Analyzes LVMS must-gather data to diagnose and remediate storage issues in OpenShift and Kubernetes environments.
The LVMS Storage Analyzer skill simplifies the complex process of troubleshooting Logical Volume Manager Storage (LVMS) by parsing and correlating must-gather data. It automatically detects namespace versions, evaluates LVMCluster health, inspects Volume Group status, and analyzes pod logs to pinpoint root causes like device conflicts, filesystem signatures, or capacity constraints. This tool is essential for SREs and developers who need to quickly resolve pending PVCs or degraded storage clusters without manually searching through thousands of lines of logs and YAML manifests.
Características Principales
01Structured remediation plans including recovery commands and prioritized next steps
02Root cause correlation between hardware device conflicts and PVC failures
03Automated health assessment of LVMCluster and Volume Group resources
0429 GitHub stars
05Deduplicated pod log analysis for rapid troubleshooting of vg-manager and operator errors
06Intelligent namespace detection for legacy and modern LVMS versions
Casos de Uso
01Diagnosing PersistentVolumeClaims (PVCs) stuck in Pending or ProvisioningFailed states
02Troubleshooting degraded LVMClusters and failed volume group creations on specific nodes
03Performing offline post-mortem analysis of LVMS must-gather diagnostic reports
