Overview
Manual deployments tend to break at the worst time, typically when the only engineer familiar with the process is away. We automate up to three repositories: every pull request is linted and tested, merged code produces tagged container images, automatic staging updates and production gated behind an approval. Rollback becomes a single run, secrets are relocated to scoped environments, and smart caching keeps pipelines fast enough that your team relies on them.
What you receive
- Lint, unit test and build steps triggered on every new pull request
- Images pushed to your container registry after each build
- Staging refreshed automatically; production waits for a named approver
- One-step rollback that restores the previous working release
- Secrets placed in scoped environments, each granting minimal permissions
- Caching configured so each pipeline run finishes within ten minutes
- Branch protection rules and required checks enabled
How it runs
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Step - 01
Review
We examine how you build and release today, manual steps included.
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Step - 02
Build
We develop pipelines on a separate branch, so production stays untouched throughout.
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Step - 03
Cut over
Staging moves first, then production after one complete successful cycle.
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Step - 04
Document
You get a diagram of the pipeline plus brief instructions for onboarding services.
Timeline: 8 working days, counted from the day we receive what we need from you.
Is it a fit?
A good match for
- Teams still deploying by logging into servers and running scripts
- Repositories with tests that never actually get run
- Companies needing an audit trail of every release and its approver
What we need from you
- Admin rights on the repositories and current deployment credentials
- A description of your current release steps, however informal
- A named approver for production releases
Why it helps
- Faulty changes get caught during review, well ahead of your users
- Releases no longer depend on a single person being available
- Rolling back becomes routine rather than a crisis
Questions
The pipeline is still useful, since linting and build verification run on every change. Writing a test suite is not part of this scope, but it can be added later as separate work.
Up to three repositories. Each gets pull request checks, image builds, staging deployment and an approval step before anything reaches production.
You decide. Before we start, you name the people allowed to sign off a production release, and the pipeline enforces that approval step for every deployment.