Cloudflare Workers Performance Optimization

소개

This skill equips Claude with specialized knowledge to diagnose and resolve performance bottlenecks in Cloudflare Workers. It provides implementation patterns for reducing cold starts through bundle optimization, implementing multi-layer caching via the Cache API, and leveraging streaming to handle large payloads efficiently. It is designed for developers building production-grade serverless applications that must stay within strict CPU and memory limits while maintaining ultra-low global latency.

주요 기능

• CPU profiling and hot-path optimization techniques
• Cold start mitigation through bundle size and import management
• Multi-layer caching patterns using Memory, Cache API, and KV
• Streaming response implementations to prevent memory pressure
• Batching strategies for D1 and KV database operations
• 21 GitHub stars

사용 사례

• Resolving 'CPU Limit Exceeded' and worker timeout errors
• Reducing global latency for serverless API endpoints
• Optimizing heavy data processing tasks at the edge