micsapp Speak Performance Tuning
Overview
Optimize Speak API performance with caching, audio preprocessing, and connection pooling for language learning applications.
Prerequisites
- Speak SDK installed
- Understanding of async patterns
- Redis or in-memory cache available (optional)
- Performance monitoring in place
Instructions
- Latency Benchmarks
- Audio Optimization
- Caching Strategy
- Connection Optimization
- Request Batching
- Performance Monitoring
For full implementation details, load: Read(${CLAUDE_SKILL_DIR}/references/implementation-guide.md)
Output
- Reduced API latency
- Audio preprocessing pipeline
- Caching layer implemented
- Request batching enabled
- Connection pooling configured
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| Cache miss storm | TTL expired | Use stale-while-revalidate |
| Audio too large | No compression | Optimize audio format |
| Connection exhausted | No pooling | Configure max sockets |
| Memory pressure | Cache too large | Set max cache entries |
| Batch timeout | Too many items | Reduce batch size |
Examples
Quick Performance Wrapper
const withPerformance = <T>(name: string, fn: () => Promise<T>) =>
measuredSpeakCall(name, () =>
cachedWithRedis(`cache:${name}`, fn, 300) # 300: timeout: 5 minutes
);
Resources
Next Steps
For cost optimization, see speak-cost-tuning.