Serverless Architecture Diagram Examples

These serverless examples show how the same gateway-function-services shape adapts to a static-frontend web app, an event-driven backend, a streaming API, and an edge-deployed function set.

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Serverless Architecture Diagram Examples

Real examples

Serverless web app (the baseline)

Who uses it: Team shipping a small product without ops overhead

Static frontend on a CDN (S3 + CloudFront, Vercel, Netlify)

API Gateway → Lambda for backend endpoints

DynamoDB or Aurora Serverless for the database

Cognito or Auth0 for identity

Pay-per-request; scales to zero when idle

Why this works: The baseline serverless web app is the cleanest start — the diagram has no servers to provision, and the entire stack scales to zero. Trade-offs: cold starts on first request, and per-service vendor lock-in.

Event-driven serverless

Who uses it: Team building async workflows on cloud events

S3 upload → Lambda processes the file

DynamoDB stream → Lambda updates aggregates

SQS / SNS / EventBridge fans events to multiple handlers

No API Gateway needed for purely async paths

Each event source has its own throttling and DLQ policy

Why this works: Event-driven serverless skips the gateway entirely — the diagram puts event sources at the top instead, with functions reacting to events from S3, DynamoDB streams, or a message bus.

Serverless API with streaming

Who uses it: Team adding real-time updates to a serverless app

WebSocket support via API Gateway WebSocket APIs

AppSync subscriptions for GraphQL real-time

Functions push updates to connected clients

Connection state stored in DynamoDB

Combines request/response and pub/sub

Why this works: Streaming on serverless usually means API Gateway WebSockets or AppSync subscriptions — the diagram adds a connection store, because functions need somewhere to remember who's subscribed between invocations.

Edge serverless

Who uses it: Team running functions close to users

Functions deployed to edge POPs (Cloudflare Workers, Lambda@Edge)

Sub-50ms execution near the user

Limited runtime (no long-lived state, smaller deps)

Origin functions still handle heavy work

Used for auth, redirects, A/B testing at the edge

Why this works: Edge serverless adds a second function layer at CDN POPs — the diagram has edge functions before the origin API gateway, doing fast work (auth check, routing) close to the user and falling back to origin for heavier requests.

Tips for better study mind maps

Split functions by concern, not by route — auth, API, event handlers are different deployment units with different scaling and IAM needs.
Show backing services as distinct nodes, not absorbed into 'cloud' — managed services have separate failure modes and pricing.
Mark what's vendor-locked vs portable; the database, queue, and identity provider are usually the biggest lock-in points.
If you use cold-start-sensitive functions, note them; the architecture decision often hinges on whether cold starts are acceptable.

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