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Observability AI and Automation

Observability AI and Automation

A critical objective of many network transformation projects is enable automation to offset the time-consuming and costly manpower requirements to manage scalable, distributed networks and to achieve more cloud-like efficiencies. While the separation of functions found in most virtualized, NFV or cloud-native environments could initially multiply the complexity of managing services, they also promise unprecedented ability to streamline and automate management and maintenance functions through the use of telemetry, closed loop processes and increasingly AI techniques.

Analytics

Closed Loop Automation

TADK

Telemetry

Ensure platform and container metrics and events are accessible though industry standard interfaces to allow capacity planning, trending and operational status.