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Post-deploy monitoring of live production apps detects console errors, performance regressions, and page failures. It operates with periodic screenshots and baseline comparisons to identify regressions across deployed versions and raises alerts on anomalies.

Baseline-driven post-deploy monitoring compares periodic screenshots of live production against a pre-deploy baseline to identify visual or performance regressions. It surfaces anomalies and raises alerts to triage deployment issues.

Yes, post-deploy monitoring requires an established pre-deploy baseline to compare against. You also need access to the browse daemon and integration with the gstack workflow to trigger alerts on detected regressions.

Alerting for console errors and page failures requires integrating post-deploy monitoring with the gstack workflow. The monitor captures periodic screenshots, compares them to a baseline, and triggers alerts when anomalies are detected.

Yes, detecting performance regressions across deployed versions is done using periodic screenshots compared against an established pre-deploy baseline. This baseline-driven approach surfaces visual and performance anomalies in live production.

Baseline comparisons for production monitoring are unsuitable without an established pre-deploy baseline or browse daemon access. The mechanism depends on periodic screenshots, making it ineffective for dynamically changing content without a stable reference.