AWS
Serverless
intermediate
Serverless File Processing — AWS Architecture Template
S3 uploads fan out via SNS to parallel SQS-buffered Lambda processors that write results to a processed bucket.
Why this architecture works
- S3 event notifications start processing the instant a file lands — no schedulers or polling
- SNS-to-SQS fan-out lets thumbnailing and metadata extraction run in parallel and fail independently
- Queues between topic and workers buffer upload storms and enable per-worker retry policies
- Separate input and output buckets prevent recursive trigger loops
- Per-function CloudWatch metrics isolate which processing stage is slow or erroring
What's inside (9 resources)
Upload Bucket
aws-s3
S3 Trigger
aws-lambda
Fan-out Topic
aws-sns
Thumbnail Queue
aws-sqs
Metadata Queue
aws-sqs
Thumbnailer
aws-lambda
Metadata Extractor
aws-lambda
Processed Bucket
aws-s3
Pipeline Metrics
aws-cloudwatch
From template to running infrastructure
- Open this template in the CloudForge visual designer (free account, no credit card).
- Customize resources, names, and connections on the drag-and-drop canvas — or ask Vani, the AI architect, to adapt it.
- Generate production-ready Terraform or CloudFormation in one click.
- Review the plan diff and security scan, then deploy with human approval.