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kraken's Introduction

Kraken

Chaos and resiliency testing tool for Kubernetes and OpenShift. Kraken injects deliberate failures into Kubernetes/OpenShift clusters to check if it is resilient to turbulent conditions.

Workflow

Kraken workflow

Installation and usage

Instructions on how to setup, configure and run Kraken can be found at Installation.

Config

Instructions on how to setup the config and the options supported can be found at Config.

Kubernetes/OpenShift chaos scenarios supported

Kraken supports pod, node and time/date based scenarios.

Kraken scenario pass/fail criteria and report

It's important to make sure to check if the targeted component recovered from the chaos injection and also if the Kubernetes/OpenShift cluster is healthy as failures in one component can have an adverse impact on other components. Kraken does this by:

  • Having built in checks for pod and node based scenarios to ensure the expected number of replicas and nodes are up. It also supports running custom scripts with the checks.
  • Leveraging Cerberus to monitor the cluster under test and consuming the aggregated go/no-go signal to determine pass/fail. It is highly recommended to turn on the Cerberus health check feature avaliable in Kraken. Instructions on installing and setting up Cerberus can be found here. Once Cerberus is up and running, set cerberus_enabled to True and cerberus_url to the url where Cerberus publishes go/no-go signal in the Kraken config file.

Performance monitoring

Monitoring the Kubernetes/OpenShift cluster to observe the impact of Kraken chaos scenarios on various components is key to find out the bottlenecks as it's important to make sure the cluster is healthy in terms if both recovery as well as performance during/after the failure has been injected. Instructions on enabling it can be found here.

Blogs and other useful resources

Contributions

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

Community

Key Members(slack_usernames): paigerube14, rook, mffiedler, mohit, dry923, rsevilla, ravi

kraken's People

Contributors

paigerube14 avatar mffiedler avatar chaitanyaenr avatar yashashreesuresh avatar juliemathew avatar bmos299 avatar smalleni avatar arcprabh avatar

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