No Longer Haunted by the Ghost of AIOps Past
Richard Whitehead | August 10, 2022

How AIOps has evolved into an accessible and efficient solution

How AIOps has evolved into an accessible and efficient solution

Moogsoft turned a decade old this year, but Gartner didn’t even coin the term “AIOps” until 2016. A little simple math will tell you: we’ve been applying machine learning to big data and automating IT operations before the technology was even named. In other words, we’ve been in the AIOps market from the get-go (or before the get-go).

In that time, the AIOps market has grown and matured. This no-name, niche technology is now entering the mainstream as the only effective solution for managing IT ecosystems and maintaining the availability of digital apps and services.

And with tech availability making or breaking today’s digitally-driven enterprises, it’s no wonder AIOps is gaining in popularity.

Still, some in the IT or general business community are haunted by the ghosts of AIOps past. Typically holdovers from previous generations of AIOps technology, some common misconceptions are that the technology is expensive, overly complicated and takes a long time to realize value.

Let’s explore how modern AIOps solutions veer from this reputation.

Myth #1: AIOps solutions are pricey

Before specifically looking at the cost of AIOps, consider the big picture: downtime is extraordinarily expensive for modern-day enterprises. Because technology powers just about every aspect of a business, unplanned downtime impacts just about every aspect of the business. And it’s not just the direct financial costs. Other costs pile up too — diminished customer loyalty, damaged employee morale and lost business opportunities.

By ensuring uptime and catching incidents before they impact end users, AIOps solutions can have significant positive impact on the bottom line. The sooner a DevOps practitioner or SRE gets word of a disruption, the quicker they can fix it and prevent extensive financial damages. But there’s more. The price has dropped too.

Most AIOps vendors now offer software as a service (SaaS) applications that scale to meet business’ specific needs. As those needs evolve, so can the software package, making flexible SaaS options more economical than their static, on-prem counterparts.

Myth #2: AIOps platforms have a long time to value

In the early days, AIOps solutions were generally deployed on-premises at data centers. This required complicated configuration processes, and thus, a significant time commitment and a long time to value. But SaaS offerings simplify the once-complicated deployment process, providing much quicker ROI. As we say at Moogsoft, your AIOps solution can get up and running in the time it takes to make a cappuccino! And business value follows quickly after.

Myth #3: AIOps technology is resource-intensive

With SaaS solutions, businesses require little infrastructure to support the AIOps technology, as they’re not the entities hosting the product. Likewise, the vendor handles most of the software’s ongoing maintenance, like upgrades or necessary patches, meaning the end user spends little time managing the AIOps tool.

Another resource-saving benefit of AIOps is automation. By automating the incident pipeline, AIOps platforms eliminate time-consuming, repetitive tasks and only notify human operators when there’s a significant problem that needs to be fixed. And machine learning algorithms save resources by preventing recurring issues from happening in the first place.

Despite some outdated misconceptions, not all AIOps platforms are cost-prohibative, slow to show results or fussy.

Ready to shake the ghosts of AIOps past? Experience cloud-native AIOps with a Moogsoft free trial. Or, if you prefer more hands-on guidance, take the Moogsoft AIOps Challenge. A Moogsoft engineer will quickly set up your account and show you the value AIOps can provide in just three days!

Moogsoft is the AI-driven observability leader that provides intelligent monitoring solutions for smart DevOps. Moogsoft delivers the most advanced cloud-native, self-service platform for software engineers, developers and operators to instantly see everything, know what’s wrong and fix things faster.
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About the author


Richard Whitehead

As Moogsoft's Chief Evangelist, Richard brings a keen sense of what is required to build transformational solutions. A former CTO and Technology VP, Richard brought new technologies to market, and was responsible for strategy, partnerships and product research. Richard served on Splunk’s Technology Advisory Board through their Series A, providing product and market guidance. He served on the Advisory Boards of RedSeal and Meriton Networks, was a charter member of the TMF NGOSS architecture committee, chaired a DMTF Working Group, and recently co-chaired the ONUG Monitoring & Observability Working Group. Richard holds three patents, and is considered dangerous with JavaScript.

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