What is Serverless?
Serverless computing allows you to build and run applications without thinking about servers. AWS Lambda automatically runs your code in response to events, managing the compute resources for you. You pay only for the compute time you consume — there's no charge when your code isn't running.
This represents a fundamental shift in how we think about compute. Instead of provisioning servers and managing their lifecycle, you focus purely on your business logic. AWS handles everything else: the operating system, capacity, scaling, fault tolerance, and infrastructure management.
When to Use Lambda
Lambda excels at event-driven workloads: processing uploads to S3, handling API requests, responding to database changes, processing streams, running scheduled jobs. If your workload is bursty, unpredictable, or has periods of zero traffic, Lambda's pay-per-invocation model can dramatically reduce costs.
Lambda Basics
A Lambda function consists of your code, a runtime (Node.js, Python, Java, Go, etc.), and configuration that specifies memory, timeout, and permissions. When an event triggers your function, Lambda spins up an execution environment, runs your code, and then freezes or terminates the environment.
import { APIGatewayProxyHandler } from 'aws-lambda';
export const handler: APIGatewayProxyHandler = async (event) => {
const { name = 'World' } = event.queryStringParameters || {};
return {
statusCode: 200,
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
message: `Hello, ${name}!`,
timestamp: new Date().toISOString(),
}),
};
};Event Sources
Lambda can be triggered by a wide variety of AWS services. Understanding these integrations is key to building effective serverless architectures.
| Event Source | Invocation Type | Use Case |
|---|---|---|
| API Gateway | Synchronous | REST/HTTP APIs, webhooks |
| S3 | Asynchronous | Process uploads, generate thumbnails |
| DynamoDB Streams | Synchronous | React to data changes |
| SQS | Synchronous | Process queue messages |
| SNS | Asynchronous | Fan-out notifications |
| EventBridge | Asynchronous | Scheduled tasks, event routing |
| Kinesis | Synchronous | Real-time stream processing |
Best Practices
- 1Keep functions small and focused — single-responsibility principle applies
- 2Minimize cold starts by keeping deployment packages small and using provisioned concurrency for latency-sensitive workloads
- 3Use environment variables for configuration — never hardcode secrets
- 4Implement proper error handling and use Dead Letter Queues for failed invocations
- 5Monitor with CloudWatch metrics and X-Ray tracing for distributed debugging
“Serverless isn't about eliminating servers — it's about eliminating server management. The servers are still there; you just don't have to think about them anymore.”