Optimized machine learning telemetry processing for a cloud based storage system

A method, comprising:

• providing data associated with a first storage media of a cloud-based storage system as an input to a machine learning model executed by a processing device that identifies one or more characteristics of the first storage media from the data;
• determining, by the machine learning model, a type of change associated with the second storage media based on a comparison of the one or more characteristics of the first storage media and one or more characteristics of a second storage media;
• and
• providing the type of change associated with the second storage media to a cloud services provider of the cloud-based storage system.

A non-transitory computer readable storage medium storing instructions which, when executed, cause a processing device to:

• provide data associated with a first storage media of a cloud-based storage system as an input to a machine learning model that identifies one or more characteristics of the first storage media from the data;
• determine, by the machine learning model, a type of change associated with the second storage media based on a comparison of the one or more characteristics of the first storage media and one or more characteristics of a second storage media;
• and
• provide the type of change associated with the second storage media to a cloud services provider of the cloud-based storage system.