Analyze with AIOps

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Raising the Intelligence in AIOps

AIOps solutions are only as good as the data and context fed into them for model creation. Netreo’s AIOps: Autopilot integrates two decades of pragmatic use cases that have made a difference in real-world deployments when deciding how to tune your Netreo application. With Netreo, network and system administrators can spend less time tuning their NMS platforms and spend more time supporting end-users, engineering, and meeting committed service-level agreements (SLAs).

How Can AIOps: Autopilot Help My Organization?

AIOps: Autopilot builds on Netreo’s solid backbone of other AI- and ML-based technologies, such as anomalistic behavior detection, automatic dependency mapping, and event correlations.

Join us for a webinar to learn how and why AIOps: Autopilot helps your team spend more time engineering and less time fire-fighting.

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The Technology of AIOps: Autopilot

Data sources

Data Sources

Real-time processing

Real-Time Processing

Rules and patterns

Rules and Patterns

Domain algorithms

Domain Algorithms

ML/AI

ML/AI

Automation

Automation

Netreo’s AIOps: Autopilot extends the capabilities of the Netreo full-stack IT management solution, which enables enterprises to easily measure the state, impact and operation of IT resources, so they can focus on their core business. The add-on works with both the on-premises and native-cloud versions of Netreo’s solution, including Netreo Cloud.

Netreo screenshot

Always On. Always Analyzing.

AIOps: Autopilot runs in the background of a Netreo deployment and constantly scans the configuration to make sure it is always tuned properly. 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 so that it can both reduce unnecessary alerts and preemptively correct more issues over time.

Extending Netreo’s Full-Stack Capabilities

AIOps: Autopilot builds on Netreo’s solid backbone of other AI- and ML-based technologies, such as anomalistic behavior detection, automatic dependency mapping, and event correlations. Although it gets better at its job the longer it runs in an environment, 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:

Alert noise

Automatically baseline thresholds against historical values and exceptions to minimize false-positives and alert noise.

KPIs algorithms

Model all metrics against best-practice key performance indicators (KPIs) to ensure there are no blind spots.

Domain algorithms

Learn system and environment changes, and change the monitoring infrastructure to automatically adapt.

Ready to get started? Get in touch or schedule a demo.