Posted by
Amir Lubashevsky
September 5, 2019

VNT is part of Gartner’s Market Guide for AIOps Platforms

IT environments are exceeding human scale, and manual methods for monitoring and managing them are no longer feasible. Big data, Artificial Intelligence (AI), Machine Learning (ML), and automation are needed to survive in the new reality.  By processing large amounts of data and using analytics and deep learning capabilities, businesses can improve their operations and meet goals such as anomaly detection, event correlation and analysis, IT service management, and automation. 

Gartner is a registered global research and advisory firm that provides information, advice, and tools for leaders in IT, finance, HR, customer service and support, communications, legal and compliance, marketing, sales, and supply chain functions. Gartner research publications coined the term AIOps to describe any improvement to the performance of IT and business services through AI and Machine Learning technology. Their official definition is: AIOps platforms utilize big data, modern machine learning and other advanced analytics technologies to directly and indirectly enhance IT operations (monitoring, automation and service desk) functions with proactive, personal and dynamic insight. AIOps platforms enable the concurrent use of multiple data sources, data collection methods, analytical (real-time and deep) technologies, and presentation technologies.”

Service Marks of Gartner for AIOps Platforms

Gartner’s Market Guide evaluates vendors in the AIOps industry according to their ability to contribute to solving challenges outlined by Gartner research publications. The evaluation criteria include the following capabilities: 

Real-time Streaming Data

Gartner describes this ability as software or apps that allow for the capture, normalization, and presentation of data types, managing this incoming data in what the user would consider to be real time, and delivering the information to the users without the need for a persisted database. VNT provides this capability by giving users access to a complete map of their hybrid ecosystem, showing change in real time.

Wire Data Ingestion

Gartner looks for AIOps platforms with the ability to access the packet data directly from taps on the network. They also value platforms where the protocol and flow of information is accessible and can be analysed. VNT meets these criteria by using network data traffic capture and discovery, which has the added benefit of being a vendor-agnostic solution.

Metrics and Pattern Discovery

As part of performance monitoring and analysis and correlation and contextualization, VNT can capture numerical data which can then have mathematical operations applied, and find correlations that are not immediately obvious from the datasets themselves. This offers critical intelligence for IT operations, and the patterns are used by VNT customers to predict outcomes with varying probability and to perform change management analysis.

Anomaly Detection and Root Cause

Understanding the baselines for operations is the first key step to recognizing when something unusual or problematic has occurred. VNT provides a fully accurate map of your environment, setting up alerts for when something deviates from the norm. An intuitive color scheme shows you the root cause, letting you establish where the problems are, and what needs your attention. The ability to both see the big picture and prioritize threats allows users to effectively allocate their resources and stay one step ahead of threat actors. 

Gartner’s Market Guide highlights the importance of AIOps platforms

According to the opinions of Gartner, which consists of the opinions of leading industry experts, the field of AIOps platforms is not a field that can be ignored—it will be increasingly critical in the future. Here at VNT, we’re proud to be part of building that future. Our groundbreaking AIOps platform is helping businesses achieve more and harness the potential of AI, ML, and big data.