Case Study
Improving Performance for a Growth-Stage Rails SaaS
Slow endpoints and job backlogs were hurting customer experience during peak hours.
Client Type
Growth-stage Rails SaaS
Result
2.3x faster critical flows
Detailed Breakdown
As usage increased, performance bottlenecks started affecting user experience—especially during peak traffic hours.
Problem
Slow endpoints and job backlogs were impacting critical user flows.
- High response times on key APIs
- Background jobs piling up
- Performance degrading under load
Solution
Focused on removing bottlenecks across the stack:
- Profiled slow endpoints and identified hotspots
- Optimised database queries and indexing
- Stabilised background worker throughput
- Improved caching strategy for frequently accessed data
Technical Approach
- Used profiling tools to trace slow requests
- Reduced N+1 queries and heavy DB operations
- Tuned Sidekiq concurrency and queue prioritisation
- Introduced caching for high-read operations
Result
🚀 2.3x faster critical flows
- Noticeable improvement in user experience
- Stable performance during peak traffic
- Reduced job backlog and system load