Kubeeye | Tool To Find Various Problems On Kubernetes, Such As Application Misconfiguration, Unhealthy Cluster Components And Node Problems

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Ruchika oberoi

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KubeEye is an inspection tool for Kubernetes. It discovers whether Kubernetes resources (by using ), cluster components, cluster nodes (by using ), and other configurations comply with best practices and makes modification suggestions accordingly.

KubeEye supports custom inspection rules and plugin installation. With , you can intuitively view the inspection results and modification suggestions on the web console.

Architecture​

KubeEye obtains cluster resource details by using Kubernetes APIs, inspects resource configurations by using inspection rules and plugins, and generates inspection results. The architecture of KubeEye is as follows:



Install and use KubeEye​

  1. Install KubeEye on your machine.
  • Method 1: Download the pre-built executable file from .
  • Method 2: Build from the source code.
Note: KubeEye files will be generated in /usr/local/bin/ on your machine.
git clone cd kubeeye make installke

  1. (Optional) Install .
Note: If you need detailed reports, run the following command, and then NPD will be installed on your cluster.
kubeeye install npd

  1. Run KubeEye to inspect clusters.
Note: The results of KubeEye are sorted by resource kind.
kubeeye audit KIND NAMESPACE NAME REASON LEVEL MESSAGE Node docker-desktop kubelet has no sufficient memory available warning KubeletHasNoSufficientMemory Node docker-desktop kubelet has no sufficient PID available warning KubeletHasNoSufficientPID Node docker-desktop kubelet has disk pressure warning KubeletHasDiskPressure Deployment default testkubeeye NoCPULimits Deployment default testkubeeye NoReadinessProbe Deployment default testkubeeye NotRunAsNonRoot Deployment kube-system coredns NoCPULimits Deployment kube-system coredns ImagePullPolicyNotAlways Deployment kube-system coredns NotRunAsNonRoot Deployment kubeeye-system kubeeye-controller-manager ImagePullPolicyNotAlways Deployment kubeeye-system kubeeye-controller-manager NotRunAsNonRoot DaemonSet kube-system kube-proxy NoCPULimits DaemonSet k ube-system kube-proxy NotRunAsNonRoot Event kube-system coredns-558bd4d5db-c26j8.16d5fa3ddf56675f Unhealthy warning Readiness probe failed: Get “ ”: dial tcp 10.1.0.87:8181: connect: connection refused Event kube-system coredns-558bd4d5db-c26j8.16d5fa3fbdc834c9 Unhealthy warning Readiness probe failed: HTTP probe failed with statuscode: 503 Event kube-system vpnkit-controller.16d5ac2b2b4fa1eb BackOff warning Back-off restarting failed container Event kube-system vpnkit-controller.16d5fa44d0502641 BackOff warning Back-off restarting failed container Event kubeeye-system kubeeye-controller-manager-7f79c4ccc8-f2njw.16d5fa3f5fc3229c Failed warning Failed to pull image “controller:latest”: rpc error: code = Unknown desc = Error response from daemon: pull access denied for controller, repository does not exist or may require ‘docker login’: denied: requested access to the resource is denied Event kubeeye-system kubeeye-controller-manager-7f79c4ccc8-f2njw.16d5fa3f61b28527 Failed warning Error: ImagePullBackOff Role kubeeye-system kubeeye-leader-election-role CanDeleteResources ClusterRole kubeeye-manager-role CanDeleteResources ClusterRole kubeeye-manager-role CanModifyWorkloads ClusterRole vpnkit-controller CanImpersonateUser ClusterRole vpnkit-controller CanDeleteResources

How KubeEye can help you​

  • It inspects cluster resources according to Kubernetes best practices to ensure that clusters run stably.
  • It detects the control plane problems of the cluster, including kube-apiserver, kube-controller-manager, and etcd.
  • It detects node problems, including memory, CPU, disk pressure, and unexpected kernel error logs.

Checklist​

Yes/NoCheck ItemDescriptionSeverity
White check markPrivilegeEscalationAllowedPrivilege escalation is allowed.danger
White check markCanImpersonateUserThe Role/ClusterRole can impersonate users.warning
White check markCanModifyResourcesThe Role/ClusterRole can delete Kubernetes resources.warning
White check markCanModifyWorkloadsThe Role/ClusterRole can modify Kubernetes resources.warning
White check markNoCPULimitsNo CPU limits are set.danger
White check markNoCPURequestsNo CPU resources are reserved.danger
White check markHighRiskCapabilitiesHigh-risk features, such as ALL, SYS_ADMIN, and NET_ADMIN, are enabled.danger
White check markHostIPCAllowedHostIPC is set to true.danger
White check markHostNetworkAllowedHostNetwork is set to true.danger
White check markHostPIDAllowedHostPID is set to true.danger
White check markHostPortAllowedHostPort is set to true.danger
White check markImagePullPolicyNotAlwaysThe image pull policy is not set to always.warning
White check markImageTagIsLatestThe image tag is latest.warning
White check markImageTagMissThe image tag is missing.danger
White check markInsecureCapabilitiesInsecure options are missing, such as KILL, SYS_CHROOT, and CHOWN.danger
White check markNoLivenessProbeLiveless probe is not set.warning
White check markNoMemoryLimitsNo memory limits are set.danger
White check markNoMemoryRequestsNo memory resources are reserved.danger
White check markNoPriorityClassNameResource scheduling priority is not set.ignore
White check markPrivilegedAllowedPods are running in the privileged mode.danger
White check markNoReadinessProbeReadiness probe is not set.warning
White check markNotReadOnlyRootFilesystemreadOnlyRootFilesystem is not set to true.warning
White check markNotRunAsNonRootrunAsNonRoot is not set to true.warning
White check markCertificateExpiredPeriodThe certificate expiry date of the API Server is less than 30 days.danger
White check markEventAuditEvents need to be audited.warning
White check markNodeStatusNode status needs to be checked.warning
White check markDockerStatusDocker status needs to be checked.warning
White check markKubeletStatuskubelet status needs to be checked.warning

Add your own inspection rules​

Add custom OPA rules​

  1. Create a directory for storing OPA rules.
mkdir opa

  1. Add custom OPA rule files.
  • OPA rule for checking workloads: The package name must be kubeeye_workloads_rego.
  • OPA rule for checking RBAC settings: The package name must be kubeeye_RBAC_rego.
  • OPA rule for checking node settings: The package name must be kubeeye_nodes_rego.
  1. To check whether the image registry address complies with rules, save the following rules to imageRegistryRule.rego
package kubeeye_workloads_rego deny[msg] { resource := input type := resource.Object.kind resourcename := resource.Object.metadata.name resourcenamespace := resource.Object.metadata.namespace workloadsType := {“Deployment”,“ReplicaSet”,“DaemonSet”,“StatefulSet”,“Job”} workloadsType[type] not workloadsImageRegistryRule(resource) msg := { “Name”: sprintf(“%v”, [resourcename]), “Namespace”: sprintf(“%v”, [resourcenamespace]), “Type”: sprintf(“%v”, [type]), “Message”: “ImageRegistryNotmyregistry” } } workloadsImageRegistryRule(resource) { regex.match(“^myregistry.public.kubesphere/basic/.+”, resource.Object.spec.template.spec.containers[_].image) }

  1. Run KubeEye with custom rules.
Note: Kubeeye will read all files ending with .rego in the directory.
root:# kubeeye audit -p ./opa NAMESPACE NAME KIND MESSAGE default nginx1 Deployment [ImageRegistryNotmyregistry NotReadOnlyRootFilesystem NotRunAsNonRoot] default nginx11 Deployment [ImageRegistryNotmyregistry PrivilegeEscalationAllowed HighRiskCapabilities HostIPCAllowed HostPortAllowed ImagePullPolicyNotAlways ImageTagIsLatest InsecureCapabilities NoPriorityClassName PrivilegedAllowed NotReadOnlyRootFilesystem NotRunAsNonRoot] default nginx111 Deployment [ImageRegistryNotmyregistry NoCPULimits NoCPURequests ImageTagMiss NoLivenessProbe NoMemoryLimits NoMemoryRequests NoPriorityClassName NotReadOnlyRootFilesystem NoReadinessProbe NotRunAsNonRoot]

Add custom NPD rules​

  1. Run the following command to change the ConfigMap:
kubectl edit ConfigMap node-problem-detector-config -n kube-system

  1. Run the following command to restart NPD:
kubectl rollout restart DaemonSet node-problem-detector -n kube-system

KubeEye Operator​

What is KubeEye Operator​

KubeEye Operator is an inspection platform for Kubernetes. It manages KubeEye to regularly inspect clusters and generate inspection results.

How KubeEye Operator can help you​

  • It records inspection results by using CR and provide a web page for you to intuitively view and compare cluster inspection results.
  • It provides more plugins.
  • It provides more detailed modification suggestions.

Deploy KubeEye Operator​

kubectl apply -f
kubectl apply -f

Obtain the inspection results​

kubectl get clusterinsight -o yaml

apiVersion: v1
items:
- apiVersion: kubeeye.kubesphere.io/v1alpha1
kind: ClusterInsight
metadata:
name: clusterinsight-sample
namespace: default
spec:
auditPeriod: 24h
status:
auditResults:
auditResults:
- resourcesType: Node
resultInfos:
- namespace: ""
resourceInfos:
- items:
- level: warning
message: KubeletHasNoSufficientMemory
reason: kubelet has no sufficient memory available
- level: warning
message: KubeletHasNoSufficientPID
reason: kubelet has no sufficient PID available
- level: warning
message: KubeletHasDiskPressure
reason: kubelet has disk pressure
name: kubeeyeNode

GitHub:​

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Kubeeye

KubeEye aims to find various problems on Kubernetes, such as application misconfiguration, unhealthy cluster components and node problems. - GitHub - kubesphere/kubeeye: KubeEye aims to find variou...