Machine learning for metric collection

This invention describes a system that keeps an eye on computer networks by gathering performance data, called metrics. Initially, it collects this data at a certain pace. The system then decides if a particular metric is important or "critical," and if so, it starts collecting that specific metric much more frequently to get a detailed view.

Why it matters: Filed before the recent surge in accessible, powerful AI/ML models. The ability to automatically optimize sampling and recommend alert rules, as described, could now leverage more sophisticated and readily available machine learning techniques.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, data pipelines, ML algorithms

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