AWS Project Challenge 8: Intelligent Document Processing System with AWS Fargate, Celery, SQS & Textract
90 Days of Cloud Challenge: Day 28
By Sandip Das · · 8 min read
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Hey — It's Sandip Das 👋
This project teaches how to design scalable, event-driven, and container-orchestrated workloads using Fargate, Celery, and SQS—exactly how real production systems handle high-volume document processing.
It also builds expertise in serverless OCR pipelines with Textract, giving hands-on experience with distributed workers, asynchronous task queues, and AWS-native automation patterns used in enterprise architectures.
This project teaches how to design scalable, event-driven, and container-orchestrated workloads using Fargate, Celery, and SQS—exactly how real production systems handle high-volume document processing.
It also builds expertise in serverless OCR pipelines with Textract, giving hands-on experience with distributed workers, asynchronous task queues, and AWS-native automation patterns used in enterprise architectures.
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60 Days Of Cloud (Complete)
30 Days of MLOps
30 Days of MLOps
Read the full article on learnxops.com.
Topics: Project, Community, AW ECS, AWS ECS Fargate, AWS Lambda, AWS Textract, AWS Rekognition, AWS DynamoDB, Python, Celery, Message Queue, AWS SNS, AWS, 90 Days of Cloud