What specific components does the analyzer check?

The tool checks LVMCluster status, Volume Group creation, PVC/PV health, operator pod status, and specific error patterns within the logs of the vg-manager and TopoLVM CSI driver.

What is an LVMS must-gather?

A must-gather is a diagnostic data collection in OpenShift containing logs, resource states, and configuration files used to troubleshoot Logical Volume Manager Storage (LVMS) issues.

How do I invoke the LVMS analysis?

You can invoke the skill using the /lvms:analyze command within Claude Code after providing the path to an extracted must-gather directory.

Can I target specific parts of the storage stack?

Yes, the analyzer supports component-specific flags to focus exclusively on storage/PVCs, operator health, volume groups, or pod logs.

Does this skill support older versions of LVMS?

Yes, it is designed for backward compatibility and automatically detects whether LVMS is installed in the openshift-storage or openshift-lvm-storage namespace.

LVMS Storage Analyzer

Name: LVMS Storage Analyzer
Author: openshift-eng

byopenshift-eng

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分析与监控

Analyzes LVMS must-gather data to diagnose and remediate storage issues in OpenShift and Kubernetes environments.

关于

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.

主要功能

Structured remediation plans including recovery commands and prioritized next steps
Root cause correlation between hardware device conflicts and PVC failures
Automated health assessment of LVMCluster and Volume Group resources
29 GitHub stars
Deduplicated pod log analysis for rapid troubleshooting of vg-manager and operator errors
Intelligent namespace detection for legacy and modern LVMS versions

使用场景

Diagnosing PersistentVolumeClaims (PVCs) stuck in Pending or ProvisioningFailed states
Troubleshooting degraded LVMClusters and failed volume group creations on specific nodes
Performing offline post-mortem analysis of LVMS must-gather diagnostic reports

关于

主要功能

Structured remediation plans including recovery commands and prioritized next steps
Root cause correlation between hardware device conflicts and PVC failures
Automated health assessment of LVMCluster and Volume Group resources
29 GitHub stars
Deduplicated pod log analysis for rapid troubleshooting of vg-manager and operator errors
Intelligent namespace detection for legacy and modern LVMS versions

使用场景

Diagnosing PersistentVolumeClaims (PVCs) stuck in Pending or ProvisioningFailed states
Troubleshooting degraded LVMClusters and failed volume group creations on specific nodes
Performing offline post-mortem analysis of LVMS must-gather diagnostic reports