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How Samsung Cloud optimized Amazon DynamoDB costs

Database Blog

This article discusses how Samsung Cloud optimized costs for their Amazon DynamoDB usage over the past several years. Samsung Cloud migrated from Apache Cassandra to DynamoDB in 2015 and has since scaled to 3.5PB of data and over 100 billion reads and writes per day.

Specifically, the article covers:

  • Samsung Cloud's high-level architecture and use cases for DynamoDB
  • Modeling data with a single-table design to optimize throughput costs and reduce operational costs
  • Using DynamoDB Auto Scaling with aggressive minimum/maximum capacity settings
  • Leveraging the DynamoDB Time to Live (TTL) feature to reduce storage size and throughput costs
  • Purchasing DynamoDB Reserved Capacity for up to 77% discount on provisioned throughput
  • Adopting the DynamoDB Standard-Infrequent Access table class to reduce storage costs by over 30%
  • Conclusion emphasizing Samsung's continuous efforts to optimize DynamoDB costs as the service has scaled
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