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).
The Technology of AIOps: Autopilot
Rules and Patterns
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.
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:
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.