Netreo, a supplier of IT management announced the release of AIOps: Autopilot, said to be the first product featuring data models that combine artificial intelligence (AI) and machine learning (ML) technology with 20 years of network management system (NMS) configuration and monitoring data.
This allows threshold baselines, event correlation rules, dependency mapping, and many other configurations to evolve and improve the longer Netreo is deployed.
AIOps: Autopilot works with both the on-premises and native-cloud versions of Netreo’s solution, including Netreo Cloud. It runs in the background of a Netreo deployment and constantly scans the configuration to make sure it is always tuned properly, the company says.
When issues or potential improvements are found, AIOps: Autopilot will either automatically fix the problem or provide engineers suggested remediations using AI and ML algorithms applied against previously gathered historical data.
AIOps: Autopilot automatically learns from every successive execution and gets smarter, so that it can both reduce unnecessary alerts and preemptively correct more issues over time.
AIOps: Autopilot also comes with an array of extensions out-of-the-box to give operations teams a head start. These extensions provide the ability to:
- Automatically baseline thresholds against historical values and exceptions to minimize false-positives and alert noise.
- Model all metrics against best-practice key performance indicators (KPIs) to ensure there are no blind spots.
- Learn system and environment changes, and change the monitoring infrastructure to automatically adapt.
Pricing for the AIOps: Autopilot add-on is $12,000 for customers that purchase a Professional Level license. Autopilot is included at the Ultimate License level.
