AWS Lambda and Serverless Function Patterns

AWS Lambda and Serverless Function Patterns#

Lambda runs your code without you provisioning or managing servers. You upload a function, configure a trigger, and AWS handles scaling, patching, and availability. The execution model is simple: an event arrives, Lambda invokes your handler, your handler returns a response. Everything in between – concurrency, retries, scaling from zero to thousands of instances – is managed for you.

That simplicity hides real complexity. Cold starts, timeout limits, memory-to-CPU coupling, VPC attachment latency, and event source mapping behavior all require deliberate design. This article covers the patterns that matter in practice.

Comparing Serverless Platforms: Cloud Run, Azure Functions, Lambda, and Cloudflare Workers

Comparing Serverless Platforms#

Choosing a serverless platform is not about which one is “best.” Each platform makes different tradeoffs around cold start latency, execution limits, pricing granularity, and ecosystem integration. The right choice depends on what you are building, what cloud you already use, and which constraints matter most.

This framework compares the four major serverless compute platforms as of early 2026: AWS Lambda, Google Cloud Run, Azure Functions, and Cloudflare Workers.