Scaling intelligent document processing workflows with AWS AI services
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This article explains how to scale intelligent document processing workflows using AWS AI services to meet government compliance requirements and handle unpredictable document volumes.
- US federal agencies must transition to electronic records by June 30, 2024
- Amazon Textract extracts text; Amazon Comprehend derives insights and categorizes documents
- Rate-limiting with Amazon SQS queues prevents throttling errors from API quota limits
- Lambda concurrency limits control request rates to match service TPS capacity
- Distributing workloads across multiple AWS Regions increases total processing throughput
- Random or persistent tracking mechanisms route requests to appropriate regions
- Multi-region architecture enables handling sudden processing spikes without delays
Organizations can scale document processing by implementing rate-limiting and multi-region distribution to overcome quota constraints and support digital transformation initiatives.
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