audit: Performance bottlenecks and optimization

[Snider]

Audit: Performance

Identify performance issues and optimization opportunities.

Database Performance

1. N+1 Queries - Eager loading missing?
2. Missing Indexes - Slow query analysis
3. Large Result Sets - Pagination missing?
4. Inefficient Joins - Query optimization
5. Connection Pooling - Configured correctly?

Memory Usage

1. Memory Leaks - Unbounded growth
2. Large Object Loading - Streaming instead?
3. Cache Efficiency - Hit rates, eviction
4. Garbage Collection - GC pressure

Concurrency

1. Blocking Operations - I/O in main thread
2. Lock Contention - Mutex bottlenecks
3. Thread Pool Sizing - Appropriate?
4. Async Opportunities - Parallelizable work

API Performance

1. Response Times - P50, P95, P99
2. Payload Sizes - Compression, pagination
3. Caching Headers - ETags, Cache-Control
4. Rate Limiting - Prevents overload?

Build/Deploy Performance

1. Build Time - Can be parallelized?
2. Asset Size - Bundle optimization
3. Cold Start - Initialization time

Output

Save to AUDIT-PERFORMANCE.md

Include specific metrics and benchmarks where possible.

[google-labs-jules]

Jules is on it. When finished, you will see another comment and be able to review a PR.

[google-labs-jules]

Ready for a review! A PR has been created.

[google-labs-jules]

I apologize, but I encountered an unexpected error and wasn't able to complete the task.