The use case: how monday.com deploys Sentry
monday.com uses Sentry for error monitoring across its frontend and backend services, including release tracking, custom grouping, issue ownership assignment, and metric and spike alerts. Engineers enrich errors with breadcrumbs, tags, and custom events to investigate and resolve issues faster.
More reported results
Figures published in Sentry’s case study. They are not independently measured by usedby.
reduce client-side errors by more than 60%
We reduced false alerts by more than 50%
Think about our 150+ developers and multiply that by the number of issues we see across our services and clients
In the customer’s words
Sentry supports all the platforms in our stack and allows easy correlation between them. They excel at all aspects of error tracking, and moreover, provide our teams the ability to customize everything tofullstack fit our changing needs, which is exactly what we were looking for.Other AI tools used by monday.com
Other public relationships recorded on usedby.
Explore monday.com’s AI stack
Sentry users in HR & Recruiting
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Go straight to the source
Based on Sentry’s published case study. We check the public evidence; the results are reported by the vendor.
sentry.io- Last checked
- Nov 14, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 10 minutesChecked
Printed word for word on the page, near the name of monday.com.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of monday.com.
- monday.com uses SentryChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Using the breadcrumbs, tags, and integration between releases we’ve improved time to resolution from 30-45 minutes to 10 minutes.