Reduce Noise in
your Alerts Today

Alert Fatigue & channel muting can lead to delays in detecting critical issues. Leverage Doctor Droid to clean up your alerts in minutes.

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Trusted by engineering teams at

Get insights on noisy alerts,
fix them Instantly

Distribution of alerts

Alert Name	Week 1	Week 2	Week 3	Week 4	Current
[python-django] ProtoException	1244	1312	1280	1356	1402
[k8s] Pod CrashLoopBackOff	892	934	901	876	923
[datadog] High CPU Usage	456	512	478	501	534
[pagerduty] Service Degradation	334	298	312	345	367
[sentry] Unhandled Exception	223	245	234	256	278
[grafana] Memory Threshold	178	189	192	201	213

How it works

Install the Bot. Add DroidBot directly into your workspace.

Message #alerts-production

Aa☺@

Add the bot. Type @Doctor Droid in your #alerts channel

#prod-alerts

Receive alerts directly. Instantly receive message in the channel for assessment.

Loved by engineering
teams across startups

"This tool has proven instrumental in offering valuable insights into our alerts, aiding us in prioritizing important ones and minimizing unnecessary noise."

Onkar Kore

Senior Principal Engineer

"The analysis is empowering our engineering team to make informed decisions promptly. Overall, a great addition to our toolkit for improving efficiency and staying ahead of potential issues."

Rishabh Singh

Staff Software Engineer

"A very useful tool for deep dives into alerts."

Robin Philip

Director, Software Engineering

"With Alert Insight, we were able to reconfigure our production alerts and reduce alert spam caused by low severity alerts occurring at very high frequency."

Kaushtav Atri

SDE-III

"We generated our first Alerts Audit report using this tool last month and found it to be useful for reducing noise and setting up the right thresholds. Now we use it weekly to review our product health."

Shobhita Agarwal

Head of Engineering

"We've been actively utilizing Doctor Droid's Alerts and are particularly fond of the top 10 alerts, most frequent alerts, and the charts illustrating increased occurrences over time."