volcano-diagnose-pod

Diagnose Volcano-managed Pod scheduling failures via kubectl cluster state queries.

225|28|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/scitix/siclaw --skill volcano-diagnose-pod
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: volcano-diagnose-pod
Source: https://github.com/scitix/siclaw/tree/main/skills/core/volcano-diagnose-pod
Command: npx skills add https://github.com/scitix/siclaw --skill volcano-diagnose-pod

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps SREs and DevOps engineers quickly identify why a Pod managed by the Volcano scheduler is not being scheduled, saving valuable debugging time.

Core Features & Use Cases

  • Comprehensive Checks: Analyzes Pod status, PodGroup, events, and Queue configurations.
  • Root Cause Identification: Pinpoints common scheduling failures like resource shortages, gang scheduling constraints, or queue quota issues.
  • Use Case: A critical batch job Pod is stuck in Pending state. This Skill can be used to rapidly diagnose if the issue is due to insufficient cluster resources, a misconfigured PodGroup, or a full queue, providing actionable insights.

Quick Start

Use the volcano-diagnose-pod skill to diagnose a pending pod named 'my-job-0' in the default namespace.

Frequently Asked Questions about volcano-diagnose-pod

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
Why is my Volcano Pod stuck in Pending state and how do I diagnose the scheduling failure?

Volcano Pods get stuck in Pending state due to resource contention, gang scheduling constraints, or queue quota limitations. You can diagnose the scheduling failure by examining the Pod status, PodGroup, event logs, and Queue configurations to pinpoint the exact root cause.

How do I check if a PodGroup misconfiguration is preventing my Volcano pod from scheduling?

To check if a PodGroup misconfiguration is preventing your Volcano pod from scheduling, examine the PodGroup specifications and event logs. Diagnosing the PodGroup helps identify if gang scheduling constraints or mismatched resource requests are blocking the pod from being scheduled.

How do I troubleshoot Volcano queue quota issues for pending batch jobs?

Troubleshoot Volcano queue quota issues by inspecting Queue configurations to ensure the pending batch job's resource requests do not exceed the allocated limits. Analyzing the Queue settings reveals whether strict quota limitations are preventing the scheduler from assigning resources to the PodGroup.

What are common Volcano gang scheduling constraints that cause pod scheduling failures?

Common Volcano gang scheduling constraints causing pod scheduling failures include insufficient cluster resources to satisfy the entire PodGroup at once or strict gang scheduling rules requiring all pods to schedule simultaneously. Examining PodGroup status and cluster state identifies these specific constraints.

Can I use kubectl to inspect Volcano scheduler events for pending pods?

Yes, you can use kubectl to inspect Volcano scheduler events for pending pods. Querying cluster state and event logs via kubectl allows you to analyze Pod status and PodGroup configurations, rapidly diagnosing whether resource shortages or queue issues are causing the scheduling failure.

What is the best way to identify resource contention affecting Volcano pod scheduling?

The best way to identify resource contention affecting Volcano pod scheduling is to run diagnostic scripts that query cluster state via kubectl. By examining Pod status, PodGroup conditions, and Queue configurations, you can pinpoint if insufficient resources are blocking your batch jobs.