FinTech Analytics Engine
The Challenge
GlobalTech legacy systems were experiencing severe write saturation during peak trading hours, raising query latency past 2.5 seconds. The relational datastore could not index real-time transaction streams fast enough, leading to database queue blockages and reporting siloes.
The Solution
We designed an asynchronous ingestion mesh utilizing Apache Kafka to buffer incoming writes. The data is parsed, validated, and streamed into a Snowflake cluster for cold analytics, while Golang microservices serve live transaction queries out of a highly-indexed, read-replicated PostgreSQL store.
The Results
The new architecture successfully reduced API read latency to under 35ms globally. Database write lockups were eliminated completely, saving GlobalTech estimated thousands in daily system outage risks.
Metrics Log
- 98.5% reduction in read latency (from 2.5s to 35ms)
- Zero transaction packet loss during peak spikes
- Sustained load indexing of 120,000 writes/sec
Technologies Used
Let’s discuss your technical bottlenecks.
Get in touch with our engineering team to conduct a diagnostic review of your databases, API layers, and deployment setup.