quality. Currently, he also works as a specialization teacher at Federal University of São Carlos (UFSCar), teaching Docker.

• Alan Hohn is a Lockheed Martin Fellow who specializes in DevOps, microservice architecture, and agile. He is experienced at deploying and configuring GitLab CI and in helping, teams take advantage of its ability to automate application builds, tests, and deployments. He has extensive experience teaching technical topics and loves to combine examples and explanation to make any technology clearer.

Learn what GitLab is and how to use all of its functions to optimize and automate the DevOps lifecycle

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What you will learn

• Discover how to organize new features and bugs with Issue Board
• Use groups to control access to each project
• Time each phase in your development cycle with Cycle Analytics

Rating: 3.9

Level: Beginner Level

Duration: 7 hours

Instructor: Packt Publishing