A naukri.com initiative
Amazon
2w
311
Image Credit: Amazon
How Amazon maintains accurate totals at scale with Amazon DynamoDB
- Amazon's Finance Technologies Tax team manages tax computation, deduction, and reporting across global jurisdictions using the DynamoDB-tiered tax withholding system.
- The system processes billions of transactions annually, requiring millisecond latency at scale and accurate tracking of individual transaction values for tax calculations.
- Challenges include handling tiered tax rates based on cumulative thresholds and maintaining data consistency across high transaction volumes.
- The solution involves API Gateway, Lambda functions, DynamoDB for tracking cumulative values, and handling error retries using Amazon SQS.
- Implementation includes atomic conditional writes for updating transaction values and audit records, optimizing throughput and minimizing conflicts.
- Performance evaluations show increased throughput with concurrency, but also highlight transient conflict trade-offs in highly concurrent scenarios.
- The DynamoDB conditional write feature allows for simplified, scalable transaction processing without the need for optimistic locking.
- Authors include Principal Solutions Architect, Principal Engineer, and Software Development Engineers from Amazon Finance Technology.
- The system's proactive handling of ConditionalCheckFailedExceptions ensures data consistency and high scalability for concurrent transactions.
- For those looking to implement similar scalable systems, leveraging DynamoDB features and concurrency control mechanisms is essential.
Read Full Article
18 Likes
For uninterrupted reading, download the app