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AIOps Exchange: The AIOps Manifesto

Pete Goldin
Editor and Publisher
APMdigest

AIOps Exchange, a not-for-profit private forum defining the future of AIOps, published The AIOps Manifesto discussing the role of AI in supporting digital transformation.


The document provides a best practices framework for deploying AIOps solutions to help IT Ops and DevOps teams deliver high-quality services continuously and consistently.

The AIOps Manifesto was co-authored by a group of industry analysts that sit on AIOps Exchange’s steering committee. The authors are encouraging feedback and open debate, with the hopes of having the document ratified by Exchange members at a future meeting.

The AIOps Manifesto states: "The burdens of modern IT Operations Management can be ameliorated, even largely removed, using Artificial Intelligence (AI). The market for AI applied to IT Operations, or 'AIOps' for short, is growing in parallel with digital transformation. AI has emerged as the key to mastering both the explosion in system data and the automation of human-to-machine interactions."

The manifesto includes:

■ 5 distinct algorithm definitions

■ 6 kinds of vendor solutions

■ Key AIOps market drivers

The AIOps Manifesto was co-authored by Will Cappelli, a former research VP at Gartner (now CTO of Moogsoft); James Governor, founder of RedMonk; and Clive Longbottom, co-founder of Quocirca.

“Gartner’s own definition of AIOps is still evolving, and the impact it can have on enterprise business strategy is a continuing conversation,” explains Will Cappelli. “Our goal with The AIOps Manifesto is to foster an open, honest exchange of ideas among end user organizations. By debating AIOps best practices, we hope all market stakeholders will benefit, especially IT Operations teams. All feedback to The AIOps Manifesto is welcome during this open comment period, after which we hope it will be officially adopted.”

In today’s business landscape, the complexity of digital business supporting IT systems has resulted in an ever-growing volume of noisy event data that impact the IT Operations Management function. The AIOps Manifesto states that without the assistance of AI technology across the spectrum of IT Operations — or AIOps — it has become impossible to observe, understand, and modify digital business supporting IT systems. Additionally, it explains how AIOps can significantly reduce the fixed costs and enhance the value of IT-related decision making, as well as linking and integrating tasks performed within the different roles of IT Operations, DevOps, IT Service Management, and other functions.

“The increasingly complexity of an organization’s IT platform, combined with the dependency of the business upon it, means that standard approaches to operational management are no longer fit for purpose,” said Clive Longbottom. “A range of approaches need to be brought to bear: a combination of data aggregation, analysis and pattern recognition, and rule-based systems, along with data transfer and results communication to entities that are not just human. In essence, we need the equivalent of a human, albeit one that does not make mistakes and can deal with the masses of data that a modern platform produces in real time. Therefore, we need artificial intelligence. Welcome to the age of AIOps.”

Pete Goldin is Editor and Publisher of APMdigest

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AIOps Exchange: The AIOps Manifesto

Pete Goldin
Editor and Publisher
APMdigest

AIOps Exchange, a not-for-profit private forum defining the future of AIOps, published The AIOps Manifesto discussing the role of AI in supporting digital transformation.


The document provides a best practices framework for deploying AIOps solutions to help IT Ops and DevOps teams deliver high-quality services continuously and consistently.

The AIOps Manifesto was co-authored by a group of industry analysts that sit on AIOps Exchange’s steering committee. The authors are encouraging feedback and open debate, with the hopes of having the document ratified by Exchange members at a future meeting.

The AIOps Manifesto states: "The burdens of modern IT Operations Management can be ameliorated, even largely removed, using Artificial Intelligence (AI). The market for AI applied to IT Operations, or 'AIOps' for short, is growing in parallel with digital transformation. AI has emerged as the key to mastering both the explosion in system data and the automation of human-to-machine interactions."

The manifesto includes:

■ 5 distinct algorithm definitions

■ 6 kinds of vendor solutions

■ Key AIOps market drivers

The AIOps Manifesto was co-authored by Will Cappelli, a former research VP at Gartner (now CTO of Moogsoft); James Governor, founder of RedMonk; and Clive Longbottom, co-founder of Quocirca.

“Gartner’s own definition of AIOps is still evolving, and the impact it can have on enterprise business strategy is a continuing conversation,” explains Will Cappelli. “Our goal with The AIOps Manifesto is to foster an open, honest exchange of ideas among end user organizations. By debating AIOps best practices, we hope all market stakeholders will benefit, especially IT Operations teams. All feedback to The AIOps Manifesto is welcome during this open comment period, after which we hope it will be officially adopted.”

In today’s business landscape, the complexity of digital business supporting IT systems has resulted in an ever-growing volume of noisy event data that impact the IT Operations Management function. The AIOps Manifesto states that without the assistance of AI technology across the spectrum of IT Operations — or AIOps — it has become impossible to observe, understand, and modify digital business supporting IT systems. Additionally, it explains how AIOps can significantly reduce the fixed costs and enhance the value of IT-related decision making, as well as linking and integrating tasks performed within the different roles of IT Operations, DevOps, IT Service Management, and other functions.

“The increasingly complexity of an organization’s IT platform, combined with the dependency of the business upon it, means that standard approaches to operational management are no longer fit for purpose,” said Clive Longbottom. “A range of approaches need to be brought to bear: a combination of data aggregation, analysis and pattern recognition, and rule-based systems, along with data transfer and results communication to entities that are not just human. In essence, we need the equivalent of a human, albeit one that does not make mistakes and can deal with the masses of data that a modern platform produces in real time. Therefore, we need artificial intelligence. Welcome to the age of AIOps.”

Pete Goldin is Editor and Publisher of APMdigest

Hot Topics

The Latest

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...