aws-samples / aws-samples/serverless-patterns
New pattern submission - s3-bedrock-data-automation-sam
- Dominant language
- Python
- Stars
- 1.8k
- Forks
- 1.1k
- Avg merge
- 7d 14h
- Merged PRs (30d)
- 6
Description
Per the simplified process, all pattern metadata is in the example-pattern.json file in the PR.
**Pattern:** s3-bedrock-data-automation-sam
**Summary:** Serverless, event-driven 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.
**Language:** Python
**Framework:** AWS SAM
**Level:** 200
## GitHub PR for template:
https://github.com/aws-samples/serverless-patterns/pull/3266
Contributor guide
Research direction
Start by reviewing pull request #3266 and its example-pattern.json metadata for the s3-bedrock-data-automation-sam pattern. Check the template's AWS SAM resources and event flow against the submission details; done means the linked pattern PR is complete and accepted.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, python
- Domain
- backend, cloud
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100