A regulated payments platform replaced manual, quarterly releases with a fully automated pipeline and progressive delivery — without a single customer-visible incident during migration.
(01) The challenge
Releases depended on a manual runbook executed by two senior engineers over a weekend. A failed deploy could take hours to roll back, and environment drift meant staging rarely matched production.
(02) Our approach
We instrumented the existing delivery system, migrated builds to a cached, parallel CI pipeline, codified all environments with Terraform, and introduced canary releases gated on error-rate and latency SLOs.
(03) The work
[Placeholder case study — all client details and metrics are illustrative and must be replaced with verified data before launch.]
The platform processed payments for thousands of merchants, which meant every release carried regulatory and financial risk. To compensate, the engineering team had built an elaborate manual release process. It worked — until the company needed to ship twice as fast.
Three problems compounded:
Measured first. We instrumented the delivery pipeline and established baselines for deploy frequency, lead time, change failure rate, and time to restore. That baseline turned a vague sense of slowness into a defensible problem statement.
Rebuilt the pipeline. Builds moved to a cached, parallelised CI workflow with ephemeral preview environments. Median build time dropped from 38 minutes to under 7.
Codified infrastructure. Every environment, including production, was defined in Terraform and stored in version control. Drift became detectable rather than invisible.
Introduced progressive delivery. Releases moved to canary deployments gated on automated health checks. A bad build now rolls itself back before customers are affected.
Within ten weeks, the team went from six-week release cycles to daily deployments. Change failure rate fell from 22% to 3%, and mean time to restore dropped from four hours to twelve minutes. No customer-visible incident occurred during the migration.
Crucially, we did this with the existing team rather than around them. By the end, two internal engineers were shipping pipeline changes independently — the outcome we optimise for.
[Placeholder quote — replace with a real client testimonial before launch.] The team understood our compliance constraints from day one and left our engineers fully capable of running the pipeline themselves.
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