An automatic diagnostic tool for Kubernetes cluster

This page summarizes the projects mentioned and recommended in the original post on /r/kubernetes

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  • kubeeye

    KubeEye aims to find various problems on Kubernetes, such as application misconfiguration, unhealthy cluster components and node problems.

    KubeEye is an open-source diagnostic tool for identifying various Kubernetes cluster issues automatically, such as misconfigurations, unhealthy components and node failures

  • polaris

    Validation of best practices in your Kubernetes clusters (by FairwindsOps)

    KubeEye is an open-source diagnostic tool for identifying various Kubernetes cluster issues automatically, such as misconfigurations, unhealthy components and node failures. It empowers cluster operators to manage and troubleshoot clusters in a timely and graceful manner. Developed in Go on the basis of Polaris and Node Problem Detector, KubeEye is equipped with a series of built-in rules for exception detection. Besides pre-defined rules, KubeEye also supports customized rules.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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