AWS Lambda vs Workers

Serverless computing that makes you feel like a wizard—until you get hit with cold starts and vendor lock-in meets serverless edge computing that actually works, because who wants to babysit servers?. Here's our take.

AWS Lambda

Nice Pick

Serverless computing that makes you feel like a wizard—until you get hit with cold starts and vendor lock-in.

Pros

• No server management—just upload code and it runs automatically
• Auto-scales from zero to thousands of concurrent executions
• Pay-per-use pricing model (you only pay for compute time)
• Integrates seamlessly with other AWS services like S3 and API Gateway

Cons

• Cold starts can cause unpredictable latency spikes
• Vendor lock-in with AWS ecosystem makes migration painful
• Limited execution time and memory constraints (up to 15 minutes)

Workers

Serverless edge computing that actually works, because who wants to babysit servers?

Pros

• Globally distributed edge network for ultra-low latency
• No server management or cold starts to worry about
• Supports JavaScript, WebAssembly, and other languages
• Built-in DDoS protection and security features

Cons

• Pricing can get tricky with high-volume usage
• Limited execution time per request (10ms CPU time for free tier)
• Debugging edge-specific issues can be a pain

The Verdict

Use AWS Lambda if: You want no server management—just upload code and it runs automatically and can live with cold starts can cause unpredictable latency spikes.

Use Workers if: You prioritize globally distributed edge network for ultra-low latency over what AWS Lambda offers.

The Bottom Line

AWS Lambda wins

Serverless computing that makes you feel like a wizard—until you get hit with cold starts and vendor lock-in.