Which two of the following items are required to use Anomaly-Based Alerts in SolarWinds Hybrid...

Anomaly-Based Alertingis a premier feature of Hybrid Cloud Observability that moves beyond static thresholds to identify performance deviations based on historical behavior. According to theSolarWinds HCO Administrator Guide, this feature relies on cloud-assisted analytics to process complex datasets. To enable this, two specific components are required:

Advanced Machine-Learning Feature: This is the functional logic within the HCO platform that identifies patterns and establishes "normal" baselines for metrics like CPU load or interface utilization.

Platform Connect: This is the essential bridge that links the self-hosted HCO instance to the SolarWinds cloud-based AIOps engine. Because anomaly detection requires significant computational power to analyze long-term historical trends, the heavy processing is often offloaded. Platform Connect ensures that the necessary metadata can be analyzed securely to generate the dynamic thresholds used for these alerts.

WithoutPlatform Connect, the local server cannot access the machine-learning models required to calculate what constitutes an "anomaly" versus standard operational variance. This architecture allows HCO to provide high-level AIOps capabilities without requiring massive localized hardware for every installation.