Skip to main content

CI/CD Automation

We design and build the pipeline that tests, packages and ships your software, with the gates that catch problems early and the rollback that makes shipping a low-stakes decision.

Timeline
4 to 8 weeks
Investment
Fixed-scope engagements from EUR 12,000
Delivered by
2 engineers, embedded with yours
Ends with
Documented handover

From merged pull request to production, with nobody watching a terminal.

A release process that needs a human at every step does not scale, and it quietly shapes everything around it. Teams batch changes because releasing is expensive, batches make failures harder to diagnose, and harder failures make everyone even more cautious about releasing.

Breaking that loop is mostly mechanical. Automate the tests, cache the builds, make deployment a single reversible action, and measure how long the whole thing takes so improvement is visible rather than felt.

This is for you if

  • Releases are scheduled rather than continuous, and everyone is slightly tense on release day.
  • The build takes long enough that developers context-switch while waiting for it.
  • Rolling back means redeploying an older branch and hoping.
  • Nobody can say how long a change takes to get from merge to production.

Everything below is in the written scope before the engagement starts.

If something you need is missing from this list, it is a conversation during the proposal rather than a change request halfway through the build.

  • Pipeline design and build

    A complete path from commit to production for each service, built on your existing CI platform where it is doing the job and migrated where it is not.

  • Automated quality gates

    Unit, integration and smoke tests wired into the pipeline with clear ownership, so a failing gate names the team that can fix it.

  • Build caching and parallelisation

    Dependency caching, layer reuse and parallel test execution, tuned against your actual build so the pipeline is fast enough that people wait for it.

  • Artifact and version management

    Immutable, versioned build artifacts in a registry, so the thing you tested is provably the thing that reaches production.

  • Progressive delivery

    Blue-green or canary releases with automated health checks, so a bad release is caught by the pipeline rather than by your customers.

  • Delivery metrics

    Deployment frequency, lead time, change failure rate and time to restore, reported automatically so improvement is measured rather than asserted.

A 4 to 8 weeks engagement, phase by phase.

Most CI/CD engagements run four to eight weeks. We start with the service that hurts most, get it shipping automatically, then apply the same pattern to the rest of your estate.

  1. 01

    Pipeline audit

    We measure what you have today: build times, failure rates, manual steps and where releases actually stall. The baseline matters, because it is what the result is judged against.

  2. 02

    Reference pipeline

    One service taken end to end, including tests, artifact publishing, deployment and rollback. This becomes the pattern every other service follows.

  3. 03

    Rollout

    The remaining services onto the same pattern, with your engineers doing progressively more of the work as the pattern becomes familiar.

  4. 04

    Tuning and handover

    Caching and parallelisation tuned against real build data, delivery metrics turned on, and the pipeline documented for the people who will change it next.

What changes for your team once this is in place.

These are the outcomes clients tell us mattered most six months after the engagement ended, rather than the ones that sound best in a proposal.

Smaller changes, calmer releases

When shipping is cheap, teams ship smaller increments, and smaller increments are dramatically easier to diagnose when something goes wrong.

Failures caught before customers see them

Automated health checks on a canary release turn most bad deployments into a rolled-back non-event.

Time returned to the roadmap

The hours currently spent shepherding releases go back into building the product.

Evidence for the audit

A pipeline that records what was built, tested, approved and deployed produces most of the change-management evidence auditors ask for.

Three things people ask before committing.

If your question is not here, ask it on the introductory call. We would rather answer it before a proposal than after one.

Which CI platform do you use?

Yours, in most cases. We work with GitHub Actions, GitLab CI, Bitbucket Pipelines, CircleCI, Jenkins and Azure DevOps. Migrating platforms is a real cost and we only recommend it when the current one is genuinely blocking you, not because we prefer a different one.

Our test suite is slow and unreliable. Do we need to fix that first?

No, that is usually part of the work. We start by measuring which tests are slow and which are flaky, then quarantine the unreliable ones so they stop blocking releases while your team fixes them. A pipeline nobody trusts gets ignored, so trust is the first thing we rebuild.

Do you support monorepos?

Yes. For monorepos we set up change detection so only the affected services build and deploy, which is usually the single biggest saving available. We work with Turborepo, Nx, Bazel and plain path-filter approaches depending on what fits your repository.

Request a quote

Fixed-scope engagements from EUR 12,000. 4 to 8 weeks.

Ready to scope CI/CD Automation?

Send us the shape of the problem and we will come back with a written scope, a timeline with dates, and a fixed price. The introductory call is free.