SIVARO
AI product engineering

The demo worked.
Real traffic is another story.

Cursor, Bolt or Replit got you something that worked in a meeting. We rebuild what needs rebuilding and keep what already works.

ReactGoPostgresKubernetes

Free scan, about 40 seconds, no email to start.

before and after, one gateway rewrite measured
p99 request latency 800ms to 12ms
throughput per instance 2K rps to 18K rps
gc pause spikes frequent to none

A Node gateway rewritten in Go. One instance now carries what four used to, without the pause spikes that caused intermittent timeouts.

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 stack
01

Profile what exists

Latency at P50, P95 and P99, the ten most expensive queries, and where spend maps to real workloads.

02

Harden the path that matters

Auth, rate limiting, caching, schema design and the deploy pipeline. In the order the traffic actually hits them.

03

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.

04

Hand over the runbook

Dashboards, versioned schemas, canary deploys and per query cost tracking, all in your repository.

Related reading
AI agents AI Agents in Production vs Pilot: The Real Divide Containers Common Docker Mistakes to Avoid in Production Kubernetes cost Kubernetes Node Sizing for Cost Efficiency

Find out which layer is actually costing you.

The distribution scan is free and instant. For an architecture review, the founders read your stack by hand.

P.S. If the prototype is already in front of customers, that is the expensive kind of urgent.