US 2026/0121967 A1Published application

Regression detection using indicators from dependent services

AssigneeMicrosoft Technology Licensing, LLC

InventorsMeera Alpeshkumar SUTHAR AKA GAJJAR, Arvind NARASIMHAN, Hoda AGHAEI KHOUZANI, Ashish GANGAL, Rajive KUMAR, Pui Yan KWOK, Zhangwei XU, Laxmikant AGRAWAL

Life of this patent

Estimating the term…

patentgrep

Loading patent…

Abstract

A system implements techniques for efficiently determining that an update deployed by a foundational service has caused a regression based on an aggregate health determination associated with tenant services and/or cloud resource provider services that depend upon the foundational service. The deployment of the update is initiated by an entity (e.g., an engineering team) tasked with operating and/or managing the foundational service. Accordingly, the system described herein can generate and provide a communication, to the foundational service (e.g., entity), indicating that a regression has likely been caused by the update and/or instructing the foundational service to halt the deployment of the update.

Claims20

Dependent claims

A method comprising:

generating a dependency graph that defines dependencies between foundational services and advanced services executing within geographic regions defined for a cloud computing environment;
determining that a particular foundational service is deploying an update via a rollout schedule associated with an order for the geographic regions;
identifying, via the dependency graph, a set of advanced services that depend on the particular foundational service within a first geographic region in the order for the geographic regions;
for an advanced service in the set of advanced services:
retrieving values for a plurality of service level indicators;
categorizing the advanced service as being one of healthy or unhealthy by applying an anomaly detection algorithm to the values;
determining that the update is causing a regression for the particular foundational service based on a number of unhealthy advanced services in the set of advanced services satisfying a threshold number of unhealthy advanced services;
and
providing a regression notification to the particular foundational service, the regression notification instructing the particular foundational service to halt the deployment of the update to subsequent geographic regions in the order for the geographic regions in response to determining that the update is causing the regression for the particular foundational service.

6 more elements

A system comprising:

a processing system;
and
a computer readable storage medium storing instructions that, when executed by the processing system, cause the system to perform operations comprising:
determining that a particular foundational service is deploying an update via a rollout schedule associated with an order for the geographic regions;
identifying, via a dependency graph, a set of advanced services that depend on the particular foundational service within a first geographic region in the order for the geographic regions;
for an advanced service in the set of advanced services:
retrieving values for a plurality of service level indicators;
categorizing the advanced service as being one of healthy or unhealthy by applying an anomaly detection algorithm to the values;
determining that the update is causing a regression for the particular foundational service based on a number of unhealthy advanced services in the set of advanced services satisfying a threshold number of unhealthy advanced services;
and
providing a regression notification to the particular foundational service in response to determining that the update is causing the regression for the particular foundational service.

8 more elements

A computer readable storage medium storing instructions that, when executed by a processing system, cause a system to perform operations comprising:

determining that a particular foundational service is deploying an update via a rollout schedule associated with an order for the geographic regions;
identifying, via a dependency graph, a set of advanced services that depend on the particular foundational service within a first geographic region in the order for the geographic regions;
for an advanced service in the set of advanced services:
retrieving values for a plurality of service level indicators;
categorizing the advanced service as being one of healthy or unhealthy by applying an anomaly detection algorithm to the values;
determining that the update is causing a regression for the particular foundational service based on a number of unhealthy advanced services in the set of advanced services satisfying a threshold number of unhealthy advanced services;
and
providing a regression notification to the particular foundational service in response to determining that the update is causing the regression for the particular foundational service.

5 more elements

Dependencies are inferred from the claim text.