KubeEye: An Automatic Diagnostic Tool that Provides a Holistic View of Your Kubernetes Cluster

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.

Why Open Source

As the de facto standard in container orchestration, Kubernetes features a powerful and flexible architecture which supports various cloud-native add-ons. That said, there are some obstacles and problems which have haunted cluster operators and engineers for so long, such as:

CPU, memory or disk exceptions
Kernel deadlock and filesystem damage
Container runtime daemon not responding
Unhealthy etcd
Request and limit blackbox
Pod failures
Certificates expiring
Docker service failures
OOM (Out of Memory)

In fact, the problems listed here are just the tip of the iceberg. The majority of the cluster issues lies below the surface as they are not directly detectable from the cluster control plane. In other words, even with these potential issues, Kubernetes may continue to schedule Pods onto malfunctioning nodes, thus posing a greater threat to the stability and security of your cluster.

To identify these issues in time, the KubeSphere team developed KubeEye with over three years of expertise in Kubernetes cluster management and maintenance in production for both community users and commercial customers.

What Can KubeEye Do

Identify and detect problems in your Kubernetes cluster control plane, including kube-apiserver, kube-controller-manager and etcd.
Identify and detect various node problems, including memory, CPU and disk pressure, and unexpected kernel issues.
Validate YAML specifications of your workloads for best practices and compliance in the industry, thus improving cluster stability.

KubeEye Architecture

By calling the Kubernetes API, KubeEye gets diagnostic data as it matches key error messages in logs with rules of container syntax on a regular basis. See the architecture graph below:

kubeeye-architecture

Checklist

Here is a list including built-in items that will be checked by KubeEye. Unmarked items are still in development.

YES/NO	CHECK ITEM	Description
Yes	ETCDHealthStatus	If `etcd` is up and running
Yes	ControllerManagerHealthStatus	If Kubernetes `kube-controller-manager` is up and running
Yes	SchedulerHealthStatus	If Kubernetes `kube-scheduler` is up and running
Yes	NodeMemory	If node memory usage is above the threshold
Yes	DockerHealthStatus	If Docker is up and running
Yes	NodeDisk	If node disk usage is above the threshold
Yes	KubeletHealthStatus	If kubelet is active and running normally
Yes	NodeCPU	If node cpu usage is above the threshold
Yes	NodeCorruptOverlay2	Overlay2 is not available
Yes	NodeKernelNULLPointer	The node displays `NotReady`
Yes	NodeDeadlock	A deadlock happens when two or more processes are waiting for each other as they compete for resources
Yes	NodeOOM	Monitor processes that consume too much memory, especially those consuming plenty of memory very quickly. The kernel kills them to prevent them from running out of memory
Yes	NodeExt4Error	Ext4 mounting error
Yes	NodeTaskHung	Check if there is a process in state D for more than 120s
Yes	NodeUnregisterNetDevice	Check the corresponding network
Yes	NodeCorruptDockerImage	Check Docker images
Yes	NodeAUFSUmountHung	Check storage
Yes	NodeDockerHung	As Docker hangs, you can check Docker logs
Yes	PodSetLivenessProbe	If the liveness probe is set for every container in a Pod
Yes	PodSetTagNotSpecified	The mirror address does not declare a tag or the tag is `latest`
Yes	PodSetRunAsPrivileged	Running a Pod in a privileged mode means that the Pod can access the host’s resources and kernel capabilities
Yes	PodSetImagePullBackOff	The Pod cannot pull the image properly, so it can be pulled manually on the corresponding node
Yes	PodSetImageRegistry	Check if the image form is in the corresponding registry
Yes	PodSetCpuLimitsMissing	No CPU resource limit is declared
Yes	PodNoSuchFileOrDirectory	Check if the corresponding file exists inside the container
Yes	PodIOError	Caused by file IO performance bottlenecks
Yes	PodNoSuchDeviceOrAddress	Check the corresponding network
Yes	PodInvalidArgument	Check the corresponding storage
Yes	PodDeviceOrResourceBusy	Check the corresponding directory and PID
Yes	PodFileExists	Check existing files
Yes	PodTooManyOpenFiles	The number of open files or socket connections exceeds the system set value
Yes	PodNoSpaceLeftOnDevice	Check disk and inode usage
Yes	NodeApiServerExpiredPeriod	Check if the apiserver certificate expires in less than 30 days
Yes	PodSetCpuRequestsMissing	No CPU resource request is declared
Yes	PodSetHostIPCSet	Set the host IP
Yes	PodSetHostNetworkSet	Set the host network
Yes	PodHostPIDSet	Set the host PID
Yes	PodMemoryRequestsMiss	No memory resource request is declared
Yes	PodSetHostPort	Set the host port
Yes	PodSetMemoryLimitsMissing	No memory resource limit is declared
Yes	PodNotReadOnlyRootFiles	The file system is not set to `read-only`
Yes	PodSetPullPolicyNotAlways	The image pulling policy is not `Always`
Yes	PodSetRunAsRootAllowed	Executed as the root user
Yes	PodDangerousCapabilities	You have the dangerous option in capabilities such as `ALL`, `SYS_ADMIN` and `NET_ADMIN`
Yes	PodlivenessProbeMissing	The readiness probe is not set
Yes	privilegeEscalationAllowed	Privilege escalation is allowed
	NodeNotReadyAndUseOfClosedNetworkConnection	http2-max-streams-per-connection
	NodeNotReady	Fail to start `ContainerManager`; cannot set the property `TasksAccounting`, or unknown properties

Get Started with KubeEye

Clone the KubeEye GitHub repository and install the tool.
```
git clone https://github.com/kubesphere/kubeeye.git
```
```
cd kubeeye
```
```
make install
```
Note

You can also download the executable file from the GitHub release page of KubeEye.
Install Node Problem Detector (Optional), which will run as a DaemonSet in your cluster. You only need to install NPD when you want detailed reports.
```
ke install npd
```

Use KubeEye to make a diagnosis of your cluster.


$ ke diag
NODENAME        SEVERITY     HEARTBEATTIME               REASON              MESSAGE
node18          Fatal        2020-11-19T10:32:03+08:00   NodeStatusUnknown   Kubelet stopped posting node status.
node19          Fatal        2020-11-19T10:31:37+08:00   NodeStatusUnknown   Kubelet stopped posting node status.
node2           Fatal        2020-11-19T10:31:14+08:00   NodeStatusUnknown   Kubelet stopped posting node status.
node3           Fatal        2020-11-27T17:36:53+08:00   KubeletNotReady     Container runtime not ready: RuntimeReady=false reason:DockerDaemonNotReady message:docker: failed to get docker version: Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?
   
NAME            SEVERITY     TIME                        MESSAGE
scheduler       Fatal        2020-11-27T17:09:59+08:00   Get http://127.0.0.1:10251/healthz: dial tcp 127.0.0.1:10251: connect: connection refused
etcd-0          Fatal        2020-11-27T17:56:37+08:00   Get https://192.168.13.8:2379/health: dial tcp 192.168.13.8:2379: connect: connection refused
   
NAMESPACE       SEVERITY     PODNAME                                          EVENTTIME                   REASON                MESSAGE
default         Warning      node3.164b53d23ea79fc7                           2020-11-27T17:37:34+08:00   ContainerGCFailed     rpc error: code = Unknown desc = Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?
default         Warning      node3.164b553ca5740aae                           2020-11-27T18:03:31+08:00   FreeDiskSpaceFailed   failed to garbage collect required amount of images. Wanted to free 5399374233 bytes, but freed 416077545 bytes
default         Warning      nginx-b8ffcf679-q4n9v.16491643e6b68cd7           2020-11-27T17:09:24+08:00   Failed                Error: ImagePullBackOff
default         Warning      node3.164b5861e041a60e                           2020-11-27T19:01:09+08:00   SystemOOM             System OOM encountered, victim process: stress, pid: 16713
default         Warning      node3.164b58660f8d4590                           2020-11-27T19:01:27+08:00   OOMKilling            Out of memory: Kill process 16711 (stress) score 205 or sacrifice child Killed process 16711 (stress), UID 0, total-vm:826516kB, anon-rss:819296kB, file-rss:0kB, shmem-rss:0kB
insights-agent  Warning      workloads-1606467120.164b519ca8c67416            2020-11-27T16:57:05+08:00   DeadlineExceeded      Job was active longer than specified deadline
kube-system     Warning      calico-node-zvl9t.164b3dc50580845d               2020-11-27T17:09:35+08:00   DNSConfigForming      Nameserver limits were exceeded, some nameservers have been omitted, the applied nameserver line is: 100.64.11.3 114.114.114.114 119.29.29.29
kube-system     Warning      kube-proxy-4bnn7.164b3dc4f4c4125d                2020-11-27T17:09:09+08:00   DNSConfigForming      Nameserver limits were exceeded, some nameservers have been omitted, the applied nameserver line is: 100.64.11.3 114.114.114.114 119.29.29.29
kube-system     Warning      nodelocaldns-2zbhh.164b3dc4f42d358b              2020-11-27T17:09:14+08:00   DNSConfigForming      Nameserver limits were exceeded, some nameservers have been omitted, the applied nameserver line is: 100.64.11.3 114.114.114.114 119.29.29.29
   
NAMESPACE       SEVERITY     NAME                      KIND         TIME                        MESSAGE
kube-system     Warning      node-problem-detector     DaemonSet    2020-11-27T17:09:59+08:00   [livenessProbeMissing runAsPrivileged]
kube-system     Warning      calico-node               DaemonSet    2020-11-27T17:09:59+08:00   [runAsPrivileged cpuLimitsMissing]
kube-system     Warning      nodelocaldns              DaemonSet    2020-11-27T17:09:59+08:00   [cpuLimitsMissing runAsPrivileged]
default         Warning      nginx                     Deployment   2020-11-27T17:09:59+08:00   [cpuLimitsMissing livenessProbeMissing tagNotSpecified]
insights-agent  Warning      workloads                 CronJob      2020-11-27T17:09:59+08:00   [livenessProbeMissing]
insights-agent  Warning      cronjob-executor          Job          2020-11-27T17:09:59+08:00   [livenessProbeMissing]
kube-system     Warning      calico-kube-controllers   Deployment   2020-11-27T17:09:59+08:00   [cpuLimitsMissing livenessProbeMissing]
kube-system     Warning      coredns                   Deployment   2020-11-27T17:09:59+08:00   [cpuLimitsMissing]

Add Custom Check Rules

In addition to the pre-defined diagnostic items and rules, KubeEye also supports customized rules. For example:

Make sure you have installed NPD.
```
ke install npd
```

Edit its ConfigMap using Kubectl.


kubectl edit cm -n kube-system node-problem-detector-config

Add regular expression rules in the ConfigMap for exceptional logs.

Customize Best Practice Rules

Create a rule in YAML. For example, the rule below checks your Pod specification to make sure images only come from the authorized registry.


checks:
  imageFromUnauthorizedRegistry: warning
      
customChecks:
  imageFromUnauthorizedRegistry:
    promptMessage: When the corresponding rule does not match, show that image from an unauthorized registry.
    category: Images
    target: Container
    schema:
      '$schema': http://json-schema.org/draft-07/schema
      type: object
      properties:
        image:
          type: string
          not:
            pattern: ^quay.io

Save the file, such as rule.yaml.

Run KubeEye with the YAML file.


$ ke diag -f rule.yaml --kubeconfig ~/.kube/config
NAMESPACE     SEVERITY    NAME                      KIND         TIME                        MESSAGE
default       Warning     nginx                     Deployment   2020-11-27T17:18:31+08:00   [imageFromUnauthorizedRegistry]
kube-system   Warning     node-problem-detector     DaemonSet    2020-11-27T17:18:31+08:00   [livenessProbeMissing runAsPrivileged]
kube-system   Warning     calico-node               DaemonSet    2020-11-27T17:18:31+08:00   [cpuLimitsMissing runAsPrivileged]
kube-system   Warning     calico-kube-controllers   Deployment   2020-11-27T17:18:31+08:00   [cpuLimitsMissing livenessProbeMissing]
kube-system   Warning     nodelocaldns              DaemonSet    2020-11-27T17:18:31+08:00   [runAsPrivileged cpuLimitsMissing]
default       Warning     nginx                     Deployment   2020-11-27T17:18:31+08:00   [livenessProbeMissing cpuLimitsMissing]
kube-system   Warning     coredns                   Deployment   2020-11-27T17:18:31+08:00   [cpuLimitsMissing]

Roadmap

Going forward, KubeEye will add support for:

Fine-grained diagnostic items, such as the slow response time of Kubernetes clusters.
The diagnosis of KubeSphere components, such as DevOps and service mesh.
The diagnosis of cluster network and storage.

Reference

KubeEye GitHub repository

KubeEye FAQ

Node Problem Detector