gstack-canary

Post-deploy canary monitoring detects production regressions by continuously watching the live app for console errors, performance drops, and broken pages right after a deploy. It uses a browse daemon for timed checks, capturing periodic screenshots to compare against pre-deploy baselines and alerting on deviations.

Screenshot diffing for deployment health verification takes periodic screenshots during the canary window and compares them against pre-deploy baselines. This mechanism spots UI and runtime anomalies by detecting visual deviations that indicate potential production regressions.

To verify deploy health, you initiate a canary monitoring workflow that watches the live app for console errors and page failures using a browse daemon. It performs timed checks and alerts you when anomalies or deviations from the baseline are detected.

Yes, the browse daemon is required to drive observation during the canary release window. It performs the timed checks and periodic screenshot captures necessary to detect console errors, performance regressions, and page failures against pre-deploy baselines.

The best way to detect production regressions across release windows is using post-deploy canary monitoring with screenshot baseline comparison. This approach continuously watches the live app for errors and alerts you to UI and runtime anomalies during the canary window.