CI/CD Website Monitoring: Catch Regressions After Every Deploy

Why passing tests still ship broken pages

A CI pipeline gives you confidence that code behaves correctly in a test environment. But production is different: real DNS, real certificates, a CDN, third-party scripts, environment variables, feature flags, and content that only exists in the live database. A build can pass every unit and integration test and still render a blank page, drop a script, or break a checkout once it is actually deployed.

The riskiest window is the few minutes right after a deploy. That is when a bad config, a failed migration, a broken asset path, or a missing environment variable turns a healthy build into a broken site — and if nobody is watching production at that moment, the regression rides along until a customer reports it.

Pre-deploy tests and post-deploy monitoring answer different questions. Tests ask 'is this code correct?'; monitoring asks 'does the live site actually work right now?'. You need both, and the second one is where many teams have a blind spot.

How to add monitoring to your CI/CD flow

The goal is to treat monitoring as the last stage of your release, not a separate system you check occasionally. Right after a deploy completes, the live site should be verified the way a real visitor experiences it, and any regression should page you immediately while the deploy is still fresh in mind.

NorthDuty runs rendered health checks continuously, so a deploy that blanks a page, throws a JavaScript error, or breaks a resource is caught within the next check cycle — as often as every minute on paid plans. Because each check renders the page rather than pinging it, it catches the 'green build, broken page' failures that tests in a staging environment miss.

For the flows that matter most, add user journeys — signup, login, checkout — in plain text, and NorthDuty runs them on a schedule to confirm the whole path still completes after a release. Deploy detection re-runs health checks and journeys as soon as a release goes live, so a deploy that hides a button or breaks a step is flagged automatically.

Route alerts to the same place your team already watches during a release — Slack or email — so a post-deploy regression surfaces in the channel where you are already coordinating the rollout, with the specific failure reason attached.

Conclusion

Tests validate your code; monitoring validates your live site. The minutes right after a deploy are when production-only problems appear, and that is exactly when you want eyes on the real site.

NorthDuty gives you that post-deploy safety net — rendered checks and journeys on production — so a regression is caught and flagged within minutes of shipping, not after a customer finds it.