Context
A rapidly growing FinTech product was hitting performance ceilings as usage spiked. The team needed speed without sacrificing correctness or auditability.
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Next.js 14SupabaseAWS Lambda
/// CASE STUDY
40% Reduction in Latency
FinTech Startup
We redesigned the data path, tightened caching, and shipped an audit-ready architecture—without disrupting production.
Latency
−40%
P95 end-to-end
Incidents
0
critical bugs post-launch
Delivery
On time
scope locked upfront
Stacked Case Study
LTD Status:
Shipped On Time • 0 Critical Bugs
Next.js 14SupabaseAWS Lambda
What we changed
We mapped the request lifecycle, eliminated redundant round-trips, added deterministic caching, and reduced cold-path work in serverless functions.
- Profiling + bottleneck isolation (P50/P95/P99)
- Schema and query optimization with strict performance budgets
- Cache strategy with explicit invalidation rules
Outcome
The result was a materially faster product with predictable performance under load—backed by measurable metrics and a documented delivery trail.
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