How a High-Growth Marketplace Automated On-Call and Slashed MTTA by 96%

As their platform scaled, the DevOps team at a high-growth marketplace faced a wave of alert fatigue:

• Repetitive warnings from VMs, Elasticsearch, and PostgreSQL - Key infrastructure components were generating frequent alerts requiring manual intervention.
• 40% of on-call time wasted on non-critical alerts - Engineers were spending significant time addressing alerts that didn't require immediate attention.
• Engineers overwhelmed, on-call rotations stretched thin - The high volume of alerts was leading to alert fatigue and burnout among the engineering team.

They needed a way to reduce noise, regain focus, and make on-call survivable again.

They rolled out Doctor Droid across their monitoring and infrastructure stack:

• Integrated with AWS, databases, Elasticsearch, PostgreSQL, and Slack - Connected Doctor Droid with their entire infrastructure and communication stack.
• Deployed automated playbooks for top recurring incidents - Created automated playbooks to handle common alert scenarios without human intervention.
• Achieved full coverage across key services within 5 weeks - Deployed Doctor Droid across their entire infrastructure within 5 weeks.

The process was plug-and-play. No manual scripting. Just results.

• MTTA down from 15 minutes to <60 seconds - Mean Time To Acknowledge alerts was dramatically reduced by 96%, giving engineers back their time.
• Escalations cut by 70% - The number of incidents requiring escalation to senior engineers was reduced by 70%, giving engineers back their focus.
• False positives reduced by 85% - Doctor Droid's intelligent alert filtering dramatically reduced the number of false positive alerts, restoring trust in the alert system.