Automating Amazon Textract adapter lifecycle management across accounts
How-To How to actually use this
What changed: AWS published a guide for managing Amazon Textract Custom Queries adapters across accounts using infrastructure-as-code and a promotion pipeline.
How to use it:
- Define adapter resources in CloudFormation or Terraform templates for version-controlled deployments.
- Build a cross-account CI/CD pipeline that promotes trained adapters from development to staging to production accounts.
- Implement a pre-classification router (e.g., a Lambda function) to detect form version and invoke the correct adapter endpoint.
- Restrict network access by configuring VPC endpoints for Textract and adapter endpoints in each account.
- Apply encryption (KMS) and least-privilege IAM policies to adapter training jobs, inference endpoints, and S3 buckets.
Good for: ML engineers operationalizing Textract custom adapters.
Learn how to operationalize Amazon Textract Custom Queries adapters for production: infrastructure as code with AWS CloudFormation and Terraform, a cross-account adapter promotion process, a pre-classification routing pattern for multiple form versions, and production security controls such as VPC endpoints, encryption, and least-privilege IAM.
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