canary

Post-deploy canary monitoring identifies production issues by watching live pages for console errors, performance regressions, and page failures using a browse daemon. You apply it after deployment to a set of URLs with optional baseline captures and staged checks over a defined duration.

Canary monitoring is a post-deploy technique that captures a baseline reference of production health before or after deployment. It then performs continuous health checks across pages, comparing live metrics against this baseline to quickly detect console errors and performance regressions.

You can set up automated alerts for page failures by applying canary monitoring to a set of URLs with defined alerting rules. The implementation runs deterministically using shell commands and environment handling to execute staged checks over a specified duration.

Yes, you can run canary monitoring across multiple URLs without external dependencies. The implementation requires only shell commands, environment handling, and a browse daemon to execute baseline comparisons and alerting rules deterministically.

The best way to detect performance regressions is post-deploy canary monitoring, which uses a browse daemon to watch live production pages. By capturing a baseline before or after deploy, it continuously compares live performance metrics and triggers automated alerts for regressions.

You should not use a browse daemon for post-deploy canary checks if your environment cannot support deterministic shell command execution or environment handling. The monitoring relies on these prerequisites to run baseline comparisons and alerting rules over a defined duration.