Believe me, I did that, a lot, in the past and it’s not fun. Needless to say that it’s a tedious and lengthy process. The long answer 👉 : you push your code to Github, connect to a server you’ve already created, pull the new version of the code, run the tests, and wait for the final output. Let’s have an example here: imagine that every time you push a new code, you’d like to execute a series of unit tests on it on an Ubuntu machine that has a specific configuration. The goal of adding Github Actions is basically to automate tasks that you’d like to be repeatedly run at every event. Why are Github Actions useful? A (very) common situation Here’s a diagram that represents a Github workflow and outlines the previously mentioned components. Runners are hosted in the cloud but they can also be self-hosted in custom cloud environments. Each runner is responsible for executing a given job. → Runners Runners are processes on a server that run the workflow when it’s triggered. A workflow can have multiple jobs that run in parallel. Each step is either a script or a Github action. → Jobs A job is a series of tasks that gets executed in a workflow upon being triggered by an event. A repository can also have multiple workflows. github/workflows directory at the root of the repository. Workflows are defined in YAML files and are stored in a. → Workflows A workflow is an automated process composed of a series of jobs that gets executed when it’s triggered by an event.
The list of triggers is much longer: you can check it out here. This goes from pushing a code, creating a branch, opening a pull request, and even commenting on an issue.
→ Events An event is anything that can happen on a Github repository.
#Github actions marketplace full#
To get a full picture of what Github Actions is, it helps to break it down into its several components: But it doesn’t stop there: it allows you also to run any arbitrary code on your repository when a specific event happens. Github Actions is a platform that automates the build, test, and deployment of software.
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