Open-source alternatives to Chaos Lambda

Kills half of your randomly selected kubernetes pods.

A powerful testing tool for Kubernetes clusters.

Chaos Mesh is a cloud-native fault injection tool and Kubernetes chaos engineering platform designed to verify system resilience. It functions as a testing framework for designing and executing automated failure scenarios to evaluate how containerized workloads recover from disruptions. The project acts as a multi-cluster chaos orchestrator, providing a centralized control plane to manage and monitor experiments across multiple remote Kubernetes clusters from a single interface. It includes a dashboard for the visual scheduling of experiments and the coordination of complex failure scenarios.

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.

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

Proxy for simulating real-world distributed system failures to improve resilience in your applications.

: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

SimianArmy is a chaos engineering framework and resilience testing tool designed to induce random infrastructure failures in cloud environments. It functions as a cloud instance termination tool that simulates unplanned outages to verify that distributed architectures maintain high availability and fault tolerance. The system identifies and terminates cloud server instances to ensure applications can tolerate unexpected hardware failures without interrupting service. This process allows for the verification of automated failover mechanisms and the identification of weaknesses in system reliab