🛠 This utility converts your LoadRunner Rules to JMeter Correlation Recorder Rules. 💙 All Contributions Welcome 🙏
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Updated
Oct 18, 2020 - Python
🛠 This utility converts your LoadRunner Rules to JMeter Correlation Recorder Rules. 💙 All Contributions Welcome 🙏
High-performance Go event generator for load testing. Supports TCP/UDP, Netflow v5, Syslog (CEF).
Load testing suite built with Locust for web applications
Simple example showing why System.currentTimeMillis() is inaccurate for benchmarking.
The repository compares Do Concurrent with OpenMP's performance for additive manufacturing using the phase field approach. The app is developed with the Fortran programming language.
performance regression testing ( sorting, instance create, evaluation etc ...)
Grafana k6 is an open-source load testing tool that makes performance testing easy and productive for engineering teams. k6 is free, developer-centric, and extensible. Using k6, you can test the reliability and performance of your systems and catch performance regressions and problems earlier.
5. «Подготовка отчёта о тестировании и завершение проекта»
Resources for "Running JMeter Tests On Rancher" presentation & Rancher workshop @ iQuest K&M, Craiova, 2017.
Radixsortbidi8: This library implements an efficient stable sort on arrays using an extensible 8-bit indexed, bidirectional, least significant bit first radix sort. Supports input types up to 128-bit, indirection, filtering by (tiered) absolute value in ascending or descending modes and more. (C++17 and onward, multi-platform, single-file library)
Same app built with different FE frameworks to compare perfomance
K6 extension for performance test on MongoDB by GeckosLab
Сравнение алгоритмов балансировки нагрузки с асинхронным моделированием на C++23/Asio и генерацией JSON-отчётов с веб-визуализацией на python
Teste de performance API serverest & testes automatizados com mocha e chai
HealthAPI Quality Assurance Framework
Hello World demo Selenium JAX-RS Backbone JS
Este repositório contém implementações desenvolvidas na cadeira de Analise de Desempenho utilizando diversas linguagens de programação. O intuito da disciplina é aprender como os algoritmos funcionam e o desempenho deles com linguagens e em diferentes situações.
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