Workflows are defined by a YAML file checked into your repository and will run when triggered by an event in your repository, or they can be triggered manually, or on a defined schedule. GitHub Actions makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want.
In this intensive course, you will learn the fundamentals of GitHub Actions workflow in a compact timeframe. The course covers important concepts such as the workflow structure and components, events, jobs, steps, and runners. It also dives into various topics such as environment variables, GitHub variables, secure password storage, and manual approvals.
Additionally, the course teaches techniques for sharing values between steps and jobs and explains the use of self-hosted runners. The course concludes with a demonstration of preparing an infrastructure as code (IAC) template with Bicep and deploying it through a GitHub Action workflow. The course will equip you with the skills to automate your entire software workflow using GitHub Actions, from idea to production.
By the end of this course, you will have a solid understanding of how to use GitHub Actions to automate your software workflows.
All the resource files are added to the GitHub repository at: https://github.com/PacktPublishing/Learning-GitHub-Actions-for-DevOps-C…
Understand GitHub Action workflow basics
Learn about workflow components (event, job, step, runner)
Add a self-hosted runner and execute jobs using it
Design an IAC template with Bicep to deploy infrastructures
Build, push, and deploy Docker containers
Deploy a container to the Azure web app for optimal performance
Azure IAAS and PAAS administrators, application developers, and cloud computing enthusiasts will also gain a lot from this course.
To get the most out of this course, you should know about YAML file syntax; some basic understanding of the command line (Win CMD/Unix Shell) will help you quickly grasp the concepts; and Visual Studio Code should be installed on your laptop.