Artificial Intelligence for IT Operations

AIOps was initially defined as ‘Algorithmic IT Operations’, a category within the Critical Capabilities for Network Performance Monitoring and Diagnostics (NPMD) products by Gartner, but was updated on August 2017 as ‘Artificial Intelligence for IT Operations’.

LiveNX Insight is LiveAction’s Artificial Intelligence for IT Operations module.


Analytics Node

An analytics node is a software that collects data to be sent to LiveNX Insight for analysis. It is deployed as an OVA typically co-located with the distributed LiveNX Nodes. 

Anomaly Detection

Anomaly detection—identifying events or observations which do not conform to an expected pattern or other items in a dataset—is one example of LiveNX Insight use case.

Big Data Management

See Node below.


Insights has two references within LiveAction. First, LiveNX Insight is a machine learning, analytics software licensed module. Second, LiveNX Insight produces insights, which are analytic based summary observation made because of machine learning. The network engineer or IT operations person can self-select which insight is valuable to the environment, which directs the machine learning to dive deeper into these topical areas for further insights.

Epic Store

See ‘Data Store’.

Data Store

The Flow Data Store is a repository within the LiveNX Server that allows for raw flow (eg. NetFlow, IPFIX etc) and SNMP data to be kept indefinitely as configured by the customer, in the big data backend. The Data Store is optimized for distributed high-performance collection, storage and analysis for flow and machine data using a time series database. The receive rate for flow on a per-node basis is 1 million flows per second.


The LiveNX performance analytics platform is deployed in a scalable three-tiered distributed architecture. The LiveNX architecture consists of:

  • Applications – Web interface and Java application client (Operations Dashboard, Engineering Console, …)
  • Server – Central Manager for visualization, machine learning, reporting and integration.
  • Node – Multiple nodes for SNMP polling, flow collection, and data store. Data is stored in the node. The node collects flow, SNMP, etc. data for storage, analysis and visual presentation.

Within the LiveNX architecture, there are two node types: an analytic node for LiveNX Insight inspection and LiveNX node for all other processing and storage.


A samplicator is a software process that is packaged within LiveNX Node OVA. It allows the ingestion and replication of NetFlow and Sflow instances in order to efficiently send them to multiple LiveNX servers and applications.

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