Distributed Load Testing on AWS is an AWS Solutions implementation that provisions load generators and orchestration resources. It is commonly used with JMeter and other supported engines.
About
Distributed Load Testing on AWS is an open-source solution that automates performance testing at scale, allowing users to simulate hundreds to millions of concurrent users against any endpoint in any AWS Region without provisioning servers. It is designed to identify performance bottlenecks and system behavior under load throughout the application lifecycle.
Features
- Support for JMeter, k6, and Locust testing frameworks, as well as single HTTP endpoint tests
- Distributed test runner management across multiple AWS Regions using Amazon ECS on AWS Fargate
- Web console, CLI, and headless deployment options
- Live data visualization and automated performance analytics
- Timezone-aware scheduling and tagging for test scenarios
- Downloadable test results and comparison against baselines
Pricing
As of the most recent documentation, the estimated cost for running the solution with default settings in the US East (N. Virginia) Region is approximately $30.90 per month. Costs vary based on the number of load tests, duration, and data generated.
Author / Company
Amazon Web Services (aws-solutions)
AI features
- MCP Server integration for AI-powered analytics and programmatic test orchestration via Amazon Bedrock AgentCore
- Baseline comparison with semantic coloring
Latest release
4.2.0 · 07/2026
The release notes indicate continuous updates through mid-2026, with version 4.2.0 released in July 2026. Recent updates include bug fixes for large-scale tasks and environment variable propagation, alongside earlier enhancements like MCP Server integration, live data visualization, and baseline comparisons.
Sources
GROUNDED VIA EXA · 2026-08-11