Console errors monitoring

Console errors monitoring is an ongoing (monthly) service: a robot browser opens agreed pages on a schedule and records what lands in the console — JavaScript errors and exceptions, failed resources (broken scripts, styles, images), network request failures, third-party script and widget errors. We compare against a baseline and send an alert when new errors appear (e.g. after a release). Honestly about the essence: this is detection and alerting, NOT fixing — we show and prioritize errors, but editing the code is done by your team or by us separately. Honestly about the method and coverage: this is a synthetic check — the robot sees what happens on the page on its visit under set conditions, NOT errors for all real users on their devices, in their browsers and scenarios; to collect errors from a live audience you need error tracking (SDK) or RUM — separate services that are convenient to combine. So rare errors that occur only for some users or on special actions may not be caught by synthetics. Honestly about noise: the console of many sites is full of harmless warnings (deprecation, ads, analytics) — we configure filters and a baseline so alerts are on point, not on noise. The check needs access to the pages the robot must open: if they are behind authentication or on staging, a test account/access is required, otherwise they are not covered. Coverage is the agreed pages; someone must react to an alert: if no one reacts, the error simply stays — we show it but do not fix it. An important boundary: this is synthetic console monitoring, not error tracking from real users (separate), not APM and not bug fixing. If the site is simple and stable, continuous console checking may be overkill. Picture this: instead of 'after a release the payment page console flooded with errors and the button stopped working for some people' you get an alert on the deploy day. The base price starts from 6,000 ₽ per month; it depends on the number of pages and the check frequency.

• After a deploy errors appear in the console and you learn from complaints.
• Scripts/styles/images fail to load and some functionality breaks.
• Third-party widgets throw errors unnoticed.
• There is no baseline: which console errors are new and which were always there.

• Opening agreed pages with a robot browser on a schedule
• Recording JavaScript errors and exceptions
• Failed resources (broken scripts/styles/images) and network failures
• Third-party script and widget errors
• Comparison against a baseline and noise filters
• Alerts on new errors appearing (after releases)
• Monthly continuous operation
• An alert channel of your choice (email, messenger, webhook)

• You learn about new console errors on the deploy day
• You see which page and which error
• Less chance of a broken script quietly running for weeks
• You know what to fix (the fix — by you/team)

• We agree on pages, frequency, noise filters and the alert channel
• We capture a baseline and set up console checking by the robot
• We launch monitoring, fine-tune filters against real noise

• Will you fix the console errors?

  No. We detect, filter noise and notify about new errors, but editing the code is done by your team or by us separately. Monitoring gives visibility and priority, not the fix itself.

• Is this the same as error tracking from real users?

  No. This is a synthetic check: the robot sees errors on its own visit under set conditions, not for all real users on their devices. To collect errors from a live audience you need error tracking (SDK) or RUM — separate services, convenient to combine.

• Won't alerts drown in console noise?

  The console has many harmless warnings. So we capture a baseline and configure filters so alerts come on new and significant errors, not on constant noise.