How does Netuitive learn the "relationship" between service components without requiring user-defined dependency maps?

Netuitive analyzes IT component behavior from three different perspectives: Availability, Performance, and Workload. This data is then processed by Netuitive to self-learn and continuously adapt the correlation coefficients between service metrics. These coefficients make up the service dependencies and are used to determine service health and isolate root-cause in case of service outage.. more.

Netuitive SI provides Netuitive Service Analyzer with quality analysis data for the infrastructure components that make up a service. Each component is analyzed by Netuitive SI from three different perspectives: Availability, Performance, and Workload. This data is then processed by Netuitive Service Analyzer to self-learn and continuously adapt the correlation coefficients between service metrics.

These coefficients make up the service dependencies and are used to determine service health and isolate root-cause in case of service outage. More.

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