Awesome GitHub RepositoriesPerformance Testing

k6 is a performance testing framework used to measure the scalability and stability of network services and APIs. It functions as a JavaScript load testing tool that uses a Go engine to simulate concurrent user traffic. The tool enables the enforcement of service level objectives by comparing response time percentiles against quantitative performance thresholds. It also operates as a performance regression tool for continuous integration pipelines and a browser performance testing tool that executes scripts within a bundled headless browser instance. Its capabilities cover workload scenario

Apache JMeter is a Java-based performance testing tool and multi-protocol traffic simulator used to analyze the stability and scalability of servers and networks. It functions as a distributed load testing framework that coordinates remote worker nodes from a single controller to generate high volumes of concurrent traffic. The project is distinguished by its ability to simulate traffic across diverse backend systems, including HTTP, JDBC, LDAP, JMS, FTP, and TCP. It provides a headless command-line interface for automated execution and a reporting system that transforms raw sample logs into

Augmented Traffic Control es un simulador de condiciones de red y una interfaz de control de tráfico de Linux. Emula latencia, pérdida de paquetes y límites de ancho de banda para probar cómo funcionan las aplicaciones bajo diversas calidades de red. El proyecto proporciona un gestor de modelado de red remoto que permite a los usuarios aplicar y almacenar perfiles de modelado de red en una base de datos para una simulación consistente. Esto es accesible a través de un panel de gestión basado en web y una interfaz remota, eliminando la necesidad de una instalación de cliente local. El sistema cubre el modelado de tráfico a nivel de kernel para restringir el tráfico saliente e incluye almacenamiento de perfiles respaldado por base de datos para guardar y reutilizar conjuntos de configuración de red predefinidos. También incluye una API de modelado de tráfico para controlar programáticamente el ancho de banda y la latencia.

What is QuickPizza? 🍕🍕🍕 - Requirements - Use k6 to test QuickPizza - Run locally with Docker - Run and observe locally with Grafana OSS 🐳📊 - QuickPizza deployment modes: Monolithic vs Microservices - Run locally and observe with Grafana Cloud ☁📊 - Enable Grafana Cloud Observability solutions