NetBrain Proof of Concept: Reducing MTTR Through Problem Diagnosis Automation

Spring 2022

In recent years, networks have grown exponentially more complex from edge to cloud. The adoption of multi-cloud architectures, SD-WAN, and other next-generation networking technologies have made the path to root-cause diagnosis more complicated. This leads to a huge volume of service tickets that consumes NetOps time and hinders the network innovation needed to stay competitive. Consequently, reducing the mean-time-to-repair (MTTR) of service tickets is becoming even more critical for business.

Even though 95% of network problems are repetitive, they continue to be diagnosed manually in an ad-hoc manner. Moreover, 50% of network problems are preventable, but organizations lack methods to enforce rules and assure best practices are followed. In this POC, NetBrain will demonstrate the new Problem Diagnosis Automation System (PDAS) and show how automating problem diagnosis and applying network intent across the hybrid network reduces MTTR and ensures network uptime, so that NetOps can think beyond “keeping the lights on” and spend more time on network innovation.


Experienced Engineer with a demonstrated history of working in the information technology, Software development, and services
industry. Skilled in Wide Area (WAN) Networks SD-WAN, Public Cloud(Azure/AWS), Wireless Technologies, Voice over IP (VolP), Switches, and Unified Communications. Strong sales engineering professional with a Bachelor of Computer Science and 8+ years of highly accomplished experience.

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