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.

Choosing a Deployment Platform for APIs and MVPs#

Picking a deployment platform early in a project matters more than most teams realize. The platform determines your cost floor, your scaling ceiling, your deployment workflow, and how much operational overhead you carry. Switching later is possible but never free – you are always migrating data, rewriting config, and updating DNS.

This guide compares four platforms that cover the most common deployment scenarios: Cloudflare (Workers + D1 + Pages), AWS (Lambda + API Gateway + RDS + S3), Vercel (Pro + serverless functions), and Fly.io (Apps + Postgres). Each has a genuine sweet spot. None is best for everything.

Cloud Vendor Product Matrix#

Choosing between cloud vendors requires mapping equivalent services across providers. AWS has 200+ services. Azure has 200+. GCP has 100+. Cloudflare has 20+ but they are tightly integrated and edge-native. This article maps the services that matter for most applications – compute, serverless, databases, storage, networking, and observability – across all four vendors with pricing, availability, and portability for each.

How to Use This Matrix#

Each section maps equivalent products across vendors, then provides:

Knative: Serverless on Kubernetes#

Knative brings serverless capabilities to any Kubernetes cluster. Unlike managed serverless platforms, you own the cluster – Knative adds autoscaling to zero, revision-based deployments, and event-driven invocation on top of standard Kubernetes primitives. This gives you the serverless developer experience without vendor lock-in.

Knative has two independent components: Serving (request-driven compute that scales to zero) and Eventing (event routing and delivery). You can install either or both.