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storax avatar

storax/kubedoom

0
View on GitHub↗
2,161 stars·136 forks·C++·GPL-3.0·9 views

Kubedoom

Kill Kubernetes pods by playing Id's DOOM!

Features

  • Reliability And Chaos - Experimental tool for terminating pods via a game interface.
  • Chaos Engineering Tools - Kills Kubernetes pods by playing a classic video game.
  • Testing and Troubleshooting - Chaos engineering tool that kills pods via a game.

Star history

Star history chart for storax/kubedoomStar history chart for storax/kubedoom

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does storax/kubedoom do?

Kill Kubernetes pods by playing Id's DOOM!

What are the main features of storax/kubedoom?

The main features of storax/kubedoom are: Reliability And Chaos, Chaos Engineering Tools, Testing and Troubleshooting.

Which projects share features with storax/kubedoom?

Projects with overlapping indexed features include: litmuschaos/litmus — Litmus is a cloud native chaos engineering platform and fault injection tool used to design and execute controlled… kubeshop/testkube — ☸️ The Open Testing Platform for AI-Driven Engineering Teams. chaos-mesh/chaos-mesh — Chaos Mesh is a cloud-native fault injection tool and Kubernetes chaos engineering platform designed to verify system… chaosblade-io/chaosblade — ChaosBlade is an open-source chaos engineering platform that injects faults into applications, containers, Kubernetes… asobti/kube-monkey — An implementation of Netflix's Chaos Monkey for Kubernetes clusters. chaostoolkit/chaostoolkit — Chaos Engineering Toolkit & Orchestration for Developers.

Projects sharing features with Kubedoom

These projects share indexed features with Kubedoom. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • litmuschaos/litmuslitmuschaos avatar

    litmuschaos/litmus

    5,432View on GitHub↗

    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

    Go
    View on GitHub↗5,432
  • chaosblade-io/chaosbladechaosblade-io avatar

    chaosblade-io/chaosblade

    6,355View on GitHub↗

    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

    Pythonalibabachaos-engineeringchaos-testing
    View on GitHub↗6,355
  • asobti/kube-monkeyasobti avatar

    asobti/kube-monkey

    3,064View on GitHub↗

    An implementation of Netflix's Chaos Monkey for Kubernetes clusters

    Go
    View on GitHub↗3,064
  • chaos-mesh/chaos-meshchaos-mesh avatar

    chaos-mesh/chaos-mesh

    7,761View on GitHub↗

    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.

    Go
    View on GitHub↗7,761
Compare all 30 related projects→