How long before we notice a difference?

Build times usually drop in the first fortnight, because that’s the cheapest win. Full environment-as-code and safe rollouts take four to eight weeks depending on how much state your services carry.

Do we have to stop shipping while you rebuild it?

No. We build the new pipeline alongside the old one and run both in parallel until the new one is faster and greener, then retire the old one. Your release cadence shouldn’t change during the work.

Are we locked into GitHub Actions?

The pipeline logic lives in scripts and Terraform your team owns, so the CI provider is mostly a runner. Moving between GitHub Actions and GitLab CI later is days of work, not a rebuild — we’ve done it both directions.

Will this still be working in six months once you’ve gone?

That depends on handover, so we treat it as deliverable rather than a phone call. Everything is in your repos, reviewed by your engineers, and we do a paid check-in at 90 days if you want a second pair of eyes on the drift.

Cloud & DevOps service

DevOps & CI/CD Automation

Q: How much does this cost?

A pipeline and environment engagement typically runs $8k–$25k depending on how many services and environments are in scope. The initial assessment is fixed-price and standalone, so you get the findings even if you do the work yourselves.

Deploys should be boring — a merge, a green pipeline, and a rollback you’ve already proven works.

Audit our pipeline ↗

<15 min

commit to production

1 click

rollback to last good build

deploy frequency in a quarter

100%

environments defined in code

What does good CI/CD actually look like?

CI/CD is two habits rather than one tool. Continuous integration means every push gets built and tested against the same rules, so the main branch is always releasable. Continuous delivery means getting that build in front of users is a decision someone makes, not a project someone schedules.

The measure that matters isn’t how many stages your pipeline has — it’s how long a one-line fix takes to reach production, and how confident you are undoing it at 6pm on a Friday. If a release needs a spreadsheet, a code freeze, or one specific person who is on holiday, the pipeline isn’t finished yet.

What’s included

What we put in place

Pipeline build-out

Build, test, lint and deploy stages in GitHub Actions or GitLab CI, cached and parallelised so people wait for them rather than route around them.

Environments in code

Dev, staging and production defined in Terraform so they actually match, and a throwaway environment can be stood up per branch.

Test gates that earn it

The checks that genuinely catch regressions wired into merge. Flaky tests get fixed or deleted, never retried on a loop.

Reversible releases

Blue/green or canary rollout with health checks and automatic rollback, so a bad build affects a slice of traffic for ninety seconds.

Secrets and access

Short-lived credentials issued via OIDC instead of long-lived keys pasted into CI settings and forgotten about.

Alerts worth waking for

A small set of alerts tied to user-visible symptoms, plus dashboards someone will actually open during an incident.

How the work runs

Time the current loop

We measure your real path from commit to production, count the manual steps, and read what broke in the last three months.

Fix the slowest gate

One change first, usually build caching or test parallelism, because a pipeline nobody trusts to be quick gets bypassed.

Codify the environments

Staging and production move into Terraform and stop drifting apart, with the differences between them made explicit and deliberate.

Make releases reversible

Staged rollout, health checks and a one-command rollback — then we deliberately break a deploy in staging to prove it comes back.

Hand it to your team

Pairing sessions, written runbooks, and a review of who can deploy. The goal is that the next change to the pipeline is yours.

DevOps & CI/CD Automation FAQ

A pipeline and environment engagement typically runs $8k–$25k depending on how many services and environments are in scope. The initial assessment is fixed-price and standalone, so you get the findings even if you do the work yourselves.

Tech stack

The tools we build with

We choose tools your own engineers can debug at 2am over anything that demos beautifully and then hides its failures.

Pipelines & delivery

GitHub Actions

GitLab CI

Argo CD

CircleCI

Jenkins

Infrastructure as code

Terraform

Pulumi

Ansible

Helm

Runtime & platform

Docker

Kubernetes

AWS

Nginx

Tests & monitoring

Vitest

Prometheus

Grafana

Datadog

Sentry

Our work

Related work

All work ↗

Electric vehicle charging cable plugged into a car at a charging station

EV & Mobility

Voltway

A live operations dashboard for charging station health, pricing, and utilization across regions.

+27%uptime visibility

Person using a laptop while holding a credit card for an online payment

Fintech

Ledgerly

A real-time ML pipeline scoring transactions in under 80ms across three payment gateways.

99.2%precision

Person holding and using a mobile app on a smartphone

Travel

Caravan

A group road-trip coordination app — friends converging from different cities plan stops together, track each other live on a map, and split shared costs.

15feature areas shipped in the MVP

From the blog

Dreading your next deploy?

Tell us how a change reaches production today, manual steps and all. We’ll come back with the three fixes that would cut that time most, in order.