Platform modernization

Context

The platform had grown across three regions without a shared operating model. Each region carried its own deployment quirks, its own manual runbooks, and its own definition of healthy. Reliability suffered where that knowledge did not travel, and the cost of running the system kept climbing.

The mandate was not a rewrite. It was to make the platform understandable again — to give every region one way to ship, observe, and recover, without pausing the delivery the business depended on.

Approach

We started by writing down what actually ran in production, region by region, and reconciling it against what people believed ran. That inventory became the contract for everything that followed.

From there we standardized infrastructure as code, collapsed the divergent deployment paths into a single pipeline, and moved reliability work from tribal runbooks into automated, observable systems. The migration was incremental: each region moved only once its replacement was proven under real traffic.

Outcome

70%

Reduction in provisioning time

3 regions

Standardized on one operating model

99.95%

Target service reliability

Selected decisions

1. One pipeline, proven per region

   Rather than cut over all regions at once, each region migrated behind the same pipeline only after passing under production traffic. Risk stayed local and reversible.

2. Infrastructure as the source of truth

   Every environment moved to declarative Terraform. Drift became visible and correctable instead of discovered during an incident.

3. Observability before automation

   We instrumented the system to agree on what healthy meant before automating recovery, so automation acted on signal rather than assumption.