canary

You can monitor your app for performance regressions after deployment by running an automated canary check against your live URL to capture baseline metrics, measure load times, and trigger alerts on detected anomalies.

Post-deploy canary monitoring is the process of watching a live app for console errors, page failures, and performance regressions. You need it immediately after deployments to catch production issues before they affect users.

Yes, you can capture a performance baseline for your live app pages and compare subsequent measurements against it. The monitoring daemon takes periodic screenshots and measures load times to detect regressions.

To check for console errors across multiple pages after releasing, run an automated post-deploy monitoring session against your app URL. The daemon supports per-page monitoring to capture screenshots and detect console errors.

Post-deploy monitoring uses the browse daemon to capture screenshots and measure load times. No additional dependencies are required to run the canary health check against your live application URL.

The best way to automate reliability checks for a live app URL is to run an automated canary health check that continuously monitors for console errors, page failures, and performance regressions over a defined duration.