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How Grofers uses Sentry

ConfirmedVendor case study · Checked Nov 13, 2026
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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.

4 to 8 hours

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.
Vaidik Kapoor, VP of Engineering, Grofers — Source

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More stories

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 13, 2026
sentry.ioCaptured Sentry case study about GrofersOpen 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.”
From the page. sentry.io