Scalable Backend Services
Backend services rebuilt for the load they actually see in production, not the load they were designed for.
The original backend held up fine in staging and buckled the moment real traffic arrived. We re-architected the core services around caching, connection pooling and async processing, so response times stay flat as usage grows instead of degrading under load.
Challenges we solve
Response times degraded under real traffic
What worked in staging slowed to a crawl once concurrent users and real data volumes hit production.
A single slow query could stall the whole API
Without connection pooling or caching, one expensive query backed up every other request behind it.
No clear separation of concerns
Business logic, data access and background jobs were tangled together in the same request path.
What we deliver
Caching and connection pooling
Hot paths cached and database connections pooled, so load no longer translates directly into latency.
Async job processing
Slow and non-critical work moved off the request path into background queues.
A cleanly layered API
Business logic, data access and background jobs separated so each can scale and be tested independently.
Outcomes
Technologies
Related Case Studies
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