Estimating end-user performance of cloud-based services

A computer system, the computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more computer-readable tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, wherein the computer system is capable of performing a method comprising:
• collecting, for a target cloud-based service, a first dataset including network level metrics, and a second dataset including end-user performance data from one or more monitoring services;
• combining the collected first dataset and the second dataset to generate a curated training dataset;
• training a machine learning prediction model using the curated training dataset;
• and
• predicting and estimating, using the trained machine learning prediction model, the end-user performance of the target cloud-based service for any target end-user.

A computer program product, the computer program product comprising:

• one or more computer-readable tangible storage medium and program instructions stored on at least one of the one or more computer-readable tangible storage medium, the program instructions executable by a processor capable of performing a method, the method comprising:
• collecting, for a target cloud-based service, a first dataset including network level metrics, and a second dataset including end-user performance data from one or more monitoring services;
• combining the collected first dataset and the second dataset to generate a curated training dataset;
• training a machine learning prediction model using the curated training dataset;
• and
• predicting and estimating, using the trained machine learning prediction model, the end-user performance of the target cloud-based service for any target end-user.