Selecting the right AIOps platform is just the beginning. It’s crucial for the technology to be implemented quickly and efficiently, and to demonstrate value quickly. This is true for any major technology investment but it is particularly true of AIOps. Why? AIOps, and AI in general, has in recent years been the subject of extreme hype. Its promise seems boundless. At the same time, it is poorly understood by those outside — and even inside — of the IT community.

Information Technology (IT), like many other industries, is tapping into the latest advancements in Machine Learning (ML) and Artificial Intelligence (AI) to solve a decades-old problem in the IT management world. History can teach us many things, and by diving into years of accumulated IT data, we can find meaningful insights and use them to guide the future.

Humans are naturally visual creatures. Several of us are visual learners, meaning, we learn by seeing things in action. Tracing is seeing things in action. Troubleshooting where and why something is slow or flat out broken, with clear visual indication, is incredibly powerful.

AIOps is a term Gartner invented to describe a general trend of applying AI techniques to IT Operations data sources to provide additional insights and scale to the teams operating today’s complex software system. AIOps is essentially a feature or set of features to analyze, combine, and collect data. Unfortunately, the lack of AI in these solutions often turns many people off, but this promise is still possible.

What drives an enterprise’s decision to adopt an AIOps platform? Which key problems are they trying to solve? Once it’s deployed, how can they track its value, and explain it to non-IT business leaders? What cultural and technology changes does an AIOps deployment trigger?

In recent years, digital transformation projects have dominated the tech priorities of most IT departments – and rightfully so given that they are tasked with ensuring their organizations stay relevant in a fast-changing world where customer expectations are soaring, and agility is everything. However, the COVID-19 pandemic has thrown a curveball to businesses around the globe.

Network/Security Operations Center (NOC/SOC) engineers and service desk personnel are tasked to process numerous incidents as quickly as possible. However, to resolve an incident they are required to to perform various activities including collecting various operations data including metrics, logs, traces and more from different tools. In many cases, the process also involves coordinating with other IT personnel or creating a war room to bring the incident to closure.