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140 lines
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# GitHub – dastergon/awesome-chaos-engineering: A curated list of awesome Chaos Engineering resources
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- **期号**: SRE Weekly Issue #83（2017-07-30）
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- **作者**: —
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- **链接**: https://github.com/dastergon/awesome-chaos-engineering
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## 简介
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Remember Awesome SRE? The same author, Pavlos Ratis, has pulled together a ton of links on Chaos Engineering. Thanks, Pavlos!
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## 正文
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# Awesome Chaos Engineering 
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A curated list of awesome [Chaos Engineering](http://principlesofchaos.org/) resources.
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Chaos Engineering is the discipline of experimenting on a distributed system in order to build confidence in the system’s capability to withstand turbulent conditions in production. - [Principles Of Chaos Engineering](http://principlesofchaos.org/) website.
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- [Chaos Monkey](https://github.com/Netflix/chaosmonkey) - A resiliency tool that helps applications tolerate random instance failures.
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- [orchestrator](https://github.com/github/orchestrator) - MySQL replication topology management and HA.
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- [kube-monkey](https://github.com/asobti/kube-monkey) - An implementation of Netflix's Chaos Monkey for Kubernetes clusters.
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- [Gremlin Inc.](https://www.gremlin.com/) - Failure as a Service.
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- [Chaos Toolkit](https://github.com/chaostoolkit/chaostoolkit) - A chaos engineering toolkit to help you build confidence in your software system.
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- [steadybit](https://www.steadybit.com/) - A Chaos Engineering platform (SaaS or On-Prem) with auto discovery features, different attack types, user management and many more.
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- [PowerfulSeal](https://github.com/bloomberg/powerfulseal) - Adds chaos to your Kubernetes clusters, so that you can detect problems in your systems as early as possible. It kills targeted pods and takes VMs up and down.
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- [drax](https://github.com/dcos-labs/drax) - DC/OS Resilience Automated Xenodiagnosis tool. It helps to test DC/OS deployments by applying a Chaos Monkey-inspired, proactive and invasive testing approach.
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- [Wiremock](http://wiremock.org/) - API mocking (Service Virtualization) which enables modeling real world faults and delays
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- [MockLab](http://get.mocklab.io/) - API mocking (Service Virtualization) as a service which enables modeling real world faults and delays.
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- [Pod-Reaper](https://github.com/target/pod-reaper) - A rules based pod killing container. Pod-Reaper was designed to kill pods that meet specific conditions that can be used for Chaos testing in Kubernetes.
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- [Muxy](https://github.com/mefellows/muxy/) - A chaos testing tool for simulating a real-world distributed system failures.
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- [Toxiproxy](https://github.com/Shopify/toxiproxy) - A TCP proxy to simulate network and system conditions for chaos and resiliency testing.
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- Chaos engineering for Docker:
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- [chaos-lambda](https://github.com/bbc/chaos-lambda) - Randomly terminate ASG instances during business hours.
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- [Namazu](https://github.com/osrg/namazu) - Programmable fuzzy scheduler for testing distributed systems.
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- [Chaos Monkey for Spring Boot](https://codecentric.github.io/chaos-monkey-spring-boot/) - Injects latencies, exceptions, and terminations into Spring Boot applications
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- [Byte-Monkey](https://github.com/mrwilson/byte-monkey) - Bytecode-level fault injection for the JVM. It works by instrumenting application code on the fly to deliberately introduce faults like exceptions and latency.
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- [GomJabbar](https://github.com/outbrain/GomJabbar) - ChaosMonkey for your private cloud
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- [Turbulence](https://github.com/cppforlife/turbulence-release) - Tool focused on BOSH environments capable of stressing VMs, manipulating network traffic, and more. It is very simmilar to Gremlin.
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- [chaosblade](https://github.com/chaosblade-io/chaosblade) - An Easy to Use and Powerful Chaos Engineering Toolkit.
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- [KubeInvaders](https://github.com/lucky-sideburn/KubeInvaders) - Gamfied Chaos engineering tool for Kubernetes Clusters
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- [Cthulhu](https://github.com/xmatters/cthulhu-chaos-testing) - Chaos Engineering tool that helps evaluating the resiliency of microservice systems simulating various disaster scenarios against a target infrastructure in a data-driven manner.
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- [VMware Mangle](https://vmware.github.io/mangle/) - Orchestrating Chaos Engineering.
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- [Byteman](https://byteman.jboss.org/) - A Swiss Army Knife for Byte Code Manipulation.
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- [Litmus](https://github.com/litmuschaos/litmus) - Framework for Kubernetes environments that enables users to run test suites, capture logs, generate reports and perform chaos tests.
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- [Perses](https://github.com/nicolasmanic/perses) - A project to cause (controlled) destruction to a JVM application.
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- [ChaosKube](https://github.com/linki/chaoskube) - chaoskube periodically kills random pods in your Kubernetes cluster.
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- [Chaos Mesh](https://github.com/chaos-mesh/chaos-mesh) - Chaos Mesh is a cloud-native Chaos Engineering platform that orchestrates chaos on Kubernetes environments.
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- [failure-lambda](https://github.com/gunnargrosch/failure-lambda) - A small Node module for injecting failure into AWS Lambda using latency, exception, statuscode or diskspace.
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- [aws-chaos-scripts](https://github.com/adhorn/aws-chaos-scripts) - Collection of python scripts to run failure injection on AWS infrastructure
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- [chaos-ssm-documents](https://github.com/adhorn/chaos-ssm-documents) - Collection of AWS SSM Documents to perform Chaos Engineering experiments
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- [aws-lambda-chaos-injection](https://github.com/adhorn/aws-lambda-chaos-injection) - A library injecting chaos into AWS Lambda. It offers simple python decorators to do delay, exception and statusCode injection and a Class to add delay to any 3rd party dependencies.
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- [chaos-dingo](https://github.com/jmspring/chaos-dingo) - A tool to mess with Azure services using the Azure NodeJS SDK.
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- [Chaos HTTP Proxy](https://github.com/bouncestorage/chaos-http-proxy) - Introduce failures into HTTP requests via a proxy server
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- [Chaos Lemur](https://github.com/strepsirrhini-army/chaos-lemur) - A self-hostable application to randomly destroy virtual machines in a BOSH-managed environment
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- [Simoorg](https://github.com/linkedin/simoorg) - Linkedin’s very own failure inducer framework.
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- [react-chaos](https://github.com/jchiatt/react-chaos) - A chaos engineering tool for your React apps
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- [vue-chaos](https://github.com/aviadhahami/vue-chaos) - A chaos engineering tool for your Vue apps
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- [Chaos Engine](https://github.com/ThalesGroup/chaos-engine) - tool designed to intermittently destroy or degrade application resources running in cloud based infrastructure.[Documentation](https://thalesgroup.github.io/chaos-engine/)
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- [kubedoom](https://github.com/storax/kubedoom) - Kill Kubernetes pods by playing Id's DOOM.
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- [kubethanos](https://github.com/berkay-dincer/kubethanos) - Kills half of your randomly selected Kubernetes pods.
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- [go-fault](https://github.com/github/go-fault) - Fault injection middleware in Go
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- [Proofdock's Chaos Engineering Platform](https://proofdock.io) - A chaos engineering platform that seamlessly integrates in Azure DevOps and has a focus on the Azure cloud platform.
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- [Pystol](https://www.pystol.org/docs) - Pystol is a fault injection platform allowing users to execute fault injection Actions in cloud-native environments in a controlled and prescribed way.
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- [AWSSSMChaosRunner](https://github.com/amzn/awsssmchaosrunner) - Amazon's light-weight open-source library for chaos engineering on AWS. It can be used for[EC2](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts.html) ,[ECS (with EC2 launch type)](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-ecs-ec2.html) and[Fargate](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started-fargate.html) .
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- [Kraken](https://github.com/cloud-bulldozer/kraken) - Chaos and resiliency testing tool for Kubernetes and OpenShift.
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- [kube-burner](https://github.com/cloud-bulldozer/kube-burner) - A tool aimed at stressing Kubernetes clusters by creating or deleting a high quantity of objects.
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- [Chaos Experimentation Framework](https://github.com/lyft/clutch) - An extensible platform for infrastructure management including Chaos Engineering
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- [NetHavoc](https://www.cavisson.com/nethavoc-resilience-testing-solution/) - A Chaos Engineering Tool for Linux, K8s, Windows, PCF, Cloud, and Containers for injecting Resource, Infrastructure, Network, and Application failures.
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- [gorm-sqlchaos](https://github.com/u2386/gorm-sqlchaos) - A runtime SQL manipulator for your Golang applications based on gorm.
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- [Chaos Frontend Toolkit](https://chaos-frontend-toolkit.web.app/) - A set of tools to apply Chaos Engineering to frontend
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- [Mitigant](https://mitigant.io/) - The Continuos Security Verification Platform, enables confidence in cloud security posture by leveraging security chaos engineering.
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- [The Simian Army](https://github.com/Netflix/SimianArmy) - A suite of tools for keeping your cloud operating in top form.
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- [ChaoSlingr](https://github.com/Optum/ChaoSlingr) - Introducing Security Chaos Engineering. ChaoSlingr focuses primarily on the experimentation on AWS Infrastructure to proactively instrument system security failure through experimentation.
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- [Testing Amazon Aurora Using Fault Injection Queries](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/AuroraMySQL.Managing.html#AuroraMySQL.Managing.FaultInjectionQueries)
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- [Azure Chaos Studio](https://aka.ms/azurechaosstudio) - A managed fault injection service for Azure applications. See also[Azure Fault Analysis Service](https://docs.microsoft.com/azure/service-fabric/service-fabric-testability-overview) for Azure Service Fabric applications.
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- [Security Chaos Engineering for Cloud Services](https://medium.com/@run2obtain/from-resilience-to-dependability-security-chaos-engineering-for-cloud-services-9c6d6d152ed2)
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- [Target: What is a Gameday?](https://tech.target.com/2019/05/09/chaos-engineering-at-Target.html) - Chaos Gamedays experience by Target.
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- [Codecentric: Chaos Engineering Gamedays](https://blog.codecentric.de/en/2018/08/chaos-engineering-gameday/) - Chaos Gamedays by Codecentric.
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- [New Relic: How to run a Gameday?](https://blog.newrelic.com/engineering/how-to-run-a-game-day/) - Chaos Gamedays experience by New Relic.
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- [Dius: Gamedays resources](https://dius.com.au/resources/game-day/) - Resources for getting started with GameDay and Chaos Engineering.
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- [Gremlin: Gamedays](https://www.gremlin.com/gameday/) - Resources for getting started with GameDay and Chaos Engineering.
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- [Gremlin: What is a Chaos Day?](https://www.gremlin.com/community/tutorials/planning-your-own-chaos-day/#what-is-a-chaos-day) - What is a Gameday according Gremlin.
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- [Gremlin: Why run a Chaos Day?](https://www.gremlin.com/community/tutorials/planning-your-own-chaos-day/#why-run-a-chaos-day) - Reasons to run Gamedays according Gremlin.
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- [Gremlin: How to run a Gameday?](https://www.gremlin.com/community/tutorials/how-to-run-a-gameday/) - Methodology to run Gamedays according Gremlin.
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- [Gremlin DB: Breaking Dynamo DB](https://www.gremlin.com/community/tutorials/gremlin-gameday-breaking-dynamodb/) - Example of a Gameday with DynamoDB by Gremlin.
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- [Gremlin: Introduction to Gameday](https://www.gremlin.com/community/tutorials/introduction-to-gamedays/) - What is a Gameday according Gremlin.
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- [Gremlin: Planning your own Chaos Day](https://www.gremlin.com/community/tutorials/planning-your-own-chaos-day/) - Example of a Gameday with DynamoDB by Gremlin.
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- [Gremlin: Inside Gremlin 2019 Gremlin Gamedays Roadmap](https://www.gremlin.com/community/tutorials/inside-gremlin-2019-gremlin-gamedays-roadmap/) - Chaos Gamedays experience by Gremlin.
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- [Gremlin: What I lerned running the Chaos Lab with Kafka](https://www.gremlin.com/community/tutorials/what-i-learned-running-the-chaos-lab-kafka-breaks/) - Example of a Gameday with Kafka by Gremlin.
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- [Chaos Toolkit: Chaos Engineering with Humans in the loop](https://medium.com/chaos-toolkit/chaos-engineering-with-humans-in-the-loop-f4854900b1eb) - Article about Chaos Gamedays.
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- [GooCardless: All fun and games until you start with Gamedays](https://gocardless.com/blog/game-days-at-gc/) - Article about Chaos Gamedays.
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- [InfoQ: Gamedays - Achieving Resilience through Chaos Engineering](https://www.infoq.com/presentations/gameday-chaos-engineering) - InfoQ Presentation with experiences about Chaos Gamedays.
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- [Netflix Technology Blog](https://medium.com/@NetflixTechBlog) - Learn more about how Netflix designs, builds, and operates our systems and engineering organizations.
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- [Production Ready](https://tinyletter.com/production-ready) - A mailing list about building resilient infrastructure and tools.
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- [SRE Weekly](https://sreweekly.com/) - Weekly Site Reliability Newsletter.
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- [Site Reliability Engineering resources](https://github.com/dastergon/awesome-sre) - A curated list of awesome Site Reliability and Production Engineering resources.
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- [SysAdvent](https://sysadvent.blogspot.com) - One article for each day of December, ending on the 25th article.
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- [Gremlin Blog](https://blog.gremlininc.com) - Blogs on Chaos Engineering from Gremlin Inc.
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- [O’Reilly Systems Engineering and Operations Newsletter](http://www.oreilly.com/webops-perf/newsletter.html) - Weekly systems engineering and operations news and insights from industry insiders.
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- [LaunchDarkly Blog](http://blog.launchdarkly.com/) - Continuous delivery and feature flags blog.
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- [Verica](https://www.verica.io/) - Chaos engineering, security chaos engineering and continuous verification.
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- [Proofdock](https://medium.com/proofdock) - Reliability, resilience and chaos engineering with a focus on MS Azure
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- [LitmusChaos Blog](https://dev.to/t/litmuschaos/latest) - Blogs on Chaos Engineering from LitmusChaos
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- [ChaosEngineering.news](https://chaosengineering.news/) - Chaos Engineering newsletter. All things chaos engineering, directly to your inbox!
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- [Chaos Mesh Blog](https://chaos-mesh.org/blog) - Blogs on Chaos Engineering from Chaos Mesh.
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- [Chaos Experimentation Framework](https://eng.lyft.com/chaos-experimentation-an-open-source-framework-built-on-top-of-envoy-proxy-df87519ed681) Chaos Experimentation, an open-source framework built on top of Envoy Proxy
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- [Squadcast](https://squadcast.com/blog) - Blog on Site Reliability engineering.
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- [steadybit Blog](https://www.steadybit.com/blog) - Blogs on Chaos Engineering, Resilience, SRE and OPS from steadybit.
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- [Break Things On Purpose](https://podcasts.apple.com/us/podcast/break-things-on-purpose/id1460542551) - Monthly podcast about Chaos Engineering presented by Gremlin Inc. Also available on Spotify, Google Play, and Stitcher.
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- [Chaos Carnival](https://chaoscarnival.io/) - A global two-day virtual conference for Cloud Native Chaos Engineering.
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- [Chaos Conf](https://chaosconf.splashthat.com/) - A day of Chaos Engineering demos, expert advice, and connect with your peers putting chaos into practice at their companies.
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- [SRECon Conferences](https://www.usenix.org/conferences/byname/925) - The official SRE conference.
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- [LISA Conferences](https://www.usenix.org/conferences/byname/5) - Prominent conference about SysAdmin/DevOps/SRE.
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- [O'Reilly Velocity Conference](https://conferences.oreilly.com/velocity/) - Prominent conference about Systems Engineering/DevOps/SRE.
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- [Chaos Engineering Community Meetup Group](https://www.meetup.com/Chaos-Engineering-Community/) - Bay Area Meetup group for Chaos Engineers.
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- [London Chaos Engineering Community](https://www.meetup.com/London-Chaos-Engineering-Community/) _ London Area Meetup group for Chaos Engineers.
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- [Stockholm Chaos Engineering Meetup](https://www.meetup.com/Stockholm-Chaos-Engineering-Community/) Stockholm Meetup group for Chaos Engineers.
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- [Chaos Engineering Community](https://www.meetup.com/pro/chaos/) - A collection of meetups across the globe about Chaos Engineerings.
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- [Conf42.com: Chaos Engineering](https://conf42.com) - Chaos Engineering for practitioners and adopters - London UK, 23 Jan 2020.
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- [Kubernetes Chaos Engineering Meetup Group India](https://www.meetup.com/Kubernetes-Chaos-Engineering-Meetup-Group-India/) - India Meetup group for Chaos Engineers.
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- [Chaos Community Google Group](https://groups.google.com/forum/#!forum/chaos-community)
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- [Chaos Engineering LinkedIn Group](https://www.linkedin.com/groups/7057761)
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- [Chaos Engineering Slack Community](https://gremlin.com/community)
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- [CNCF Chaos Engineering Working Group](https://groups.google.com/forum/#!forum/chaoseng-wg)
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- CNCF Chaos Engineering Working Group Slack: #chaosengineering (slack.cncf.io)
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- [CNCF Chaos Engineering Working Group Github](https://github.com/chaoseng/wg-chaoseng)
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- [Chaos Toolkit Slack Community](https://join.chaostoolkit.org)
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- [Litmus Chaos Engineering Slack Community](https://slack.litmuschaos.io/)
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Please take a look at the [contribution guidelines](https://github.com/dastergon/awesome-chaos-engineering/blob/master/CONTRIBUTING.md) first. Contributions are always welcome!
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