Supercharging Your Development Workflow with Github Actions
As a full-stack developer, you‘re always on the lookout for ways to optimize your development process. Writing high-quality code is important, but so is shipping that code to production quickly and consistently. That‘s where Github Actions comes in.
Github Actions is a powerful platform that allows you to automate your software development workflows right within Github. You can think of it as a personal assistant for your codebase – continuously checking for issues, running tests, deploying changes, and notifying your team along the way.
By leveraging Github Actions, you can free yourself from the toil of manual, repetitive tasks and focus on what matters most – building great software. Let‘s take a deep dive into how it works and explore some real-world examples of Github Actions in action.
The Basics: What Are Github Actions?
At its core, Github Actions enables you to trigger automated workflows based on events that happen within your Github repository. Here are the key components:
-
Workflows: A workflow is an automated process that you set up to run one or more jobs. It‘s defined by a YAML file in your repo‘s
.github/workflows
directory. -
Events: Workflows are triggered by events such as pushing code, creating a pull request, or releasing a new version. You specify which events you want to trigger your workflow in the YAML config.
-
Jobs: Each workflow consists of one or more jobs. A job is a set of steps that execute on the same runner (i.e. a virtual machine).
-
Steps: Steps are individual tasks that run as part of a job. This could be running a shell command, invoking an action, or even using a custom Docker container.
-
Actions: Actions are reusable units of code that can be shared across workflows and repositories. You can create your own custom actions or leverage the thousands of pre-built ones in the Github Marketplace.
So in a nutshell, you define your desired workflows as code, Github runs those workflows whenever the specified events occur, and the result is a fully automated development pipeline customized to your team‘s needs.
Real-World Examples: Github Actions in Practice
To make this more concrete, let‘s walk through a few common use cases for Github Actions and see how they can be implemented.
1. Continuous Integration & Deployment
One of the most popular applications of Github Actions is setting up a CI/CD pipeline to automatically test and deploy your code changes. Here‘s a simplified example:
name: CI/CD
on:
push:
branches: [ main ]
pull_request:
branches: [ main ]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Run tests
run: npm test
deploy:
needs: test
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Deploy to production
run: ansible-playbook site.yml
In this workflow, we‘ve defined two jobs – test
and deploy
. The test
job checks out the latest code and runs the npm test
command to execute the automated test suite. If the tests pass, the deploy
job then runs and deploys the code changes to production using an Ansible playbook.
By automating this entire process and running it on every push and pull request to the main branch, you can catch bugs early, deploy faster, and have more confidence in your production code.
2. Slack Notifications
Automated notifications help keep your team informed and aligned. With Github Actions, you can easily send rich, customized messages to Slack whenever key events happen. Here‘s an example:
name: Notify on Star
on:
watch:
types: [started]
jobs:
notify:
runs-on: ubuntu-latest
steps:
- name: Send Slack message
env:
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
uses: slackapi/[email protected]
with:
slack-bot-user-oauth-access-token: ${{ secrets.SLACK_BOT_TOKEN }}
slack-channel: github-activity
slack-text: >
:star: ${{ github.repository }} just got starred by ${{ github.actor }}!
The repo now has ${{ github.event.repository.stargazers_count }} total stars.
This workflow triggers whenever someone stars the Github repo. It sends a Slack message to the #github-activity
channel, mentioning who starred the repo and the updated star count. The Slack incoming webhook URL and bot token are securely stored as encrypted secrets.
You could set up similar notifications for new issues, pull requests, releases, failed CI builds, and more. The goal is to proactively surface important information to your team without requiring them to constantly check Github.
3. Scheduled Database Backups
In addition to event-driven workflows, Github Actions also supports scheduled jobs using cron syntax. This is handy for automating regular maintenance tasks like database backups:
name: Nightly Backup
on:
schedule:
- cron: ‘0 1 * * *‘
jobs:
backup:
runs-on: ubuntu-latest
steps:
- name: Dump database
run: pg_dump ${{ secrets.DATABASE_URL }} > backup.sql
- name: Upload to S3
uses: actions/upload-artifact@v3
with:
name: database-backup
path: backup.sql
On a nightly schedule, this workflow dumps the contents of a Postgres database (accessed via a secret connection string) to a SQL file. It then uploads that backup file to S3 as a job artifact using a pre-built action.
By automating routine tasks like this with Github Actions, you reduce the risk of human error and ensure they get done consistently without taking up engineering time.
Advanced Techniques: Optimizing Your Workflows
As you start using Github Actions more heavily, there are a few advanced techniques worth knowing to optimize your workflows:
Composable Workflows
Rather than defining a single monolithic workflow file, you can break your workflows into smaller, reusable units and invoke them as needed. This allows you to:
- Reduce duplication by extracting repeated setup steps and jobs into their own workflows
- Create modular workflows for different environments (e.g. dev vs prod) or job types (e.g. linting, unit tests, integration tests)
- Easily invoke workflows on-demand or from other workflows using the
workflow_dispatch
event trigger
Here‘s an example of invoking a reusable workflow:
name: Lint
on:
workflow_dispatch:
workflow_call:
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- uses: actions/setup-node@v2
- run: npm ci
- run: npm run lint
name: CI
on: [push]
jobs:
call-lint-workflow:
uses: ./.github/workflows/lint.yml
The lint.yml
workflow defines a reusable linting job that can be invoked manually or as a step in another workflow. The CI.yml
workflow then references and uses that lint workflow as part of a larger CI pipeline.
Expressions and Context
Github Actions provides a rich set of context objects and expression syntax that you can use to customize your workflows. This allows you to:
- Access information about the triggering event, the Github repository, environment secrets, and more
- Evaluate complex conditions to control workflow behavior and job execution
- Inject dynamic values into job steps and container configurations
For example, you could use expressions to conditionally run certain jobs only on the main
branch:
name: Main Gate
on:
pull_request:
types: [opened, synchronize]
jobs:
mainOnly:
if: github.ref == ‘refs/heads/main‘
runs-on: ubuntu-latest
steps:
- run: echo "This only runs on main!"
Or you could use the github
context to include commit details in a Slack deployment notification:
- name: Notify Slack on deploy
env:
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
uses: slackapi/[email protected]
with:
slack-bot-user-oauth-access-token: ${{ secrets.SLACK_BOT_TOKEN }}
slack-channel: eng-deployments
slack-text: |
Application version ${{ github.ref }} was just deployed to production by ${{ github.actor }}.
Commit message: ${{ github.event.head_commit.message }}
Compare URL: ${{ github.event.compare }}
The ability to access granular context data and dynamically alter your workflow execution provides a ton of flexibility in automating even the most complex development processes.
Ecosystem: Actions, Integrations, and Beyond
While we‘ve focused mainly on creating your own workflows, it‘s worth noting the extensive ecosystem that‘s evolved around Github Actions:
-
Github Marketplace: Browse and use over 12,000 pre-built actions for every use case imaginable – from code scanning to Kubernetes deployments to automated release notes.
-
Self-hosted runners: Run your workflows on your own infrastructure for tighter control over the execution environment and networking. Github provides runner images for every major OS.
-
3rd party integrations: Github Actions ties in natively to many of the most popular developer tools and services, from AWS and Azure to Jira and PagerDuty. And of course, you can plug in any other service using webhooks and APIs.
-
CI/CD providers: While Github Actions can largely replace standalone CI/CD platforms, you can also augment existing pipelines in CircleCI, Jenkins, Travis, and others by kicking them off with Github events.
This vibrant ecosystem enables you to quickly stitch together your ideal development workflow using off-the-shelf components while still having the power to customize every aspect yourself as needed.
Conclusion: Automate All the Things
We‘ve covered a lot of ground in this whirlwind tour of Github Actions. From the core concepts and syntax to practical use cases and advanced techniques, you now have a solid foundation for applying Github Actions to your own projects.
But this is really just the tip of the iceberg. With Github Actions, the only limit is your imagination. Any repetitive task that eats up developer cycles – from code linting to release management to team notifications – is a prime candidate for automation.
So start experimenting and see what you can streamline! Share your favorite automations and learn from what others in the Github community have built. Over time, you‘ll likely find that Github Actions becomes an indispensable part of your development process.
By investing in Github Actions today, you‘ll reap the benefits of faster, more consistent, and more enjoyable development workflows for years to come. Here‘s to automating all the things!