Monitor production deployments for console errors, performance regressions, and page failures.
npx skills add https://github.com/imonmi/INTER-EDU --skill canary-imonmi
Please help me install this Agent Skill. Skill: canary Source: https://github.com/imonmi/INTER-EDU/tree/main/gstack-main/gstack-main/canary Command: npx skills add https://github.com/imonmi/INTER-EDU --skill canary-imonmi
Post-deploy monitors detect production-time issues such as console errors, performance regressions, and page failures by watching the live app with a browse daemon. It also takes periodic screenshots, compares them against pre-deploy baselines, and alerts on anomalies, enabling quick remediation after deploy.
Run the canary monitor against your production URL to begin a 10-minute health check after deployment.
High-intent search queries and answers about installing and using this skill.
Post-deploy monitoring uses a browse daemon to watch your live production app, capturing pre-deploy baselines and comparing them against live screenshots to detect console errors, performance regressions, and page failures after deployment.
Run a canary monitor against your production URL to begin a 10-minute health check, which takes periodic screenshots and alerts on anomalies compared against pre-deploy baselines for quick remediation.
Baseline capture records pre-deploy screenshots and performance metrics, then continuous monitoring compares live production pages against these baselines to surface regressions and trigger alerts based on configurable thresholds.
Yes, post-deploy monitoring supports flexible page selection, configurable duration, and customizable alert thresholds to fit any release workflow and monitor specific production pages.
Yes, the browse daemon is required to continuously watch the live production app, discover pages, take periodic screenshots, and compare them against baselines to detect anomalies.
Screenshot comparison monitoring focuses on visual regressions, console errors, and performance changes in production, relying on a browse daemon and pre-deploy baselines, so dynamic content may require careful threshold configuration to avoid false alerts.
ectoReview React/TypeScript console code for WebSocket protocol and performance issues.
florianhornerMonitor live web apps for console errors and page failures after deployment.
TumeloRamaphosaMonitors live applications after deployment for console errors, performance regressions, and page failures.
chriswesttMonitor deployed apps for console errors, performance regressions, and page failures.
