4 dépôts
Environments and tools for evaluating application speed and load handling.
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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
Modern load testing tool for measuring system performance.
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
Classic tool for load testing and measuring application throughput.
Augmented Traffic Control est un simulateur de conditions réseau et une interface de contrôle du trafic Linux. Il émule la latence, la perte de paquets et les limites de bande passante pour tester les performances des applications sous diverses qualités réseau. Le projet fournit un gestionnaire de mise en forme réseau distant qui permet aux utilisateurs d'appliquer et de stocker des profils de mise en forme réseau dans une base de données pour une simulation cohérente. Ceci est accessible via un tableau de bord de gestion basé sur le web et une interface distante, supprimant le besoin d'une installation client locale. Le système couvre la mise en forme du trafic au niveau du noyau pour contraindre le trafic sortant et inclut un stockage de profils basé sur une base de données pour enregistrer et réutiliser des ensembles de configurations réseau prédéfinis. Il inclut également une API de mise en forme du trafic pour contrôler par programmation la bande passante et la latence.
Evaluates how applications load and function across different network speeds and connectivity levels.
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
Performance testing playground for learning and evaluating load tools.