skills.rest
speediedan
speediedanCOMMUNITY
Explore all skills by this author →
GitHub

az-pipelines-debug

Diagnose and resolve Azure GPU pipeline failures using bash, az CLI, and Python.

1|Updated Sep 30, 2023
Search Tags:#ci/cd#debugging#troubleshooting#gpu#azure pipelines#memory issues
One-click install
npx skills add https://github.com/speediedan/interpretune --skill az-pipelines-debug
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: az-pipelines-debug
Source: https://github.com/speediedan/interpretune/tree/main/.github/skills/az-pipelines-debug
Command: npx skills add https://github.com/speediedan/interpretune --skill az-pipelines-debug

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps diagnose and resolve issues with the interpretune self-hosted Azure GPU pipeline, ensuring smooth and efficient CI/CD for GPU-intensive tasks.

Core Features & Use Cases

  • Pipeline Debugging: Troubleshoot builds that are stuck, failing, or experiencing memory issues.
  • Approval Management: Approve pending pipeline runs directly from the command line.
  • Resource Monitoring: Track agent activity, worker logs, and resource utilization (memory, swap).
  • Failure Triage: Differentiate between queueing, infrastructure, and test-specific memory failures.
  • Local Reproduction: Facilitate recreating remote failures in a local environment for faster iteration.

Quick Start

Use the az-pipelines-debug skill to check the status of build ID 12345.

Frequently Asked Questions about az-pipelines-debug

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

FAQPage Schema
How do I debug Azure Pipelines builds that are stuck or failing on self-hosted GPU agents?▼

Debug self-hosted Azure Pipelines GPU build failures by triaging agent queues, inspecting worker dispatch logs, and isolating phase-split test failures to resolve stuck or failing runs.

Why does my Azure DevOps pipeline experience PAT-backed approval delays?▼

PAT-backed approval delays in Azure DevOps pipelines occur when authentication token propagation stalls; diagnosing the queue triage and approval routing resolves the pending execution state.

How can I narrow memory-aware test fixtures to resolve Azure GPU pipeline out-of-memory issues?▼

Narrow memory-aware test fixtures by monitoring agent resource utilization and swap activity, isolating phase-split test memory spikes to prevent GPU pipeline out-of-memory failures.

What's the best way to reproduce Azure GPU pipeline failures locally?▼

Reproduce Azure GPU pipeline failures locally by extracting worker logs and resource metrics, recreating the failing phase-split test environment for faster iteration and debugging.

Do I need Azure DevOps credentials and az CLI to troubleshoot self-hosted GPU pipeline issues?▼

Troubleshooting self-hosted Azure GPU pipeline issues requires bash, az CLI, curl, Python 3.10+, and configured Azure DevOps credentials to access queue data and worker logs.

Related Skills

Explore More Software Engineering Skills→
ncksolncksol
1

azure-devops-cli

Automate Azure DevOps resource management via the Azure CLI.

Community
Advanced
LzhtommyLzhtommy
1

harness-executor

Execute validated development tasks through an eight-stage harness loop.

Community
Advanced
pauldotyupauldotyu

aks-monitoring

Enable and query AKS monitoring with Container Insights, Prometheus, and Grafana.

Community
Intermediate
productiveioproductiveio

tb-sem

Analyze Semaphore CI pipeline failures to identify root causes and flaky tests.

Official
Advanced