AWS Lambda + API Gateway + DynamoDB Architecture Pattern
A common AWS serverless backend pattern where public HTTP traffic lands on API Gateway, Lambda handles business logic, and DynamoDB stores application data with optional S3, SQS, and CloudWatch support services.
“Create an AWS architecture diagram showing CloudFront in front of API Gateway, Lambda handling request processing, DynamoDB for primary storage, S3 for file uploads, SQS for asynchronous jobs, and CloudWatch for monitoring. Use clear request arrows and group the AWS services logically.”
Free — no credit card required
Scenario summary
A common AWS serverless backend pattern where public HTTP traffic lands on API Gateway, Lambda handles business logic, and DynamoDB stores application data with optional S3, SQS, and CloudWatch support services.
Why this architecture matters
- 1
It makes the user-facing request path, async jobs, and storage boundaries obvious during architecture reviews.
- 2
It helps teams discuss scaling, IAM scope, and failure handling without mixing serverless and support services into one vague box.
- 3
It gives engineering, security, and platform teams a shared reference before implementation or incident response work starts.
Refine it with follow-up prompts
After generating the base diagram, use these prompts to iterate and add detail — the same way a real architect would refine a whiteboard sketch.
- 1
“Add IAM boundaries and annotate which services are public-facing versus internal.”
Try this follow-up - 2
“Show retry flow from failed async jobs into a dead-letter queue.”
Try this follow-up - 3
“Add Cognito for user authentication before API Gateway.”
Try this follow-up
What to emphasize in the diagram
- •Show the synchronous request path separately from async processing.
- •Keep storage, compute, and eventing services visually grouped.
- •Annotate observability and security controls when the diagram is used for review.
How AIDrawIO generates this diagram
- 1.You paste the prompt above into the chat input.
- 2.AIDrawIO sends it to your chosen AI model (GPT-5, Claude, or Gemini).
- 3.The model returns draw.io-compatible XML — rendered instantly in the canvas.
- 4.Export as SVG, PNG, or XML. Edit any element manually or with follow-up prompts.
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Frequently asked questions
When should I use Lambda with API Gateway and DynamoDB?
This pattern fits APIs with variable traffic, event-driven workloads, and teams that want minimal server management with managed AWS services.
What details should the diagram include?
Include the request path, storage layer, async jobs if present, authentication, and monitoring services such as CloudWatch.