The use case: how Skimmer deploys Sentry
Skimmer, a pool service management platform, uses Sentry across its React web app, .NET microservices and .NET MAUI mobile app to trace errors across queues and workers back to the originating user action. Engineers also use Session Replay and Logs linked to issues to investigate customer problems and mobile release regressions.
More reported results
Figures published in Sentry’s case study. They are not independently measured by usedby.
Mobile fixes out 60% faster: from 6-7 days to 2-3 days
10× faster resolution of customer tickets Session Replay cuts customer support back-and-forth from days to minutes.
95% faster mobile issue detection
In the customer’s words
Sentry cuts our resolution of a customer issue down from days to minutes.Other companies using Sentry
Customers across industries, with public evidence.
AdRollConfirmed
Animation Digital NetworkConfirmed
AnthropicConfirmed
App NouveauConfirmed
ArcadeConfirmed
AtlassianConfirmedGo 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: 90%Checked
Printed word for word on the page, near the name of Skimmer.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Skimmer.
- Skimmer uses SentryChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Now those tickets arrive with a Session Replay on the issue. The team opens the replay and watches exactly what the user did at the time of the error—no chasing, no guessing.