GitHub Actions

GitHub Actions runs a series of steps automatically on every code change: run the tests, check quality, build the application, deploy it. For an SMB, the concrete change isn't in the tool: going live stops being a tense moment where someone connects to a server and types commands from memory. It becomes a repeated, identical operation whose failure is visible before the customer discovers it.

• →GitLab CIThe direct counterpart if the repository lives on GitLab, with a mature self-hosted option
• →VercelFor a front end, deployment on every push is already built in: no pipeline to writeView page
• →Woodpecker / DroneLightweight self-hosted pipeline when repository and execution must stay with you
• →AnsibleFor the deployment itself, called by the pipeline rather than rewritten inside itView page

1. 01

   Start with verification, not deployment: tests and quality first — that's where confidence comes from

2. 02

   A readable pipeline rather than a clever one: it will be read during an incident, by someone in a hurry

3. 03

   Secrets out of the repository, scoped to the environment concerned

4. 04

   Staging deployed automatically, production triggered explicitly

5. 05

   Rollback planned and tested: a pipeline that only knows how to deploy is half a pipeline

• GitHub Actions or GitLab CI?

  The answer follows where your code lives: each platform integrates its own pipeline, and crossing two adds complexity for nothing. Both cover the same needs for an SMB. GitLab offers a mature self-hosted option if repository sovereignty matters; GitHub has the richest ecosystem of reusable actions.
• What does it cost to run?

  It's a running cost billed by execution minute, with a monthly quota included in GitHub plans, and free on public repositories. For an SMB project whose tests take a few minutes, the included quota is generally enough. A runner installed on your own server brings that cost down to the price of the machine.
• What does setting up a deployment pipeline cost?

  The tool doesn't drive it; the state of the project does: whether a test suite exists, how many environments to serve, how complex the current deployment is (database migrations, uploaded files, caches to clear) and what rollback is required. The amount is set in the quote, after a free initial scoping session that puts the scope in writing before any commitment.
• Do I need tests before setting up CI?

  No — often the opposite works better. A pipeline that builds the application and checks it starts already catches a good share of the crude regressions. Tests are added afterwards, one at a time, as real incidents point out what deserved checking. Waiting for a complete suite before starting means never starting.
• Does it replace a monitoring tool?

  No. The pipeline tells you the deployment went through; it says nothing about what happens next in production. These are two distinct needs, and they answer each other: monitoring detects the degradation, the pipeline lets you fix it fast and without improvising.