canary

Monitor live applications for console errors, performance regressions, and page failures.

Updated Apr 22, 2026

Search Tags:#monitoring #screenshots #observability #alerts #canary #baselines #post-deploy

Ready to run

npx skills add https://github.com/diiviikk5/rezops --skill canary-diiviikk5

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: canary
Source: https://github.com/diiviikk5/rezops/tree/main/canary
Command: npx skills add https://github.com/diiviikk5/rezops --skill canary-diiviikk5

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-deploy canary monitoring helps teams detect issues in the live app before users are impacted. It watches for console errors, performance regressions, and page failures, and it takes periodic screenshots to compare against pre-deploy baselines. Alerts are produced when anomalies are detected to guide rapid remediation.

Core Features & Use Cases

Monitor live app health by detecting console errors, slow performance, and page failures.
Capture periodic screenshots and compare them to pre-deploy baselines to surface visual regressions.
Alert on anomalies and guide triage for post-deploy incidents in production.

Quick Start

Run the canary check after deployment to baseline the live app and surface regressions.

Frequently Asked Questions about canary

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

FAQPage Schema

How do I monitor my live application for post-deploy issues?▼

Post-deploy monitoring tracks the live application for console errors, performance regressions, and page failures by capturing periodic screenshots and comparing them against pre-deploy baselines to surface anomalies.

What is canary post-deploy monitoring and how does it detect regressions?▼

Canary post-deploy monitoring is a technique that watches the live app for failures by capturing periodic screenshots and comparing them against pre-deploy baselines to detect visual and performance regressions.

How do I capture screenshots and compare them to pre-deploy baselines?▼

You can capture periodic screenshots of the live application and compare them against pre-deploy baselines to surface visual regressions and trigger alerts for rapid remediation.

Does post-deploy canary monitoring alert on console errors and page failures?▼

Yes, post-deploy canary monitoring detects console errors, slow performance, and page failures, producing alerts when anomalies are detected to guide triage for production incidents.

What's the best way to detect visual regressions in production after a deployment?▼

The best way to detect visual regressions is running a canary check after deployment to baseline the live app, capturing periodic screenshots and comparing them to surface anomalies.