Chaos and resiliency testing tool for Kubernetes. Kraken injects deliberate failures into Kubernetes clusters to check if it is resilient to turbulent conditions.
Kraken Website is the one stop shop for all things Kraken. The website contains comprehensive information about the workflow, supported scenarios, and detailed descriptions of each scenario. It also provides the necessary configurations needed to run Kraken, along with insights into performance monitoring and signaling features.
Instructions on how to setup, configure and run Kraken can be found at Installation.
You may consider utilizing the chaos recommendation tool prior to initiating the chaos runs to profile the application service(s) under test. This tool discovers a list of Krkn scenarios with a high probability of causing failures or disruptions to your application service(s). The tool can be accessed at Chaos-Recommender.
See the getting started doc on support on how to get started with your own custom scenario or editing current scenarios for your specific usage.
After installation, refer back to the below sections for supported scenarios and how to tweak the kraken config to load them on your cluster.
Instructions on how to setup the config and the options supported can be found at Config.
- Blog post on introduction to Kraken: https://www.openshift.com/blog/introduction-to-kraken-a-chaos-tool-for-openshift/kubernetes
- Discussion and demo on how Kraken can be leveraged to ensure OpenShift is reliable, performant and scalable: https://www.youtube.com/watch?v=s1PvupI5sD0&ab_channel=OpenShift
- Blog post emphasizing the importance of making Chaos part of Performance and Scale runs to mimic the production environments: https://www.openshift.com/blog/making-chaos-part-of-kubernetes/openshift-performance-and-scalability-tests
- Blog post on findings from Chaos test runs: https://cloud.redhat.com/blog/openshift/kubernetes-chaos-stories
- Discussion with CNCF TAG App Delivery on Krkn workflow, features and addition to CNCF sandbox: Github, Tracker, recording
- Blog post on supercharging chaos testing using AI integration in Krkn: https://www.redhat.com/en/blog/supercharging-chaos-testing-using-ai
- Blog post announcing Krkn joining CNCF Sandbox: https://www.redhat.com/en/blog/krknchaos-joining-cncf-sandbox
Enhancements being planned can be found in the roadmap.
We are always looking for more enhancements, fixes to make it better, any contributions are most welcome. Feel free to report or work on the issues filed on github.
More information on how to Contribute
If adding a new scenario or tweaking the main config, be sure to add in updates into the CI to be sure the CI is up to date. Please read this file for more information on updates.
If you're gearing up to develop new scenarios, take a moment to review our Scenario Plugin API Documentation. It’s the perfect starting point to tap into your chaotic creativity!
Key Members(slack_usernames/full name): paigerube14/Paige Rubendall, mffiedler/Mike Fiedler, tsebasti/Tullio Sebastiani, yogi/Yogananth Subramanian, sahil/Sahil Shah, pradeep/Pradeep Surisetty and ravielluri/Naga Ravi Chaitanya Elluri.
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