canary

Post-deploy monitoring checks production health by watching live apps for console errors, performance regressions, and page failures using the browse daemon. It captures optional baselines and screenshots to detect anomalies.

Visual canary monitoring is a post-deploy verification technique that captures screenshots and performance data across pages and routes to establish baselines. It alerts you when live production traffic shows visual or performance anomalies.

Yes, post-deploy health checks monitor production across pages and routes to detect performance regressions. The browse daemon captures baseline performance data and screenshots to identify anomalies after deployment.

To start a health check, invoke the canary command with your target URL. This initiates a 10-minute monitoring session that captures baselines and screenshots to verify production health.

Yes, canary monitoring requires Bash tooling and read/write capabilities to run post-deploy verification. It integrates with an AskUserQuestion workflow to handle alerting and remediation decisions.

Automated baselines for post-deploy anomaly detection are set up by capturing screenshots and performance data during a health check. The browse daemon compares live production states against these baselines to trigger alerts.