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Trademarks: This software listing is packaged by Data Science Dojo. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.

About the offer:

Locust is an open-source web-based load testing framework. It is based on python and is used to test the functionality and behavior of the web application. For the quality assurance process in any business, load testing is a very critical element to assure that the website remains up during traffic influx as it will eventually contribute to the success of the company. Through Locust, web testers can determine the potential of the website to withstand the number of concurrent users. With the power of python, you can develop a set of test scenarios and functions that imitate a large number of users and can observe performance charts on web UI.

Who benefits from this offer:

Following can benefit from Locust:

Usability specialists
Web app testers
QA teams
Software testing managers
Test engineers

What is included in this offer:

VM pre-installed with Locust application
An easy-to-use web interface
Several interactive metrics graphs to visualize the testing results in real-time
Ability to download requests statistics, failures, exceptions and test report
Feature to swarm multiple users at desired spawn rate

Technical Specifications:

Minimum memory: 8GB RAM
Minimum vCPU: 2 vCPUs
Operating System: Ubuntu 20.04

Instructions to get started:

Type sudo nano locustfile.py in Ubuntu terminal
Write python code for load testing. For a sample file click here
Save the file by pressing Ctrl+X and then press Enter button
Type locust in the directory where the locustfile.py exists. This will start the web server.
The default port Locust listens to is 8089. You can access the web interface at http://yourip:8089

Locust packaged by Data Science DojoData Science Dojo

Locust packaged by Data Science Dojo

Data Science Dojo

Locust packaged by Data Science Dojo

Data Science Dojo

Locust packaged by Data Science Dojo
Data Science Dojo