You are on this page because one of these is true.
It falls over on real traffic
Fine with ten users, unusable at a thousand. Nobody knows which layer gives up first because nothing is instrumented.
The bill makes no sense
Spend grew faster than usage and no line item explains it. Per query cost has never been measured.
One person understands it
The prototype was built under deadline pressure and never documented. That person is now the dependency.
Shipping has stopped
Every new feature breaks something older. The team spends its week firefighting instead of building.
What we actually do here.
We own the full stack from system design to runbook handoff, so your team inherits something they can operate rather than something they have to reverse engineer.
See the whole stackProfile what exists
Latency at P50, P95 and P99, the ten most expensive queries, and where spend maps to real workloads.
Harden the path that matters
Auth, rate limiting, caching, schema design and the deploy pipeline. In the order the traffic actually hits them.
Rewrite only what deserves it
The bottleneck gets replaced. The parts that already work stay, because a rewrite you did not need is the most expensive kind.
Hand over the runbook
Dashboards, versioned schemas, canary deploys and per query cost tracking, all in your repository.