Design and Implementation of an Event-Driven API for Efficient Batch Data Insertion into DynamoDB

[VCauthon]

This task involves designing an event-driven API architecture to handle large batch data insertions into DynamoDB while maintaining performance during traffic spikes.

The proposed solution leverages AWS services like S3, Step Functions, Lambda, ECS with Fargate, and CloudWatch for orchestration, processing, and monitoring.

The workflow initiates when an external agent uploads data to an S3 bucket.

The data is then processed by an ECS Task in a Fargate cluster, allowing for scalable and time-unrestricted processing before being inserted into DynamoDB.

The architecture also includes mechanisms for error handling and cost optimization using S3 lifecycle policies and CloudWatch alerts.