Microsoft Technology Licensing, LLC

Luke Rafael Rodriguez

Thomas Moscibroda

Marwan E Jubran

Aleksandr Mikhailovich Gershaft

Karthikeyan Subramanian

Gaurav Jagtiani

Shandan Zhou

Saurabh Agarwal

Sanjay Ramanujan

Abhay Sudhir Ketkar

Muhammad Khizar Qazi

Sam Prakash Bheri

Yancheng Chen

Hemant Malik

Shweta Balkrishna Patil

Dalianna Victoria Vaysman

A computer implemented method includes receiving telemetry data corresponding to capacity health of nodes in a cloud based computing system. The received telemetry data is processed via a prediction engine to provide predictions of capacity health at multiple dimensions of the cloud based computing system. Node recoverability information is received and node recovery execution is initiated as a function of the representations of capacity health and node recoverability information.

Capacity aware cloud environment node recovery system

To improve the reliability of nodes that are utilized by a cloud computing provider, information about the entire lifecycle of nodes can be collected and used to predict when nodes are likely to experience failures based at least in part on early lifecycle errors. In one aspect, a plurality of failure issues experienced by a plurality of production nodes in a cloud computing system during a pre-production phase can be identified. A subset of the plurality of failure issues can be selected based at least in part on correlation with service outages for the plurality of production nodes during a production phase. A comparison can be performed between the subset of the plurality of failure issues and a set of failure issues experienced by a pre-production node during the pre-production phase. A risk score for the pre-production node can be calculated based at least in part on the comparison.

Node health prediction based on failure issues experienced prior to deployment in a cloud computing system

Growing community of inventors

Seattle, WA, United States of America

Luke Rafael Rodriguez