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Reduce latency and cost in read-heavy applications using Amazon DynamoDB Accelerator
- Amazon DynamoDB is a fully managed, serverless, NoSQL database that can scale applications at any level.
- Amazon DynamoDB Accelerator (DAX) is an in-memory cache for DynamoDB that can improve read latency in applications that are heavily read-dominant, like news media sites, ecommerce sites, etc.
- The article explains how applications can achieve lower read latency with the use of DAX through examples.
- In the example shared, implementing DAX showed a 19% reduction in latency for GetSingleProduct requests and a 15% decrease in latency for GetListOfProducts requests.
- DAX maintains an item cache and a query cache that stores read operation data from a DynamoDB table, this allows DAX to return results to an application without looking up DynamoDB.
- The usage of DAX can also reduce the cost of read operations for DynamoDB tables in read-heavy applications.
- DynamoDB tables configured in on-demand capacity mode are estimated to cost around $1150 per month, while those in provisioned mode are $474.
- Using DAX with a provisioned mode table can decrease cost by 21% and by 67% for those using on-demand mode tables.
- A DAX cluster is charged per node usage by the hour, and its performance depends on the size of the cluster used.
- DAX can be a cost-effective solution for read-heavy applications that utilize DynamoDB and serve a large user base.
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