Releases that are routine, not a scheduled risk.
When deploying depends on one person, a long checklist or a weekend window, teams release less often and every release carries more risk. We build pipelines that make shipping a small, repeatable step.
- Built in your repositories
- Rollback planned from the start
- Documented and handed over
Shipping shouldn't need a ceremony.
Manual deployments, flaky builds and environments that differ in small ways all push teams towards bigger, rarer releases.
Bigger releases are harder to test, harder to roll back and harder to debug when something goes wrong — so they get rarer still.
Common challenges
Manual deployment steps
Releases follow a document or one engineer's memory, and a missed step reaches production.
Slow or flaky builds
Pipelines take so long, or fail at random so often, that people stop trusting them.
Environments that drift
Staging and production differ, so passing in one says little about the other.
No clean way back
Rolling back means a late-night manual fix instead of redeploying the last good version.
One path from merge to production.
Every change is built, tested and deployed the same way — by the pipeline, not by hand.
Speak with an engineer →Map the current release
We follow a change from commit to production and write down every manual step, wait and failure point.
Build the pipeline
Build, test and deploy stages in GitHub Actions, GitLab CI or Jenkins, using the tools you already have where they fit.
Package once, deploy everywhere
Containerised builds, with the same artefact promoted from staging to production.
Release safely
Approvals where you want them, health checks after each deploy, and a rollback that is one tested step.
What the work involves.
We work with what you already run wherever possible. If a tool has to change, we tell you why and what it costs.
- GitHub Actions
- GitLab CI
- Jenkins
- Docker
- Kubernetes
- ECS
- Terraform
- Sentry
What changes when it's done.
Smaller, more frequent releases
Changes ship when they are ready, not when a release window opens.
Repeatable deployments
The same steps run every time, whoever starts the release.
Faster feedback
Tests run on every change, so problems surface in review, not in production.
A rollback you've tested
Going back to the last good version is part of the pipeline, not an improvisation.
Is your release process slowing the team down?
Describe how a change reaches production today. An engineer will reply within one business day with where a pipeline would help most.