On this page
What GitHub Actions can do for you
GitHub Actions is the automation platform built into GitHub. Workflows are YAML files in your repository that run when something happens: a push, a pull request, a release tag, a schedule or a manual trigger. They can run tests, build Docker images, publish packages, deploy applications and run routine jobs such as nightly reports or data syncs.
Because workflows live alongside the code, changes to automation are reviewed like any other change, and there is no separate CI server to maintain.
Who benefits
- Teams whose code is on GitHub but who still deploy by hand.
- SaaS products that need tests on every pull request and automatic staging deployments.
- Agencies with many similar client repositories that should share one workflow.
- Businesses running scheduled scripts on a server via cron that would be easier to see and manage in GitHub.
- Open-source or internal libraries that need automated releases and versioning.
A frequent starting point is a set of shell scripts that one developer runs locally before each release. Turning those scripts into workflows keeps the knowledge, removes the dependency on one laptop and gives everyone a visible history of each run.
What’s included
- Workflows for lint, test and build on pull requests, with required status checks.
- Release workflows: build artefacts or Docker images, tag versions and publish.
- Deployment workflows to servers, container registries or cloud platforms.
- Scheduled workflows for recurring jobs, with failure notifications.
- Dependency caching and parallel jobs to keep runs short.
- Secrets and environment protection rules for staging and production.
- Permissions for the workflow token reduced to what each job needs.
- Reusable workflows or composite actions where several repositories share steps.
Where you already have workflows, we can review and tidy them rather than starting over, removing duplication, fixing slow steps and tightening permissions.
How we work
- Review the repository, current scripts and any existing workflows.
- Agree triggers, environments, required checks and who can approve releases.
- Write workflows, starting with pull request checks, then release and deployment.
- Tune caching and job structure so runs are fast enough that nobody is tempted to skip them.
- Document each workflow and how to add new steps safely.
Workflows are introduced through pull requests like any other change, so your team can review them, ask questions and see them run on a branch before they affect the main line of development. Nothing about your release process changes until you are comfortable with it.
Tools and integrations
Workflows commonly integrate with Docker and GitHub Container Registry, cloud providers such as AWS, Google Cloud and Azure using short-lived OpenID Connect credentials rather than long-lived keys, SSH deployment to your own servers, and Terraform for infrastructure changes. Notifications can go to Slack, Telegram or email. Where GitHub-hosted runners are not suitable, self-hosted runners can be set up on your own infrastructure.
If your code lives on GitLab instead, the same ideas apply through GitLab CI, and we can set that up just as readily.
Keeping workflows secure
Workflows often hold the keys to production, so they deserve the same care as the application itself. We apply a few consistent practices:
| Practice | Why it matters |
|---|---|
| Least-privilege token permissions | Limits what a compromised or buggy workflow can change |
| Protected environments for production | Only approved branches and people can trigger production deploys |
| Third-party actions pinned to specific versions | Prevents an upstream change silently altering your pipeline |
| OIDC for cloud access | Avoids long-lived cloud keys stored as secrets |
| Care with pull requests from forks | Stops untrusted code from reading secrets |
What affects timeline and cost
A standard test-and-deploy workflow for one repository is quick. More time is needed for many repositories, monorepos with several applications, complex release processes, self-hosted runners or migrating from another CI platform. GitHub includes a monthly allowance of runner minutes on many plans; usage beyond that is billed by GitHub.
Migrating from another CI system is usually straightforward for build and test steps. Deployment steps take more care because they touch credentials and production systems, so we run old and new pipelines side by side briefly before switching over.
Common mistakes
- Leaving default token permissions broader than any job needs.
- Copying the same workflow into many repositories, so a fix has to be made many times.
- No caching, so every run reinstalls dependencies from scratch.
- Scheduled workflows that fail silently because nobody is notified.
Related: CI/CD Pipeline Setup, Security Auditing and API Development. See all DevOps & Deployment services, the DevOps guide, or contact us.
Frequently asked questions
Is GitHub Actions free?
GitHub includes free runner minutes on many plans, and public repositories have generous allowances. Heavy usage on private repositories is billed by GitHub.
Can Actions replace our cron jobs?
Often, yes, for jobs that do not need to run on a specific server. Scheduled workflows give you logs, history and failure alerts in one place.
Can workflows deploy to our own server?
Yes, typically over SSH with a restricted deploy key, or by pushing a Docker image that the server pulls.
We have many similar repositories. Can they share workflows?
Yes. Reusable workflows let you define the process once and call it from each repository, so updates happen in one place.
Are our secrets safe in GitHub Actions?
Secrets are encrypted and masked in logs. Risk comes mainly from broad permissions or untrusted code, which we guard against in the workflow design.
Talk to us about github actions
Workflows for building, testing, releasing and running scheduled jobs.