Pre-trained software containers for datacenter analysis

A system comprising:

• a processor;
• and
• a machine-readable medium storing instructions that, when executed by the processor, cause the processor to:
• discover devices that are part of a datacenter;
• create a relationship amongst a group of devices from the discovered devices, wherein the group of devices are associated with a specific tenant of the datacenter;
• download a pre-trained software container to each device of the group from a cloud system, wherein the pre-trained software container is specific to respective device the pre-trained software container is downloaded to, and
• wherein the pre-trained software container is pre-trained to collect telemetry data from the respective device, identify an anomaly related to the respective device from the telemetry data, and generate an inference in a pre-defined format;
• receive the inference in the pre-defined format from respective pre-trained software container;
• and
• analyze the received inference.

A non-transitory machine-readable storage medium comprising instructions, the instructions executable by a processor to:

• discover devices that are part of a datacenter;
• create a relationship amongst a group of devices from the discovered devices, based on a criterion;
• download a pre-trained software container to each device of the group from a cloud system, wherein the pre-trained software container is specific to respective device the pre-trained software container is downloaded to, and
• wherein the pre-trained software container is pre-trained to collect telemetry data from the respective device, identify an anomaly related to the respective device from the telemetry data, and generate an inference in a pre-defined format;
• receive the inference in the pre-defined format from respective pre-trained software container;
• and
• analyze the received inference.