New serverless pattern - s3-bedrock-data-automation-sam - #3266
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Serverless pipeline that extracts structured data from files uploaded to Amazon S3 (documents, images, video, audio) using Amazon Bedrock Data Automation. An S3 ObjectCreated event triggers a Lambda that starts an async BDA job; BDA writes structured JSON (Markdown text, tables, generative summary) to the output prefix. The BDA project is a native CloudFormation resource, so custom code is minimal. Python 3.13, SAM.
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New serverless pattern: s3-bedrock-data-automation-sam
Extract structured data from files uploaded to Amazon S3 (documents, images, video, audio) using Amazon Bedrock Data Automation - no ML code.
How it works
input/prefix raises an S3ObjectCreatedevent that triggers an AWS Lambda function.InvokeDataAutomationAsyncAPI (fire-and-forget) with the input file, an output location, and the Bedrock Data Automation project.output/prefix (Markdown text, tables, and a generative summary).Why it is low-code
AWS::Bedrock::DataAutomationProject), so the pipeline is infrastructure as code and the Lambda is only a thin trigger.Notes
us.data-automation-v1is a cross-region (US geo) profile, so the profile ARN is region-wildcarded in the IAM policy (BDA may route the job to any US region).Includes README.md, template.yaml (AWS SAM), example-pattern.json, and src/ (Python 3.13). Level 200. Deployed and tested end-to-end.
Pattern-submission issue to follow, linking this PR.