Industry experts offer thoughtful, insightful, and often controversial predictions on how APM, AIOps, Observability, OpenTelemetry and related technologies will evolve and impact business in 2024. Part 6 covers AIOps and ITSM.
MEANING OF AIOPS BECOMES INCREASINGLY CONFUSING
Just what AIOps means will increasingly become a source of confusion, as market definitions seek to confine a diversity of solutions which vary in scope, design point, use case, complexity, and value into a single consistent box. Buyers will need to look for the fit that's right for them, not linear winners in a non-linear set of options.
VP, Enterprise Management Associates (EMA)
AIOPS DOES NOT REACH DREAM STATE NEXT YEAR
AIOps, in the truest sense, is currently more like a pipe dream or goal state for most companies. I don't expect the industry to reach the dream state of AIOps next year; however, I think we'll see significant progress and investments in the AIOps space. In the not-too-distant future, an engineer is going to have the ability to respond to an incident, get a highly detailed summary—explaining what the problem is, if it's occurred before, if it appears to be novel, etc—and gain solid suggestions on what they should do to remediate the issue, with specific suggestions like rolling back the deployment or updating the configuration. Plus, with the improvements to generative AI over the next few years, these suggestions could very well include the new code or the updated configuration itself. Even so, we won't be quite to the point where an Ops person is going to be able to just sleep through the incident, but the industry is heading in that direction.
Senior Product Manager, New Relic
AIOPS FALLS OUT FAVOR
AIOps will continue to fall out of favor as those that implemented it realize that the promised benefits like root cause detection just aren't there.
SHIFT FROM AIOPS TO LLMs
In 2024, I expect to see more companies reach a breaking point with AIOps and shift their focus towards the potential of LLMs. While AIOps was a laudable concept when introduced, in practice it has failed to live up to its promise. The idea that you could train a model on data emitted by apps, that change every day, is nothing more than a pipe dream. Large Language Models (LLMs) appear to be a far more promising alternative because they attack the problem differently and help users make more intelligent decisions. Companies are waking up to this fact but many more will begin to act on it in the new year.
FUSION OF AIOPS AND CONTAINERS REDEFINES ITOPS
The fusion of AIOps with container technology is set to redefine IT operations. This integration promises to catalyze a shift from reactive to predictive management, harnessing intelligent automation to anticipate issues before they impact performance. While high-performance computing (HPC) has traditionally been cautious in adopting such trends, we anticipate a growing recognition of their value in driving efficiency and reliability across all sectors of IT operations, including high-performance environments.
VP of Strategy, Sylabs
USAGE METERING CRITICAL FOR AIOPS
Usage metering will become critical to companies leveraging AIOps due to its user-level granularity and unique insights. To get ahead of this, businesses should instrument usage metering as soon as possible. Accurate usage data is invaluable to understanding your customers, training your AIOps models, and gleaning insights across various business functions.
CEO and Founder, Amberflo
AIOPS EXPANDS BEYOND ITOPS
AIOps will expand beyond its traditional definition of IT operations as other business units will consider applying advanced analytics to their growing piles of data.
Principal Developer Evangelist, Selector.AI
WORKING TOWARDS ITSM POTENTIAL
Similarly to AIOps, the industry is working toward reaching the full potential of ITSM. Eventually, these capabilities will empower engineering teams to automate tasks, like identifying incidents before they reach a critical state, applying changes to remediate issues before they become serious, or writing and resolving support tickets.
Senior Product Manager, New Relic
ITSM LEVERAGES GENAI INTERACTIONS
IT Service Management (ITSM) will experience a trending adoption of ChatGPT-like interactions for end-users to easily get answers to today's help desk scenarios. Organizations will look to adopt this as well to reduce operational costs.
Managing Director, Identity and Access Management, MorganFranklin Consulting
ITSM TEAMS INVEST IN EMPLOYEE EXPERIENCE MANAGEMENT
ITSM teams will invest in employee experience management tools to minimize digital friction and to proactively address issues with connectivity and application performance from the user perspective for both distributed remote and in-office employees. We'll seen an uptick in understanding and mapping user journeys so organizations can best tailor digital experiences to individual preferences.
DIGITAL ADOPTION PLATFORMS SUPPORT ITSM
Given the staggering cost of software application downtime — which runs at about $5,600 per minute — in 2024, we expect to see more organizations embracing a digital adoption platform (DAP) in tandem with their ITSM strategy. We increasingly see IT managers taking this step to avoid expensive downtime when a disruption occurs. The key is to have ongoing training, automation or guided risk management processes in place so there is little to no pause in response when the inevitable happens.
Founder and CEO, Apty
Go to: 2024 Application Performance Management Predictions - Part 7, covering the user experience.
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In MEAN TIME TO INSIGHT Episode 3, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at Enterprise Management Associates (EMA) discusses network security with Chris Steffen, VP of Research Covering Information Security, Risk, and Compliance Management at EMA ...
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