How long does a pipeline buildout take?

For a typical startup with one primary application, 2–3 weeks from kickoff to fully automated production deploys. More complex multi-service architectures take 4–6 weeks.

Do you work with monorepos?

Yes. Monorepo CI/CD is more complex but it is a solved problem. We build pipelines that only run relevant jobs when specific paths change, keeping your build times fast as the repo grows.

What if our app is not containerized?

We handle that as part of the engagement. Containerizing your app is typically a prerequisite to a modern CI/CD pipeline, and it is included in the buildout scope.

Can you work with our existing staging environment?

Yes. We integrate with whatever staging setup you have. If your staging environment is broken or non-existent, we set that up first - it is impossible to run a safe pipeline without a staging environment.

CI/CD Pipeline Automation

Your engineers commit code. Then someone SSHes into a server, runs a script, watches logs, and hopes nothing breaks. Every time. We fix that.

Get Started

The Problem

Manual deploys cost more than the time they take. Engineers batch features to avoid deploying, which makes each release bigger and riskier. A 30-minute deploy that fails once a week is actually a tax on every PR your team ships.

The fix is not complicated - it is just work. Containerise the app, wire up a proper pipeline, add quality gates, connect it to your staging environment. Takes 2–3 weeks. Teams who do it typically triple their deploy frequency within a month.

We have done this for Node.js monoliths, Python APIs, Go microservices, and everything in between. The specifics differ. The pattern is the same.

Our Approach

Map your current deploy process

We walk through exactly how code goes from a laptop to production - every manual step, every handoff, every place things break. Most teams are surprised how many steps there are.

Build the pipeline in your existing toolchain

GitHub Actions if you are on GitHub. GitLab CI if you are on GitLab. We do not force tool migrations. The pipeline runs tests, builds your Docker image, and deploys to staging on every merge to main.

Add quality gates and production deploy

Production deploys are gated behind test passage, image scanning, and (optionally) manual approval. We configure rollback so a bad deploy can be reverted in under two minutes.

Hand off with documentation

We monitor the first 50 runs, fix edge cases, and hand over a runbook that covers every common failure scenario. Your team should be able to maintain and extend the pipeline on day one.

What You Get

Fully automated CI/CD pipeline in your existing toolchain
Automated test execution on every pull request
Docker build and push to your container registry
Staging environment deployment with environment variable management
Production deployment with rollback capability
Slack/PagerDuty notifications for pipeline failures
Runbook documentation for common failure scenarios

Tech Stack

GitHub ActionsGitLab CICircleCIDockerArgoCDHelmAWS ECRGCR

Real Example

93% faster deploys

Context: Series B fintech with 18 engineers deploying twice a week via manual scripts.

Rebuilt their entire pipeline in 3 weeks. Deployments went from 45 minutes with 30% failure rate to 3 minutes with 99.8% success rate.

FAQ

Whatever is already in your stack. GitHub Actions, GitLab CI, CircleCI, Buildkite - we have built production pipelines on all of them. We will not force a migration unless there is a compelling technical reason.

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