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- Distributed Load Testing on AWS
Distributed Load Testing on AWS
Automate performance testing at scale for better reliability and efficiency
Overview
Distributed Load Testing on AWS automates performance testing at scale, demonstrating how systems behave under different load conditions and helping identify potential performance issues throughout their lifecycle. This solution simulates user transactions ranging from hundreds to millions by automatically launching and managing distributed test runners within and across AWS Regions, without manual user or server provisioning and providing insights into crucial areas such as the scalability and reliability of your Amazon EC2 instances, Amazon ECS or Amazon EKS, AWS Lambda function performance, Amazon RDS database query performance, and Amazon CloudFront response times.
The product supports JMeter, K6, and Locust testing frameworks and provides comprehensive analytics capabilities. Easily set test baselines to compare results throughout your application lifecycle and deploy the optional MCP server to build AI-powered analytics. You can streamline test execution, analyze regression over time, and gain deeper visibility into system behavior.
Benefits
Right-size your infrastructure by gaining accurate insights into how your applications perform under varying load conditions, resulting in cost-effective resource allocation.
Easily access test run and results data through the dashboard that supports downloadable, tabular views as well as access to raw performance metrics, error summaries, and latency data for better analysis and reporting.
Optimize your application performance by simulating real-world traffic from multiple AWS Regions to assess how your application behaves under diverse geographic loads.
Optionally, integrate with a MCP (Model Context Protocol) server to leverage agentic AI for automated insights and accelerate performance test and root cause analysis by integrating continuous performance testing with your agentic workflows to compare test results, observability metrics, and application changes.
How it works
You can automatically deploy this architecture using the implementation guide and the accompanying AWS CloudFormation template for AWS Regions.
About this deployment
Version: 4.0.0
Released: 11/2025
Author: AWS
Est. deployment time: 15 mins
Estimated cost: See details
Deploy with confidence
Everything you need to launch this AWS Solution in your account is right here
We'll walk you through it
Get started fast. Read the implementation guide for deployment steps, architecture details, cost information, and customization options.
Let's make it happen
Ready to deploy? Open the CloudFormation template in the AWS Console to begin setting up the infrastructure you need. You'll be prompted to access your AWS account if you haven't yet logged in.
Customers
Calabrio
"At Calabrio, our mission is to help contact centers work smarter, faster and better. We needed to design a new, high-performing feature for a major customer -- fast. We used Distributed Load Testing on AWS to test our system’s performance at scale, without the need for costly enterprise testing licenses or writing custom orchestration code for open-source tools. With this AWS Solution, we designed and executed tests at six times the expected traffic volume and launched the new feature successfully and ahead of schedule."
Daryl Robbins, Senior Director, Engineering
MadeiraMadeira
"At MadeiraMadeira, ensuring the performance and scalability of our applications is essential, especially during high-traffic periods like Black Friday. With Distributed Load Testing on AWS, we are able to simulate complex large-scale scenarios and accelerate our non-functional validations. This AWS Solution removed technical barriers and helped us build greater confidence in our releases while keeping customer experience a top priority."
Michel Augusto, Quality Assurance Specialist
Arthurite Integrated
"Our team at Arthurite Integrated deployed an AI-powered chatbot and needed to ensure it could handle high-traffic volumes from millions of users, especially during peak periods. Traditional manual testing couldn't simulate the real-world usage patterns we expected, so we used Distributed Load Testing on AWS to validate the system's scalability, latency and fault tolerance under realistic workloads. With this AWS Solution we identified latency bottlenecks, leading to optimizations that improved our response time by 60%. Our error rates dropped by 45% and the system's throughput scaled 5x times higher under load. Auto-scaling also became 3x more responsive, ensuring a seamless user experience even during usage spikes."
Somtochukwu Ezepue, Founder/CEO
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