canary

You can catch production regressions by running a short-term canary check that monitors your live web application for new console errors, page failures, and performance regressions. It captures screenshots and compares load timings against pre-deploy baselines to alert you within minutes.

Post-deploy canary monitoring is the process of observing a live site after a release to verify stability. It works by using a browse daemon to capture periodic screenshots, count console errors, and measure load times across specified pages, comparing the results to pre-deploy snapshots.

You can set up a 10-minute canary check by running a single command targeting your production URL. The monitor will observe specified pages like your homepage and dashboard, enforcing alert rules across consecutive checks to flag new console errors or 2x performance regressions.

Yes, you can compare current production checks against pre-deploy baselines. The monitoring process only triggers alerts when it detects new or persistent deviations from your baseline, ensuring you are notified exclusively about regressions introduced by the recent deployment.

Yes, post-deploy monitoring captures screenshots and console error counts to aid in triage. It categorizes issues into severity tiers and saves structured reports with visual evidence to a local directory, allowing you to review failures and audit the deployment verification process.

A limitation of short-term canary checks is the monitoring window constraint of one to thirty minutes, which is designed for immediate post-deploy verification. It may not detect slow-burning regressions or issues that only appear under specific long-term traffic conditions outside the active monitoring period.