AWS Lambda vs Vultr

Serverless computing that makes you feel like a wizard—until you get hit with cold starts and vendor lock-in meets the cloud provider that actually lets you spin up a server without needing a phd in cloud architecture. 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)

Vultr

The cloud provider that actually lets you spin up a server without needing a PhD in cloud architecture.

Pros

• Simple, no-nonsense pricing with hourly billing
• Global data centers with consistent performance
• Easy-to-use control panel and API for quick deployments
• Wide selection of OS and app templates for rapid setup

Cons

• Fewer advanced enterprise features compared to AWS or Azure
• Support can be slow for non-critical issues

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 Vultr if: You prioritize simple, no-nonsense pricing with hourly billing 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.