Tune replication performance with AWS DMS for an Amazon Kinesis Data Streams target endpoint – Part 2
Database Blog
This article discusses how to tune the performance of AWS Database Migration Service (AWS DMS) when replicating data from a relational database to Amazon Kinesis Data Streams. It demonstrates the effect of changing various parameters on the throughput for full load and change data capture (CDC) phases.
Specifically, the article covers:
- Test environment configuration with an Amazon RDS for PostgreSQL source and Kinesis Data Streams target
- Full load performance tests with different parallel load settings, custom table mappings, and number of Kinesis shards
- CDC performance tests with different parallel apply settings and number of Kinesis shards
- Detailed results and analysis of throughput metrics for various configurations
- Conclusion highlighting key considerations for optimizing AWS DMS performance with Kinesis Data Streams target
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