"Now I actually trust the alerts in my inbox. Everything noisy gets handled before it even reaches me."
— Head of DevOps
A high-growth e-commerce marketplace experiencing rapid expansion, with a DevOps team responsible for maintaining critical infrastructure services. As the platform scaled, alert volume scaled with it and the team couldn't keep up.
01The Challenge
As the platform grew, the DevOps team faced a wave of alert fatigue that made on-call unsustainable.
Repetitive warnings from VMs, Elasticsearch, and PostgreSQL
Key infrastructure components were generating frequent alerts requiring manual intervention, consuming hours of engineering time every week.
40% of on-call time wasted on non-critical alerts
Engineers were spending nearly half their on-call rotation addressing alerts that didn't require immediate attention, eroding trust and focus.
Engineers overwhelmed, rotations stretched thin
The high volume of alerts was leading to alert fatigue and burnout. On-call had become a burden rather than a shared responsibility.
02The Implementation
They rolled out DrDroid across their monitoring and infrastructure stack. Plug-and-play, no manual scripting, just results.
Integrated with AWS, databases, Elasticsearch, PostgreSQL, and Slack
Connected DrDroid with their entire infrastructure and communication stack, giving it full context to make intelligent decisions.
Deployed automated playbooks for top recurring incidents
Created automated playbooks to handle common alert scenarios without human intervention, starting with their highest-volume alert classes.
Full coverage across key services within 5 weeks
Deployed DrDroid across their entire infrastructure within 5 weeks, achieving comprehensive coverage faster than anticipated.
03 The Results
MTTA down from 15 minutes to under 60 seconds
Mean Time To Acknowledge alerts was reduced by 96%, giving engineers back their time and reducing the blast radius of every incident.
Escalations cut by 70%
The number of incidents requiring escalation to senior engineers dropped by 70%. Juniors now have the context to handle alerts they couldn't before.
False positives reduced by 85%
DrDroid's intelligent alert filtering dramatically reduced false positives, restoring trust in the alert system and making on-call sustainable again.
"Now I actually trust the alerts in my inbox. Everything noisy gets handled before it even reaches me. DrDroid has been a game-changer for our on-call experience. Our engineers are no longer overwhelmed with alert noise, and we can automatically resolve most common issues."
