Cloud Service Update Deployment via Segmented Installer Instances
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Solution Overview
Problem
Current approaches to deploying updates in cloud-based services are sequential, leading to a single point of failure and significant delays if a regression is introduced, affecting the entire deployment framework.
Innovation Solution
A scalable deployment framework that automatically adapts to changing deployment policies and ring structures, allowing for parallel deployment of updates across multiple rings and stages, with load balancing to distribute tasks and rapid recovery from failed updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If updates are deployed sequentially across cloud-based service systems, then deployment control and risk mitigation are improved, but deployment time and system availability deteriorate significantly when regressions occur
Solution Approach 1:
The patent divides the deployment system into independent installer instances, each responsible for specific rings or stages. This segmentation allows parallel deployment across multiple segments while maintaining individual control, so that a failure in one segment does not halt deployments in other segments.
Solution Approach 2:
The patent transitions from sequential deployment (one dimension) to parallel deployment across multiple installer instances (adding another dimension). This dimensional change enables simultaneous deployment to multiple rings while maintaining risk mitigation through independent instance management.
2Productivity
If multiple versions of updates are deployed simultaneously to different rings, then productivity and deployment speed are improved, but system reliability deteriorates due to single point of failure
Solution Approach 1:
The deployment framework is segmented into multiple independent installer instances, each capable of deploying updates to specific rings. This segmentation enables parallel deployment (improving productivity) while isolation between instances prevents single points of failure (maintaining reliability).
Solution Approach 2:
The system dynamically adjusts deployment parameters such as ring assignments and payload selections for each installer instance based on policy information. This allows flexible configuration of parallel deployments while maintaining control over reliability through parameter-based instance management.
3Reliability
If a regression is introduced in one update version, then deployment control is maintained for that version, but the entire deployment framework becomes incapacitated
Solution Approach 1:
By segmenting the deployment framework into independent installer instances, the patent ensures that a regression affecting one instance does not incapacitate the entire system. Other instances continue to deploy their assigned updates independently, maintaining overall deployment capability.
Solution Approach 2:
The patent introduces a configuration store as an intermediary between policy information and installer instances. This intermediary allows dynamic adjustment of instance configurations and ring assignments, enabling the system to maintain deployment control while isolating the impact of regressions to specific instances.
4Stability of the object's composition
If sequential deployment is used to mitigate risk, then deployment stability is improved, but the ability to rapidly deploy fixes and new features deteriorates
Solution Approach 1:
The patent segments the deployment process into parallel installer instances that can simultaneously deploy to different rings. This segmentation maintains stability through independent instance management while dramatically increasing the overall deployment rate through parallel execution.
Solution Approach 2:
The system adds a parallel dimension to deployment by running multiple installer instances simultaneously. This dimensional change enables rapid deployment across multiple rings while maintaining stability through the independent, isolated nature of each instance.
Data Source
AI summary
A data processing system implements obtaining policy information for an update to be deployed to one or more components of a cloud-based service identifying a plurality of rings of the cloud-based service to which the update is to be deployed; analyzing the policy information to determine configuration information for a plurality of installer instances each associated with one or more rings or one or more stages of a ring to which the update is to be deployed; obtaining payload information for each respective installer instance, the payload information indicating one or more payloads associated with the update to be deployed to the respective one or more rings or one or more stages of the ring associated with the respective installer instance; and deploying the one or more payloads for each of the one or more rings or the one or more stages of the ring associated with each installer instance.