Data processing system with machine learning engine to provide enterprise monitoring functions

A method, comprising:

• at a computing platform comprising at least one processor, memory, and a communication interface:
• generating, by the at least one processor, one or more environment scan commands directing one or more hardware elements included in a distributed computing environment to provide mapping data;
• sending, by the at least one processor, via the communication interface, to the distributed computing environment, the one or more environment scan commands directing the one or more hardware elements included in the distributed computing environment to provide the mapping data;
• receiving, by the at least one processor, via the communication interface, environment mapping data from the distributed computing environment;
• generating, by the at least one processor, a machine learning dataset based on the environment mapping data received from the distributed computing environment;
• validating, by the at least one processor, the machine learning dataset generated based on the environment mapping data received from the distributed computing environment;
• monitoring, by the at least one processor, the distributed computing environment;
• based on monitoring the distributed computing environment, detecting, by the at least one processor, an environmental modification in the distributed computing environment;
• in response to detecting the environmental modification in the distributed computing environment, generating, by the at least one processor, one or more updated environment scan commands directing the one or more hardware elements included in the distributed computing environment to provide updated mapping data;
• sending, by the at least one processor, via the communication interface, to the distributed computing environment, the one or more updated environment scan commands directing the one or more hardware elements included in the distributed computing environment to provide the updated mapping data;
• after detecting the environmental modification in the distributed computing environment, receiving, by the at least one processor, via the communication interface, updated environment mapping data from the distributed computing environment;
• and
• generating, by the at least one processor, an updated machine learning dataset based on the updated environment mapping data received from the distributed computing environment.

One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, memory, and a communication interface, cause the computing platform to:

• generate one or more environment scan commands directing one or more hardware elements included in a distributed computing environment to provide mapping data;
• send, via the communication interface, to the distributed computing environment, the one or more environment scan commands directing the one or more hardware elements included in the distributed computing environment to provide the mapping data;
• receive, via the communication interface, environment mapping data from the distributed computing environment;
• generate a machine learning dataset based on the environment mapping data received from the distributed computing environment;
• validate the machine learning dataset generated based on the environment mapping data received from the distributed computing environment;
• monitor the distributed computing environment;
• based on monitoring the distributed computing environment, detect an environmental modification in the distributed computing environment;
• in response to detecting the environmental modification in the distributed computing environment, generate one or more updated environment scan commands directing the one or more hardware elements included in the distributed computing environment to provide updated mapping data;
• send, via the communication interface, to the distributed computing environment, the one or more updated environment scan commands directing the one or more hardware elements included in the distributed computing environment to provide the updated mapping data;
• after detecting the environmental modification in the distributed computing environment, receive, via the communication interface, updated environment mapping data from the distributed computing environment;
• and
• generate an updated machine learning dataset based on the updated environment mapping data received from the distributed computing environment.