Story 6.6: Performance Optimization

Metadata

Story ID: 6.6
Title: Performance Optimization
Epic: 6 - Observability & Production Readiness
Status: Pending
Priority: Medium
Estimated Time: 6-8 hours
Dependencies: 1.2, 5.1

Goal

Optimize platform performance through database connection pooling, query optimization, response compression, and caching strategies.

Description

This story implements performance optimizations including database connection pooling, query optimization, response compression, and strategic caching.

Deliverables

1. Database Connection Pooling

Configure max connections
Configure idle timeout
Monitor pool stats
Connection health checks

2. Query Optimization

Add indexes for common queries
Use database query logging (development)
Add slow query detection
Query performance monitoring

3. Response Compression

Gzip middleware for large responses
Configurable compression levels
Content type filtering

4. Caching Strategy

Cache frequently accessed data (user permissions, roles)
Cache invalidation strategies
Cache warming

Acceptance Criteria

Database connection pooling is optimized
Query performance is improved
Response compression works
Caching strategy is effective
Performance meets SLA (< 100ms p95 for auth endpoints)

Files to Create/Modify

internal/infra/database/client.go - Connection pooling
internal/server/middleware.go - Compression middleware
internal/perm/in_memory_resolver.go - Add caching

1.6 KiB Raw Blame History