AIOps  ·  SaaS Platform  ·  Case Study

How We Reduced 800 Daily Alerts to 35 - and Cut MTTR from 4 Hours to 22 Minutes

Your on-call team is drowning in noise. Real incidents get missed. Engineers burn out. We've solved this - and the results speak for themselves.

96%
Alert Noise Reduction
22 min
MTTR (was 4.2 hrs)
800→35
Daily Alerts
0
On-call Burnout Incidents

A Team Drowning in Alert Noise

A fast-growing B2B SaaS platform was generating 800+ alerts per day - the vast majority false positives or low-priority noise. On-call engineers couldn't distinguish real incidents from noise. Critical failures were getting buried. MTTR had crept to 4.2 hours. Team morale was at an all-time low, and key senior engineers were threatening to leave.

The monitoring stack wasn't wrong - it was generating signal. But there was no intelligence layer to correlate, group, or prioritise that signal. Every alert was treated equally, so nothing was treated urgently.

Intelligent Noise Suppression - Without Ripping Out Your Stack

We deployed a layered AIOps solution that sat on top of the existing monitoring infrastructure, bringing machine learning-powered correlation and root cause analysis without disrupting what was already working.

Moogsoft Datadog PagerDuty Prometheus Grafana

Numbers That Changed Everything

96%
Alert Volume Reduction
From 800 alerts/day down to 35 - every remaining alert is real and actionable
91%
MTTR Improvement
4.2 hours to 22 minutes - incidents resolved before customers notice
$340K
Annual Engineer Time Savings
Estimated savings from reduced on-call overhead and faster incident resolution
0
Burnout Incidents (6 months)
Engineers now respond to real incidents - not noise. Morale restored. Retention secured.

Trusted. Certified. Proven.

Our engineers hold industry-recognised certifications and Crecita is a verified partner of the world's leading cloud platforms.

Microsoft AI Cloud Partner Program
Partner ID: 7099667
AWS Partner Network
Member

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