Open-source alternatives to Namazu

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

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

Randomly terminate ASG instances during business hours

Kills half of your randomly selected kubernetes pods.

A powerful testing tool for Kubernetes clusters.

ChaosBlade is an open-source chaos engineering platform that injects faults into applications, containers, Kubernetes clusters, and host systems to test resilience. It functions as a multi-layer fault injection tool, capable of disrupting system resources, Java, C++, NodeJS, and Golang applications, Docker containers, and Kubernetes pods and nodes from a single interface. The platform distinguishes itself through its architecture, which defines chaos experiments as Kubernetes Custom Resource Definitions for native cluster integration, and supports multiple fault injection mechanisms including

Chaos Engineering Toolkit & Orchestration for Developers

Chaos and resiliency testing tool for Kubernetes with a focus on improving performance under failure conditions. A CNCF sandbox project.

Kubernetes performance and scale test orchestration framework written in golang

Turbulence release is used for injecting failure scenarios into any BOSH deployment.

A curated list of Chaos Engineering resources.

Chaos testing, network emulation, and stress testing tool for containers

Orchestrator is a high availability system and replication manager for MySQL database clusters. It functions as a failover automator and topology visualizer designed to detect master failures and promote standby replicas to minimize system downtime. The project focuses on managing and reconfiguring MySQL replication topologies to maintain consistent data distribution. It utilizes topology discovery crawling to map replication structures and identifies active failures within the database cluster. The system provides capabilities for automated cluster recovery, location-aware instance tracking

Chaos Engineering for your React apps.

Monkey and Lemur are taken, so Chaos Dingo it is. A tool to mess with Azure services leveraging the Azure NodeJS sdks.

chaoskube periodically kills random pods in your Kubernetes cluster.

Litmus is a cloud native chaos engineering platform and fault injection tool used to design and execute controlled infrastructure failure simulations within Kubernetes environments. It serves as a resilience testing framework for analyzing system behavior during induced outages to identify weaknesses and potential outages. The project functions as a GitOps chaos orchestrator, using declarative version control to automate the deployment and scheduling of resilience tests. It provides tools for chaos workflow management and the orchestration of experiment sequences to visualize and test infrast

Gamified Chaos Engineering Tool for Kubernetes

Extensible platform for infrastructure management

:monkey: Bytecode-level fault injection for the JVM.

Chaos Monkey is a chaos engineering tool designed to verify the resilience of distributed systems by intentionally terminating production instances. It functions as a fault injection service that identifies weaknesses in cloud-based architectures by simulating real-world hardware and software outages. The platform operates through a centralized orchestration engine that executes periodic disruption cycles based on predefined configuration rules. It employs a rule-based selection process that evaluates instance metadata against safety constraints to ensure that only eligible targets are disrup