Scaling TrueValue to One Million Users: Lessons from the Trenches
A candid look at the infrastructure changes, database optimizations, and architectural pivots we made to handle exponential growth.
When we launched, we designed for tens of thousands of users. Within months, we were serving hundreds of thousands. Here is every bottleneck we hit and how we solved it.
Caching Strategy
- Redis cluster for session management and hot-path caching
- Edge caching via CDN for static assets
- Application-level memoization for computed dashboards
- Cache invalidation tied to domain events rather than timers
Async Everything
We moved all non-critical-path operations into background task queues. This single change reduced our median API response time by 60 percent.
“Scaling is not about writing faster code. It is about doing less work in the request path.”
— Infrastructure Team
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