CI/CD automation
A pipeline should be boring: reproducible builds, progressive rollouts and a rollback nobody has to think about.
When to call us
- Builds are flaky or take longer than the tests
- Deploys need a person and a checklist
- Rollbacks take longer than the outage
What you get
- 01Pipeline architecture with caching and reproducible builds
- 02Progressive delivery: canary, blue-green, feature flags
- 03Automated rollback tied to SLOs
- 04Pipeline metrics: lead time, change failure rate, MTTR
Typical tooling
GitHub Actions · GitLab CI · Argo Rollouts · Flagger · Bazel
We work in your existing stack first. New tools are introduced only when the assessment shows a measurable gap.
How it runs
Same four phases, scoped to this practice.
- 01 2–3 wks
Assess
Architecture review, cost baseline, risk register. A written report you own.
- 02 3–6 wks
Design
Target architecture, migration waves, SLOs and a delivery plan your team reviews.
- 03 Scoped
Deliver
Embedded engineers ship alongside yours. Everything as code, everything reviewed.
- 04 Ongoing
Operate
Hand over to your team, or keep us on 24/7. Runbooks and on-call either way.
Related work
AI code review with Amazon Bedrock, without code leaving the company
Read the case study →
Common questions
Do you work with our existing team?
Always. Our engineers work in your repositories and review processes. Knowledge stays with you when we leave.
Which cloud do you recommend?
We are partners of AWS and Google Cloud and work on Microsoft Azure every day, so the recommendation can follow your workloads, skills and contracts rather than ours.
How soon can you start?
Assessments typically begin within two weeks of a signed scope. Delivery teams are planned one quarter ahead.