The use case: how Coveo deploys Sentry
Coveo moved from self-hosted, per-team Sentry tenants to Sentry SaaS to centralize error tracking across its engineering teams. Engineers use real-time error alerts and the GitHub and Slack integrations to find and fix bugs in production faster.
More reported results
Figures published in Sentry’s case study. They are not independently measured by usedby.
Migrating 250 projects and 230 engineers to Sentry SaaS took less than two months - faster than expected.
Consolidate observability across 100 teams in Java, Python, JavaScript, Node, and more into one platform, eliminating the inefficiencies and blind spots created by separate tenants for each environment.
In the customer’s words
A major win for us was the integration with Slack and GitHub. I wrote one bad line of code and it made it to production, Sentry immediately flagged it. It sent me a Slack notification and a GitHub alert, pointing straight to the exact line of code where I messed up. Shaving hours off the debugging process.Other AI tools used by Coveo
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Based on Sentry’s published case study. We check the public evidence; the results are reported by the vendor.
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- Nov 12, 2026
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- Coveo uses SentryChecked
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Since implementing Sentry SaaS, Coveo has transformed its development workflow. Their ability to detect, prioritize, and resolve issues before they impact customers has dramatically improved: