The use case: how Grofers deploys Sentry
Grofers' engineering team uses Sentry for error monitoring across its Python-based application. Engineers check Sentry first when error rates rise or SLOs are breached, to get context to reproduce and resolve issues without digging through logs.
More reported results
Figures published in Sentry’s case study. They are not independently measured by usedby.
Before Grofers onboarded Sentry, the team burned from 4 to 8 hours per developer each week debugging technical issues.
In the customer’s words
Sentry is one of the main factors that helps us meet this demand and deliver quality service and supplies in such uncertain times.Other companies using Sentry
Customers across industries, with public evidence.
Animation Digital NetworkConfirmed
AnthropicConfirmed
ArcadeConfirmed
AtlassianConfirmed
BasetenConfirmed
BitnamiConfirmedGo 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 13, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 30%Checked
Printed word for word on the page, near the name of Grofers.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Grofers.
- Grofers uses SentryChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
After Grofers onboarded Sentry they improved developer productivity by 30% as developers gained more visibility around code exceptions. Vaidik explained that once Sentry was fully implemented, “The time to resolve errors went from days to minutes.”
