Transforming a legacy financial reporting codebase into a sub-second distributed analytics platform processing $2.4B+ daily volume.

The Challenge

FinTrack came to WebVishno with a critical dilemma: their legacy 12-year-old monolithic application was crashing during market opening spikes, batch jobs required 4 hours, and enterprise hedge funds were demanding real-time sub-second telemetry.

Our Engineered Solution

WebVishno architected a decoupled event-driven streaming system using Go, Redis streams, ClickHouse column-oriented database, and Next.js 14 reactive dashboards with WebSocket pipelines.

Architectural & Sprint Approach

Conducted a 4-week architectural discovery audit, established zero-downtime database replication, built microservices incrementally using strangler patterns, and deployed high-availability clusters on AWS with automated failover.

“WebVishno re-engineered our core engine without a single minute of downtime for our 8,000 daily traders. The performance leap is extraordinary.”

Marcus Vance — CTO, FinTrack Capital, FinTrack Capital Ltd.

Measured Results & Impact

Reduced analytical query latency from 42 seconds to 18 milliseconds, supported $2.4B+ daily transactions with 99.99% uptime SLA, and saved the client over $420,000 annually in server and maintenance costs.

$2.4B+
Daily Volume
18ms
Query Latency
99.99%
Uptime SLA
42%
Cost Reduced