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Case Study: How Rootly cut MTTR 50% with Sentry

Rootly Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Rootly
Industry
Developer Tools
Challenge
Needed fast, full-stack detection for frequent deploys
Headline result
Rootly reported a 50% reduction in MTTR and $100,000+ in avoided ARR impact with Sentry

Key results

50%
Reduction in MTTR
for errors detected via Sentry
$100,000+
Avoided ARR impact
through early error detection
10-20
Deployments per day

The challenge

Rootly, an incident-response and reliability platform, needed rapid error detection across a globally dispersed engineering team deploying frequently to multiple cloud environments. It required full-stack visibility from its Ruby on Rails backend to web and mobile frontends to catch issues before user impact.

The solution

Rootly integrated Sentry from day one, adding tag-based categorization of business-critical versus informational issues, connecting alerts to its on-call platform, and enriching them with affected customer segments and deployment version data.

We deploy 10-20 times a day—only possible with Sentry pinpointing issues down to the commit and broken line of code.

DS
Dan Sadler
VP of Engineering, Rootly

The results, in context

Rootly reported a 50% reduction in MTTR for errors detected via Sentry and more than $100,000 in avoided ARR impact through early detection, while deploying 10-20 times per day. The figures are quoted from Sentry's published customer story and dated to when sourced, July 24, 2026.

Products used

Sentry Error MonitoringSentry Alerts