Profiling and diagnostics for internet of things

A method, by a computing device, for an Internet of Things (IoT) system, comprising:

• performing profiling and diagnostics of the IoT system, comprising:
• matching an observed solution characteristic of the IoT system to an anomaly in an anomaly database;
• generating at least one entry for the anomaly database, comprising performing a simulation iterating through workloads on the IoT system giving resulting simulated solution characteristics of the IoT system;
• and
• issuing a notification in response to the match;
• and
• implementing corrective action in response to the notification.

A tangible, non-transitory, computer-readable medium comprising code executable by a processor of a computing device to direct the processor to:

• generate at least one entry for an anomaly database for an IoT system, comprising to perform a simulation to iterate through workloads on the IoT system at different gateway architecture characteristics of the IoT system giving resulting simulated solution characteristics of the IoT system, wherein the at least one entry comprises a simulated solution characteristic;
• match an observed solution characteristic of the IoT system to an anomaly in the anomaly database;
• and
• issue a notification in response to the match.

A computing device for an Internet of Things (IoT) system, wherein the computing device comprises a processor and a mass storage, the mass storage comprising code that when executed by the processor, directs the processor to:

• match an observed solution characteristic of the IoT system to an anomaly in an anomaly database;
• issue a notification in response to the match;
• and
• prevent, via a corrective action, a failure in the IoT system associated with the anomaly, wherein the observed solution characteristic is based on the IoT system comprising a hybrid of live and simulated components.