Process segment augmentation

An apparatus comprising:

• a processor, a data storage component coupled to the processor, wherein the processor is to:
• train a machine-learning model to detect a bottleneck process segment in a process flow performed by at least a first network-attachable computing entity;
• deploying a trained said model to monitor at least said first network-attachable computing entity in operation;
• responsive to detection of an instance of said bottleneck process segment, analyze said bottleneck process segment to determine a cause of said bottleneck process segment;
• responsive to determination of said cause of said bottleneck process segment, generate an augmented functional unit to address said cause of said bottleneck process segment;
• and
• deploy said augmented functional unit to said first network-attachable computing entity and a further network-attachable computing entity having an instance of a process comprising said bottleneck process segment.

A computer program comprising computer program code stored on a non-transitory computer-readable medium to, when loaded into a computer system and executed thereon, cause said computer system to:

• train a machine-learning model to detect a bottleneck process segment in a process flow performed by at least a first network-attachable computing entity;
• deploying a trained said model to monitor at least said first network-attachable computing entity in operation;
• responsive to detection of an instance of said bottleneck process segment, analyze said bottleneck process segment to determine a cause of said bottleneck process segment;
• responsive to determination of said cause of said bottleneck process segment, generate an augmented functional unit to address said cause of said bottleneck process segment;
• and
• deploy said augmented functional unit to said first network-attachable computing entity and a further network-attachable computing entity having an instance of a process comprising said bottleneck process segment.