
Learn how to use Locust, an open-source load testing framework, to perform large-scale performance testing of Amazon Kinesis streaming applications, capable of emitting over 1 million events per second.


<div><p>This article explains how to use Locust, an open-source load testing framework, to perform large-scale performance testing for Amazon Kinesis streaming applications.</p><ul><li>Locust enables simulation of millions of concurrent users to test Kinesis at production scale</li><li>Setup uses AWS CDK to deploy Locust on EC2 instance with Kinesis data streams</li><li>Capable of emitting over 1 million events per second on c7g.16xlarge instance</li><li>Includes web dashboard for monitoring load tests and configuring test parameters</li><li>Supports customizable payloads using Python code and Faker library</li><li>Distributed architecture uses primary coordinator and multiple secondary workers</li><li>Batch size configuration optimizes throughput by grouping simulated users</li><li>GitHub repository provides complete infrastructure-as-code templates and sample code</li></ul><p>This approach overcomes limitations of Amazon Kinesis Data Generator by providing scalable, scriptable load testing for comprehensive streaming solution evaluation.</p></div>


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