The use case: how Baseten deploys Sentry
Baseten, an ML model hosting platform, uses Sentry for error monitoring across its Python web application and a new Golang authentication service. It passes extra context with events and sends alerts to Slack so on-call engineers can triage issues.
In the customer’s words
Sentry is a key part of operating our new service — the additional context we pass to Sentry on each call has helped us solve pretty tricky bugs, saving countless engineering hours.Other AI tools used by Baseten
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- Nov 12, 2026
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After hearing about Sentry’s robust error monitoring capabilities, Baseten decided to test it out. Immediately, they saw an increase in the error details they could access. Previously, the Baseten team required days to track down any non-reported issues.