The use case: how Forethought deploys Sentry
Forethought's engineering team uses Sentry to monitor errors, performance and release health across its services. By integrating GitHub CODEOWNERS with Sentry, errors are automatically triaged and routed to the responsible team, with alerts sent to team Slack channels, dashboards for tracking issues, and the API used to connect internal tools.
More reported results
Figures published in Sentry’s case study. They are not independently measured by usedby.
Improved search latency by 20-30%
Confidence in release health while deploying on average 2.5 times a day
Forethought’s engineering team processes 52 million requests per day and maintains common services between other internal teams, infrastructure, data, and tools.
In the customer’s words
Code owners has become a single source of truth for us, there’s no more ‘no, it’s someone else’s job’.Other AI tools used by Forethought
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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: 94%Checked
Printed word for word on the page, near the name of Forethought.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Forethought.
- Forethought uses SentryChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Now that they can filter which team owns which particular error, combined with Sentry audits, time to resolution has decreased from months to just days and in some cases hours.