From Outage to Root Cause: Automate and Accelerate MTTR

• Downtime Still Costs Too Much, Takes Too Long

A study by Ponemon Institute reports that the average cost of IT downtime is $5,600 per minute — and that Mean Time to Resolution (MTTR) for major incidents can still exceed 4 hours in many enterprise environments. When every minute counts, traditional, manual root cause analysis is simply too slow.

• Mapping Dependencies, Not Just Symptoms

When a service fails, the first alert is rarely the source of the problem. Yet most NetOps teams still work from symptoms backward. AI changes this by automatically mapping dependencies between components — from cloud workloads to access switches — and correlating signals across the stack. This reduces the need for human guesswork and accelerates incident resolution.

• Intelligent RCA in Action

In one case, a regional healthcare provider experienced periodic outages in their patient records system. AI-assisted root cause analysis revealed that traffic spikes were repeatedly triggering misbehaviors in a misconfigured load balancer rule. Once fixed, MTTR dropped by over 65%, and similar issues were automatically mitigated in the future. That's the value of turning RCA from a manual effort into a guided, automated process.

Still spending hours tracing one symptom at a time?

Observeasy gives you AI-assisted root cause analysis and automated dependency mapping — so you can move from incident to resolution, fast.

📌 Reduce MTTR, eliminate guesswork, and stay ahead of the next outage.

👉 Book a demo and start fixing faster with intelligent RCA.