What problem does it solve?
Operating Kubernetes clusters at scale makes it hard to detect misconfigured workloads, unhealthy nodes, and security risks before they cause incidents. This Skill automates the deployment of KubeEye on KubeSphere and the creation of inspection rules, plans, and reports so cluster issues surface proactively.
Core Features & Use Cases
- Extension Deployment: Install or upgrade the KubeEye extension on KubeSphere via generated InstallPlan manifests with status polling.
- Inspection Rule Authoring: Create InspectRule resources covering OPA/Rego policies, PromQL queries, file change checks, sysctl, systemd, node info, file filters, service connectivity, and custom commands.
- Scheduled Inspections & Reports: Configure cron or one-shot InspectPlans, track InspectTasks, and retrieve InspectResults as YAML, HTML, or XLSX reports.
- Use Case: A platform engineer wants a weekly security audit of all Deployments. They import the bundled OPA rules, generate an InspectPlan, and download an XLSX report listing privileged containers, missing resource limits, and hostPath volumes.
Quick Start
Ask the AI to install the KubeEye extension on your KubeSphere cluster, apply the bundled inspection rules, and run a one-shot inspection to produce a report.