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How to Predict & Remediate IT Incidents Before They Affect Business Outcomes

What would you do if you could predict the future? Get in early on Bitcoin? Place a sure bet on a Super Bowl longshot? Buy a winning lottery ticket? 


A proactive approach to IT Operations

Today, with AIOps, it's already possible to predict network outages and other major disruptions by proactively detecting the conditions leading up to them and automatically remediating them before disaster strikes. 

Given how costly service interruptions can be to Fortune 2000 companies and other enterprises, taking a proactive approach to prevent issues, rather than scrambling to identify root causes and recover from them, could make it feel like your IT team has won the lottery. 


The true cost of downtime

When I say downtime is “costly” I don’t just mean the still oft-quoted monetary figures, such as the $5,600 per minute extrapolated to well over $300k/hr that Gartner mentioned back in 2014 in The Cost of Downtime, or more recent survey results, published by Statista, that confirmed the average hourly downtime cost is between $301,000 and $400,000.


Avg. cost per hour of enterprise server downtime worldwide in 2019



The impact of IT incidents beyond dollars


As Gartner analysts Mark Jaggers and David Gregory detail in their sharply titled research note: “Why Business Leaders Don’t Care About the Cost of Downtime”, there are many other costly business impacts related to IT incidents and downtime, such as:


  • Transactions lost to competitors or time, which can impact brand perception and market share
  • Seasonal business process which may be impacted in a specific, unrecoverable way
  • Impacts to business stakeholders with relevant outcomes directly impacted by loss of IT services
  • Opportunity costs and lost productivity, which go beyond pure dollars & cents

So when considering whether taking a proactive approach to preventing incidents with AIOps could benefit your organization, be sure to analyze all the related impacts and costs that could be mitigated. This whitepaper can help. 


Will tomorrow’s IT environment be self-healing?




On Wednesday, Oct. 16 at 9:00 am PT / 12:00 pm ET, I’ll be partnering with Ayehu’s VP Customer Experience, Peter Lee, and their Sr. Director of Marketing, Guy Nadivi, to present a live webinar that will provide an early glimpse at the self-healing data center of tomorrow.


We’ll demonstrate how AIOps enables IT Ops teams to peer over the horizon to see and automatically remediate incidents before they impact end-users. And you’ll learn how your organization can leverage AIOps to achieve optimum availability and performance.


I encourage you to RSVP for the webinar, even if you can’t attend the live event. We’ll be recording the session and can send you a link to the on-demand version as soon as it’s available. And if you can attend on Wednesday, I look forward to answering your AIOps questions.


I hope you see you there!



Loom Systems delivers an AIOps-powered log analytics solution, Sophie, to predict and prevent problems in the digital business. Loom collects logs and metrics from the entire IT stack, continually monitors them, and gives a heads-up when something is likely to deviate from the norm. When it does, Loom sends out an alert and recommended resolution so DevOps and IT managers can proactively attend to the issue before anything goes down.
Get Started with AIOps Today!


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