Our pipeline is in CircleCI / GitLab CI. Do we need to move to GitHub Actions?

No. We have a strong preference for GitHub Actions because it's where most teams already host their code, but we can audit and improve your existing pipeline on whatever platform you use.

How do you handle secrets in the pipeline?

We use your CI platform's secret store (e.g. GitHub Actions secrets) for short-lived credentials and OIDC for AWS access. No long-lived keys stored anywhere. For Terraform secrets we use SOPS.

Our test suite is slow. Can you help speed it up?

Yes. Test suite performance is usually the biggest driver of pipeline cost and developer frustration. We look at parallelisation, database reset strategies, and unnecessary compilation steps.

We have a monorepo. Can the pipeline run only the checks relevant to each PR?

Yes. We adapt the pipeline to your repository structure. For a monorepo, we set up path-based filtering so a PR only runs the checks that apply to the code it actually changed, no waiting on the whole suite for a one-line docs edit. We pair that with branch protection and required status checks, so the right gates are always enforced. The result is fast, non-blocking PRs without dropping any of the checks that matter.

What does 'plan/apply gating' mean in practice?

When a PR modifies Terraform, we run a plan and post the output as a PR comment. A human reviews the planned changes and approves a deployment. Then the pipeline applies the plan. No infrastructure changes happen without a human seeing the diff first.

04 · Delivery Automation

CI/CD Audits & Automation

Replace brittle release rituals with fast, observable pipelines that scale beyond the person who created them.

GitHub Actions Releases Automation

Talk to a BEAMOps specialist

Result

Boring, dependable releases

/ / How we work

Clear from first conversation to handover.

You always know what's happening, why it matters, and what comes next.

M / 01

Audit

We review your current pipeline, identify flakiness, bottlenecks, and missing steps, and deliver a written report.
M / 02

Rebuild

We rewrite the pipeline on your CI/CD platform (e.g. GitHub Actions), test it against your staging environment, and review it with your team before switching over.
M / 03

Handover

We document the pipeline and walk through the runbook so any engineer on your team can operate and extend it.

/ / A good fit?

Built for teams at an inflection point.

01
Teams whose CI pipeline is flaky, slow, or understood by only one person
02
Engineering leads preparing for SOC 2 or other delivery process audits
03
Companies scaling past the point where manual deploys are acceptable
04
Teams that want a solid CI/CD setup (e.g. GitHub Actions) but don't have the time to set it up properly

/ / What's included

No mystery.
Just the work.

We shape every engagement around your context, but these are the foundations you can expect.

|> End-to-end pipeline audit with written findings
01
|> CI/CD workflow design and implementation, e.g. GitHub Actions (build, test, lint, release)
02
|> Repo-aware pipelines: monorepo path filtering so each PR only runs the checks its diff requires
03
|> Mix release and Docker image build pipeline
04
|> Automated database migration step with rollback
05
|> Terraform plan/apply gating with PR comments and approval gates
06
|> Documentation and runbook for on-call engineers
07

/ / Common questions

Things you might be wondering.

: No. We have a strong preference for GitHub Actions because it's where most teams already host their code, but we can audit and improve your existing pipeline on whatever platform you use.
: We use your CI platform's secret store (e.g. GitHub Actions secrets) for short-lived credentials and OIDC for AWS access. No long-lived keys stored anywhere. For Terraform secrets we use SOPS.
: Yes. Test suite performance is usually the biggest driver of pipeline cost and developer frustration. We look at parallelisation, database reset strategies, and unnecessary compilation steps.
: Yes. We adapt the pipeline to your repository structure. For a monorepo, we set up path-based filtering so a PR only runs the checks that apply to the code it actually changed, no waiting on the whole suite for a one-line docs edit. We pair that with branch protection and required status checks, so the right gates are always enforced. The result is fast, non-blocking PRs without dropping any of the checks that matter.
: When a PR modifies Terraform, we run a plan and post the output as a PR comment. A human reviews the planned changes and approves a deployment. Then the pipeline applies the plan. No infrastructure changes happen without a human seeing the diff first.

/ / Keep exploring

Observability & Instrumentation