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

"Now I actually trust the alerts in my inbox. Everything noisy gets handled before it even reaches me."

## Company Overview

A high-growth e-commerce marketplace experiencing rapid expansion, with a DevOps team responsible for maintaining critical infrastructure services.

### Industry

E-commerce

### Company Size

500+ employees

### Team

DevOps

### Implementation Time

5 weeks

## Key Results

- **96%** MTTA reduction (15 min to <60 sec)
- **70%** Reduction in escalations
- **85%** Fewer false positive alerts

## The Challenge

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.

## The Implementation

They rolled out DrDroid across their monitoring and infrastructure stack:

### Integrated with AWS, databases, Elasticsearch, PostgreSQL, and Slack

Connected DrDroid 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 DrDroid across their entire infrastructure within 5 weeks. The process was plug-and-play. No manual scripting. Just results.

### Tools in Play

- Elasticsearch
- PostgreSQL
- Slack
- AWS
- Shell
- Monitoring Stack

## The Results

- **96%** MTTA reduction (15 min to <60 sec)
- **70%** Reduction in escalations
- **85%** Fewer false positive alerts

### 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%

DrDroid's intelligent alert filtering dramatically reduced the number of false positive alerts, restoring trust in the alert system.

> "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."
> 
> **Head of DevOps**  
> High-Growth Marketplace