Serverless Computing is a cloud execution model where the provider dynamically manages server allocation. Users only pay for actual compute time, not idle capacity.
Serverless platforms like AWS Lambda, Vercel, and Cloudflare Workers automatically scale code execution based on demand, charging only for actual usage. This eliminates capacity planning and reduces costs for variable-traffic applications. Serverless is ideal for APIs, webhooks, scheduled tasks, and event-driven architectures.
Serverless eliminates capacity planning. You never pay for idle resources, and you never run out of capacity during traffic spikes. For variable-traffic applications, it can reduce infrastructure costs by 60-80%.
An API startup deploys their endpoints on AWS Lambda. During business hours, they handle 10,000 requests/minute. At 3 AM, they handle 10. They only pay for the requests they actually process — no idle servers running up the bill overnight.
Serverless doesn't mean "no servers." There are absolutely servers involved — you just don't manage them. The cloud provider handles all infrastructure, scaling, and maintenance behind the scenes.
Watch out for cold starts — when a serverless function hasn't been called recently, the first invocation can be 1-2 seconds slower. For latency-sensitive applications, use provisioned concurrency or keep functions warm.
Serverless Computing falls under the Hosting category.
These tools put serverless computing into practice. Compare features, pricing, and ratings:
A service that provides the technologies and infrastructure needed for a website to be accessible on the internet, storing files on servers.
A geographically distributed network of servers that delivers web content to users from the nearest server location, reducing latency and load times.
An e-commerce architecture that separates the frontend presentation layer from the backend commerce functionality, enabling greater design flexibility.
Now that you understand Serverless Computing, explore the best tools in this category.