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Finally, let's compare the response time of the requests. For that, we will use Locust , an open source load testing tool. The tests will run for 5 minutes, and will increase 4 requests per second every second until they reach 1000 requests per second. - Source: dev.to / about 2 months ago
Locust: Another open-source tool, Locust is particularly flexible due to its support for Python scripts. It can conduct load tests across multiple machines, making it possible to simulate millions of users simultaneously. An exceptional feature of Locust is its web-based UI, which allows real-time tracking of performance metrics during test execution. - Source: dev.to / 2 months ago
Locust is a perfect tool to use on such occasion:. - Source: dev.to / 2 months ago
So, in theory, we can handle 300 requests per minute on a single server which was the assumption we started with. After this, I decided to play with this configuration and see what we could achieve. But, to go ahead I need a system to measure the metrics of our load testing. So I quickly set up Locust on my system. Locust is an open-source easy to setup load-testing framework. - Source: dev.to / 2 months ago
The OpenTelemetry Demo is composed of microservices written in different programming languages that talk to each other over gRPC and HTTP; and a load generator which uses Locust to fake user traffic. - Source: dev.to / 6 months ago
Apache JMeter - Apache JMeter™.
Loader.io - Loader.io is a simple cloud-based load testing service
AT Internet - Transform your data into action with our powerful and flexible digital analytics solution.
gatling.io - Gatling is an open-source load testing framework based on Scala, Akka and Netty
Simple Analytics - The privacy-first Google Analytics alternative located in Europe.
k6 Cloud - Managed load testing service built on top of the popular open-source project k6.
