Serverless
A cloud computing model where the provider manages infrastructure and scales automatically based on demand.
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Definition
Serverless computing is a cloud execution model where the cloud provider dynamically manages infrastructure allocation. Developers write functions or applications that are deployed without provisioning or managing servers. The platform scales automatically from zero to massive load.
Serverless includes Function-as-a-Service (AWS Lambda, Vercel Functions, Cloudflare Workers) and managed services (DynamoDB, Aurora Serverless, Supabase). The key characteristic is that you pay only for actual usage — no idle costs.
Serverless is ideal for variable workloads, event-driven architectures, and APIs. It excels when traffic is unpredictable (bursty) or when you want to minimize operational overhead. However, it introduces constraints: cold starts, execution time limits, and less control over infrastructure.
Why It Matters for Founders
Serverless dramatically reduces the operational burden for startups. Instead of managing servers, containers, and scaling rules, founders can focus on building product. The pay-per-use model also eliminates the need to pay for idle infrastructure during quiet periods.
For early-stage startups, serverless is often the most cost-effective and operationally simple infrastructure choice. As the product scales, some workloads may benefit from dedicated infrastructure, but serverless provides an excellent starting point.
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Real-World Example
An API endpoint deployed as an AWS Lambda function handles 0 to 1 million requests automatically. You pay only for actual invocations ($0.20 per million) with zero server management.
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Frequently Asked Questions
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