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ModusCreateOrg/slow

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View on GitHub↗
0 estrellas·0 forks·2 vistas

Slow

Features

  • Chaos Engineering - Tool for simulating slow network connections and latency.

Historial de estrellas

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Preguntas frecuentes

¿Cuáles son las características principales de moduscreateorg/slow?

Las características principales de moduscreateorg/slow son: Chaos Engineering.

¿Qué alternativas de código abierto existen para moduscreateorg/slow?

Las alternativas de código abierto para moduscreateorg/slow incluyen: marmelab/gremlins.js — gremlins.js is a JavaScript stress testing framework and web UI monkey testing library. It functions as a browser… aphyr/distsys-class — This project provides educational materials and courseware focused on the theoretical and practical foundations of… dastergon/awesome-chaos-engineering — A curated list of Chaos Engineering resources. dcm-oss/blockade. linkedin/simoorg. mefellows/muxy — Proxy for simulating real-world distributed system failures to improve resilience in your applications.

Alternativas open-source a Slow

Proyectos open-source similares, clasificados según cuántas características comparten con Slow.
  • marmelab/gremlins.jsAvatar de marmelab

    marmelab/gremlins.js

    9,080Ver en GitHub↗

    gremlins.js is a JavaScript stress testing framework and web UI monkey testing library. It functions as a browser chaos testing tool that automates random interactions with DOM elements to identify stability issues, unexpected crashes, and edge-case bugs in web applications. The tool utilizes a seeded-random interaction engine to ensure test sequence repeatability, allowing specific failure sequences to be recreated for debugging. It supports the definition of custom interaction rules and pluggable strategies to target specific application behaviors through weighted-probability action dispatc

    JavaScriptfrontendfuzz-testingtest
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  • aphyr/distsys-classAvatar de aphyr

    aphyr/distsys-class

    9,717Ver en GitHub↗

    This project provides educational materials and courseware focused on the theoretical and practical foundations of distributed systems design. It serves as a comprehensive curriculum covering the disciplines of consensus, data consistency, reliability engineering, and scalability. The instructional content focuses on achieving cluster agreement through consensus algorithms and managing system-wide state via coordination frameworks. It includes a dedicated guide to data theory, exploring replication strategies, consistency models, and data convergence. The courseware covers a broad capability

    Ver en GitHub↗9,717
  • dastergon/awesome-chaos-engineeringAvatar de dastergon

    dastergon/awesome-chaos-engineering

    6,593Ver en GitHub↗

    A curated list of Chaos Engineering resources.

    Ver en GitHub↗6,593
  • dcm-oss/blockadeD

    dcm-oss/blockade

    0Ver en GitHub↗
    Ver en GitHub↗0
  • Ver las 12 alternativas a Slow→