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EngineeringJanuary 15, 20258 min read

Building Cloudflare Workers at Scale: Lessons from 30+ Production Deployments

What we learned deploying 30+ Cloudflare Workers in production, including architecture patterns, error handling, and performance optimization.

P
PropTechUSA Engineering
Engineering Team

Building Cloudflare Workers at Scale

After deploying over 30 Cloudflare Workers in production, we've learned a lot about what works and what doesn't. This post shares our key lessons.

Architecture Patterns That Scale

1. Multiple Small Workers > One Giant Monolith

Our first mistake was building a 10,000+ line worker. Don't do this. Instead:

  • Separate workers by domain: leads, market-intel, offer-check
  • Keep each worker focused: single responsibility principle
  • Use service bindings: for worker-to-worker communication
  • 2. Edge-First Data Strategy

    Store frequently accessed data at the edge:

  • KV for configuration: feature flags, API keys, settings
  • Durable Objects for state: user sessions, rate limiting
  • R2 for assets: images, documents, cached responses
  • Error Handling Best Practices

    Every worker should implement:

  • 1.Structured error responses
  • 2.Request ID tracing
  • 3.Graceful degradation
  • 4.Circuit breakers for external APIs
  • Performance Optimization

    Key metrics to track:

  • Cold start time: Keep bundles under 1MB
  • CPU time: Stay under 50ms for most requests
  • Memory usage: Monitor for leaks in long-running requests
  • Conclusion

    Building at scale requires discipline. Start small, measure everything, and iterate.

    #Cloudflare#Workers#Architecture#Edge Computing

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