The New Normal for IT Ops Deepens Need for AI - Part 1
May 05, 2020

Will Cappelli
Moogsoft

Share this

The global pandemic has radically changed how enterprise IT services are consumed, both in the short and long term. Here's how AIOps can help IT Ops teams.

The current crisis has upended all aspects of our personal and work lives, and IT Ops pros aren't the exception. The abrupt shift to remote work has created unprecedented challenges for IT Ops teams, while increasing pressure on them to prevent outages and provide service assurance.

Specifically, new consumption patterns of enterprise IT services have put stress on systems, architectures and topologies at all stack layers. In response, IT Ops teams must rapidly implement structural and management changes to address both temporary and permanent shifts.

In this turmoil, AIOps has emerged as a lifeline. By streamlining and automating IT operations, AIOps helps IT leaders collaborate remotely and act quickly and precisely to maintain business-critical digital services — during the pandemic and beyond.

Let's look in more detail at these challenges and at how AIOps can help IT Ops teams cope and succeed.

AIOps: A Definition

An AIOps solution must have these five types of algorithms that fully automate and streamline five key dimensions of IT operations monitoring:

■ Data selection: Identifying and surfacing the most relevant information.

■ Pattern discovery: Correlating and finding relationships between events across your tool stack.

■ Inference: Identifying root causes and recurring issues.

■ Collaboration: Notifying appropriate operators, and facilitating collaboration.

■ Automation: Automating remediation

In a real world setting, an AIOps solution ingests heterogeneous data from many different sources. Using entropy algorithms, it removes noise and duplication, and selects only the truly relevant data. It then groups and correlates this relevant information using various criteria, like text, time and topology.

Next, it discovers patterns in the data, and infers which data items signify causes, and which signify events. It then communicates the result of that analysis to a collaborative environment, which will support automated responses to what has been discovered.

As such, an AIOps solution plays the role of organizing and integrating what an organization's domain-specific IT monitoring and management tools do, intelligently integrating the stack's functionalities. AIOps should act as the brain that brings together these tools, and becomes a coordinating, central layer.

Transitioning to the New Normal

As the workforce shifts to remote work, user behaviors will change and different elements of the IT infrastructure, both in-house and publicly sourced, will be stressed. This will result in new, quickly-evolving types of incidents and outages. With AIOps, IT Ops teams can detect and analyze genuinely novel anomalies which can cause incidents and outages rapidly and stealthily.

Cross-regional and intra-regional team collaboration among IT operations and NOC organizations will need to be reinforced virtually as the implicit supports derived from physical co-presence are removed. AIOps can enable and guide virtual collaborative observation, analysis and response efforts, helping IT Ops teams collaborate and communicate despite being physically dispersed.

Sharp and unpredictable levels of staff reduction due to illness and self-isolation will force IT operations and NOC organizations to "do more with less" on both the side of signal observation and the side of signal response. Here again AIOps can help IT Ops teams to respond by both dynamically filtering noisy alert streams, and integrating and automating platforms that support various aspects of incident and problem management.

Go to The New Normal for IT Ops Deepens Need for AI - Part 2

Will Cappelli is Field CTO at Moogsoft
Share this

The Latest

February 07, 2023

Digital transformation was a universal theme in 2022. As we track changes in the enterprise architecture landscape, we observe trends that we believe will shape EA in 2023. Here are our predictions for the coming year ...

February 06, 2023

This year 2023, at a macro level we are moving from an inflation economy to a recession and uncertain economy and the general theme is certainly going to be "Doing More with Less" and "Customer Experience is the King." Let us examine what trends and technologies will play a lending hand in these circumstances ...

February 02, 2023

As organizations continue to adapt to a post-pandemic surge in cloud-based productivity, the 2023 State of the Network report from Viavi Solutions details how end-user awareness remains critical and explores the benefits — and challenges — of cloud and off-premises network modernization initiatives ...

February 01, 2023

In the network engineering world, many teams have yet to realize the immense benefit real-time collaboration tools can bring to a successful automation strategy. By integrating a collaboration platform into a network automation strategy — and taking advantage of being able to share responses, files, videos and even links to applications and device statuses — network teams can leverage these tools to manage, monitor and update their networks in real time, and improve the ways in which they manage their networks ...

January 31, 2023

A recent study revealed only an alarming 5% of IT decision makers who report having complete visibility into employee adoption and usage of company-issued applications, demonstrating they are often unknowingly careless when it comes to software investments that can ultimately be costly in terms of time and resources ...

January 30, 2023

Everyone has visibility into their multi-cloud networking environment, but only some are happy with what they see. Unfortunately, this continues a trend. According to EMA's latest research, most network teams have some end-to-end visibility across their multi-cloud networks. Still, only 23.6% are fully satisfied with their multi-cloud network monitoring and troubleshooting capabilities ...

January 26, 2023

As enterprises work to implement or improve their observability practices, tool sprawl is a very real phenomenon ... Tool sprawl can and does happen all across the organization. In this post, though, we'll focus specifically on how and why observability efforts often result in tool sprawl, some of the possible negative consequences of that sprawl, and we'll offer some advice on how to reduce or even avoid sprawl ...

January 25, 2023

As companies generate more data across their network footprints, they need network observability tools to help find meaning in that data for better decision-making and problem solving. It seems many companies believe that adding more tools leads to better and faster insights ... And yet, observability tools aren't meeting many companies' needs. In fact, adding more tools introduces new challenges ...

January 24, 2023

Driven by the need to create scalable, faster, and more agile systems, businesses are adopting cloud native approaches. But cloud native environments also come with an explosion of data and complexity that makes it harder for businesses to detect and remediate issues before everything comes to a screeching halt. Observability, if done right, can make it easier to mitigate these challenges and remediate incidents before they become major customer-impacting problems ...

January 23, 2023

The spiraling cost of energy is forcing public cloud providers to raise their prices significantly. A recent report by Canalys predicted that public cloud prices will jump by around 20% in the US and more than 30% in Europe in 2023. These steep price increases will test the conventional wisdom that moving to the cloud is a cheap computing alternative ...