Artificial Intelligence IT Operations (AIOps) company Moogsoft has come forward with version 8.0 of its Moogsoft Enterprise product.
This is software designed to serve IT Ops and DevOps teams as they build a virtual Network Operations Center (NOC, or vNOC if you prefer) and work more effectively from anywhere.
NOTE: Actually, nobody is using the term vNOC, but perhaps they arguably should and soon might.
The technology at hand here aims to consolidate visibility and control of monitoring tools to help IT Ops and DevOps teams do what they need to do i.e. reduce noise, prioritise incidents, reduce escalations and ensure uptime.
The idea is… the IT operator can analyse alerts, logs, metrics and traces to find and resolve the root cause of incidents before they become outages.
Users can create a vNOC using the Moogsoft Situation Room offering to collaborate throughout the incident management process and diagnose and resolve problems regardless of team members’ physical location.
New features enable teams to identify actionable issues via new noise reduction analysis and automated topology visualisation for root cause analysis. Additionally, version 8.0 expands the platform’s integrated Workflow Engine (WE) with advanced collaboration add-ons to help customers connect with any existing system of record or escalation process.
“In today’s business environment, AIOps is critical to continually assuring uptime of the digital services and experiences that connect companies with their customers,” said Moogsoft founder and CEO Phil Tee. “Moogsoft Enterprise 8.0 allows IT Ops and DevOps teams working from anywhere to regain visibility and control over the scale and complexity of those services.”
Moogsoft offers ability to use its noise reduction AI, known as Entropy, for more effective correlation. The new Alert Analyzer provides customers with auser interface (UI) to visually configure, identify anomalies within and fine tune the platform’s alert processing.
The new Dynamic Topology Builder provides the virtual NOC with a greater level of visibility into the correlation process, based on logical, virtual and physical topological relationships. This feature allows users to gain real-time expanded insights into the incident and visualize the probable root cause and potential impact associated with current and neighboring services.