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Case Study
Financial Technology

Rebuilding a Fintech Platform for 10x Scale

Rebuilding a Fintech Platform for 10x Scale

A leading financial technology provider approached EDIFITION with a critical bottleneck: their legacy architecture could not handle the anticipated peak loads for their upcoming global launch. They needed a complete overhaul—without any downtime.

The Challenge

The existing architecture suffered from several critical flaws:

  • Monolithic design causing slow deployments.
  • Synchronous database queries blocking the event loop.
  • Inadequate caching resulting in unnecessary database load.

"We needed to change the engine while the plane was flying. EDIFITION came in as a fractional CTO team and executed flawlessly." — CTO, Client Company

The EDIFITION Solution

Our fractional CTO and engineering team initiated a multi-phase modernization strategy.

Phase 1: Decoupling the Monolith

We began by identifying the most resource-intensive modules and extracting them into independent serverless functions using Next.js API routes and Vercel's edge network.

Fintech Graph

Phase 2: Implementing Advanced Caching

By introducing Redis at the edge, we were able to serve 85% of standard queries from memory, drastically reducing the load on the primary PostgreSQL database.

-- Before: Heavy aggregation on every page load
SELECT user_id, SUM(amount) FROM transactions GROUP BY user_id;

-- After: Data is pre-aggregated and cached via asynchronous workers

Phase 3: Zero-Downtime Migration

Using a strangler fig pattern, traffic was gradually routed from the legacy monolith to the new microservices architecture.

The Results

The transformation was profound and immediate:

  • Latency: Decreased from 1.2s to 120ms (p95).
  • Throughput: System can now handle 10x the previous peak load.
  • Developer Velocity: Deployment time reduced from 45 minutes to 3 minutes.

This implementation exemplifies EDIFITION's capability to operate not just as contractors, but as a fully-integrated, high-performance product execution team.