20240020199. Automatically Halting Cloud Service Deployments Based on Telemetry and Alert Data simplified abstract (MICROSOFT TECHNOLOGY LICENSING, LLC)

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Automatically Halting Cloud Service Deployments Based on Telemetry and Alert Data

Organization Name

MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor(s)

Nidhi Verma of Bellevue WA (US)

Rahul Nigam of Bothell WA (US)

Sudharsan Ganesan of Bothell WA (US)

Automatically Halting Cloud Service Deployments Based on Telemetry and Alert Data - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240020199 titled 'Automatically Halting Cloud Service Deployments Based on Telemetry and Alert Data

Simplified Explanation

The abstract describes a data processing system that manages the deployment of updates to a cloud-based service. The system deploys updates to different subsets of users in stages, based on a deployment plan. It receives signal data regarding the performance of the update at each stage and analyzes this data to determine if any trigger conditions for halting and recovery rules have been satisfied. If a trigger condition is met, the system automatically halts the deployment of the update to the affected components of the cloud-based service.

  • The system manages the deployment of updates to a cloud-based service.
  • Updates are deployed in stages to different subsets of users based on a deployment plan.
  • Signal data regarding the performance of the update at each stage is received and analyzed.
  • Trigger conditions for halting and recovery rules associated with the update are determined based on the analyzed signal data.
  • If a trigger condition is met, the deployment of the update to the affected components is automatically halted.

Potential Applications:

  • Cloud-based service providers can use this system to efficiently deploy updates to their services.
  • The system can be applied to various types of cloud-based services, such as software-as-a-service platforms or infrastructure-as-a-service environments.

Problems Solved:

  • Ensures that updates to a cloud-based service are deployed in a controlled and monitored manner.
  • Allows for the identification of issues or performance problems during the deployment process.
  • Provides a mechanism for automatically halting the deployment if certain trigger conditions are met, preventing potential disruptions or negative impacts on users.

Benefits:

  • Improved management and control of update deployments for cloud-based services.
  • Enhanced monitoring and analysis of update performance at different stages.
  • Automatic halting of deployments based on trigger conditions helps prevent potential issues or negative impacts on users.


Original Abstract Submitted

a data processing system implements managing the deployment of updates to a cloud-based service by deploying an update to one or more components of a cloud-based service according to a deployment plan. the deployment plan defines a plurality of stages in which the update is deployed to a subset of the components associated with a different subset of users of a userbase. the system implements receiving signal data that includes information regarding the performance of the update at each stage of the deployment plan; analyzing the signal data to determine whether one or more trigger conditions of halt and recovery rules associated with the update have been satisfied; and automatically halting deployment of the update to the one or more components of the cloud-based service responsive to at least one of the trigger conditions associated with the halt and recovery rules associated with the update having been satisfied.

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