The challenge
What the client was dealing with
LedgerFlow's original platform was built quickly to validate the market. By the time they reached 8,000 users, the database was choking under concurrent writes, deployments required 30-minute maintenance windows, and there was no alerting in place. The team was firefighting daily instead of building new features.
What we built
Our approach
We conducted a 3-day architecture audit and identified three critical chokepoints: an unindexed transactions table, a synchronous payment confirmation loop, and a deploy process tied to manual SSH steps.
We introduced an async job queue for payment processing, rebuilt the deployment pipeline on GitHub Actions with zero-downtime Kubernetes rolling updates, added PostgreSQL index tuning, and wired Grafana dashboards to surface latency and error rates in real time.
The outcome
What changed
Transaction processing capacity increased from ~200/min to 2,400/min. Deployment time dropped from 35 minutes (with downtime) to 4 minutes with zero user impact. Mean time to detect an incident dropped from 47 minutes to under 3 minutes. The platform now handles 50,000 MAUs with headroom to 10x.