Python Web performance tool: Pylot

This article attempts to introduce Pylot in the form of translation, so that you can familiarize yourself with Pylot and its basics.

What is Pylot?

Pylot is an open-source tool for testing the performance and scalability of web Services. It runs HTTP load testing, which is useful for capacity planning, determining benchmarks, analysis, and system tuning.

Pylot generates HTTP Requests, checks server responses, and generates reports with metrics. Use the GUI or shell/console to execute and monitor test suites.

How does it work?

You can start by defining test cases in the XML file. The test case is where you specify the request (url, method, boly/payload, etc.) and the validation point. The server's response can be verified by matching the content with the regular expression and HTTP status code. You can adjust the load settings (agent quantity, request interval, warm-up time, and test duration) before running the test. You can control the load in the GUI workload or use the command line to modify the load. These settings allow you to simulate tests based on different load scenarios. During running, these cases are reproduced and passed to the load generation engine. The proxy is distributed and run at the same time to send an HTTP request to web services. During execution, real-time status and error reports are displayed to monitor the test.

Who is this tool designed?

Developers who need to test and debug the performance and scalability of webservice, as well as performance engineers. It can also be integrated into large test groups by Python programmers. You need to be familiar with HTTP, XML, and performance tests to successfully use this tool.