Technologies for managing sensor and telemetry data on an edge networking platform

One or more machine-readable storage media storing a plurality of instructions, which, when executed, cause a device to:

• monitor telemetry data associated with a plurality of services provided in an edge network;
• identify, for each of the plurality of services and as a function of the associated telemetry data, one or more service telemetry patterns;
• generate a machine learning model to identify a first service telemetry pattern of change associated with a sensor data;
• predict a second service telemetry pattern based on the generated machine learning model;
• generate a profile including the first and second service telemetry patterns;
• evaluate, for one of the plurality of services, the monitored telemetry data for a change in activity relative to the first and second service telemetry patterns;
• and
• upon a determination that the change in activity is detected, perform an action responsive to the change.

A device comprising:

• means for monitoring telemetry data associated with a plurality of services provided in an edge network;
• means for identifying to:
• identify, for each of the plurality of services and as a function of the associated telemetry data, one or more service telemetry patterns;
• generate a machine learning model to identify a first service telemetry pattern of change associated with a sensor data;
• and
• predict a second service telemetry pattern based on the generated machine learning model;
• and
• means for generating a profile including the identified first and second service telemetry patterns;
• means for evaluating, for one of the plurality of services, the monitored telemetry data for a change in activity relative to the first and second service telemetry patterns;
• and
• means for performing, upon a determination that the change in activity is detected, an action responsive to the change.