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github-actions-demo's Introduction

Microsoft Learn's GitHub Actions Collections

https://learn.microsoft.com/en-us/collections/n5p4a5z7keznp5

GitHub Actions Document

https://docs.github.com/en/actions

The components of GitHub Actions

Workflows

A workflow is a configurable automated process that will run one or more jobs. Workflows are defined by a YAML file checked in to your repository and will run when triggered by an event in your repository, or when they can be triggered manually, or at a defined schedule. Workflows are defined in the .github/workflows directory in a repository, and a repository can have multiple workflows, each of which can perform a different set of tasks.

Events

An event is a specific activity in a repository that triggers a workflow run. For example, an activity can originate from GitHub when someone creates a pull request, opens an issue, or pushes a commit to a repository. You can also trigger a workflow to run on a schedule, by posting to a REST API, or manually on Actions UI.

Jobs

A job is a set of steps in a workflow that is executed on the same runner. Each step is ethier a shell script that will be executed, or an action that will be run. Since each step is executed on the same runner, you can share data from one step to another. You can configure job's dependencies with other jobs; by default, jobs have no dependencies and run in parallel with each other. When a job takes a dependency on another job, it will wait for the dependent job to complete before it can run.

Actions

An action is a custom application for the GitHub Actions platform that performs a complex but frequently repeated task. Actions are used to help reduce the amount of repetitive code that you write in your workflow files.An action can pull your git repository from GitHub, set up the correct toolchain for your build environment, or set up the authentication to your cloud provider.

Runners

A runner is a server that runs your workflows when they're triggered. Each runner can run a single job at a time. Each workflow run executes in a fresh, newly-provisioned virtual machine.

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