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Software Engineering
Performance

B2B SaaS platform scaling to 10k concurrent users

Re-architected core systems to handle growth, implementing better caching, database optimization, and infrastructure improvements.

Client

B2B SaaS Platform

Industry

Software

Duration

5 months

Impact

10x improvement in concurrent capacity

The Challenge

The platform was experiencing severe performance degradation as user base grew. Response times exceeded 10 seconds during peak usage, leading to customer complaints and churn risk. The monolithic architecture and unoptimized database queries couldn't scale beyond 1,000 concurrent users.

Our Solution

Conducted comprehensive performance profiling to identify bottlenecks across application, database, and infrastructure layers.

Implemented multi-layer caching strategy using Redis for session data, query results, and computed values.

Refactored critical database queries and added strategic indexes, reducing query times by 80-95%.

Introduced database read replicas to distribute query load and improve read performance.

Migrated compute-heavy operations to async background jobs with proper queue management.

Implemented auto-scaling infrastructure to handle traffic spikes automatically.

Added comprehensive monitoring and alerting to catch performance regressions early.

Results & Impact

Platform now handles 10,000+ concurrent users with consistent performance

Average response time reduced from 8 seconds to under 400ms

Database query performance improved by 90% on critical paths

Infrastructure costs increased only 30% while handling 10x traffic

Customer satisfaction scores improved by 35%

Churn rate decreased by 18% after performance improvements

Technology Stack

Node.js
PostgreSQL
Redis
AWS ECS
AWS RDS
CloudFront
New Relic
React
"They didn't just fix the immediate problems—they gave us a foundation to scale confidently for the next several years of growth."

David Park

CTO

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