Microsoft Technology Licensing, LLC

John Bronn Socha-Leialoha

Zhangwei Xu

Thomas Scott Coon

Yingnong Dang

Rajive Kumar

Daniel Samuel Charlton

Yusuf Tinwala

The techniques described herein automatically correlate the health of cloud resources to a broader health determination for an entity executing within, or supported by, a distributed computing environment. In contrast to the typical manual analysis that is required to make a broader health determination for a specific entity, the techniques generate and use a standard health model that can be applied, or scaled, to detect unhealthy scenarios across a variety of different entities with different owners (e.g., different tenants and/or different cloud resource providers). Furthermore, to meet varying owner perspectives on health, the techniques include a layer on top of the standard health model that enables an owner to provide input that customizes the standard health model for their own entity.

Health model for cloud service health monitoring

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Bellevue, WA, United States of America

John Bronn Socha-Leialoha