Deployment Consistency Orchestrator for Update Safety
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Solution Overview
Problem
Managing the risks associated with updating computing devices in deployments, as updates can either improve or deteriorate the operation of deployments, and administrators face challenges in evaluating the risks and benefits of applying updates across diverse deployments.
Innovation Solution
A deployment consistency orchestrator system that identifies common update practices among similar deployments, performs a commonality analysis to determine consistent update practices, and enforces these practices across deployments to ensure that beneficial updates are applied while avoiding detrimental ones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If administrators manually evaluate and manage updates for diverse deployments, then they can assess risks and benefits of each update, but the cognitive burden on administrators increases significantly
Solution Approach 1:
The system enables deployments to self-evaluate update risks by automatically comparing their characteristics with similar deployments that have already applied updates. The deployment consistency orchestrator facilitates this self-service mechanism by querying deployment characteristics and analyzing commonality, allowing deployments to autonomously determine update safety without administrator intervention.
Solution Approach 2:
The system implements feedback by collecting update practice data from multiple deployments, analyzing commonalities among similar deployments, and using this feedback to determine whether a deployment should apply a given update. The orchestrator continuously monitors update outcomes and uses this information to improve future update decisions.
2Adaptability or versatility
If updates are applied across diverse deployments without classification, then deployment diversity is maintained, but update consistency and reliability deteriorate
Solution Approach 1:
The system segments deployments into distinct classifications based on their characteristics (e.g., deployment type, scale, criticality). The deployment consistency orchestrator queries deployment characteristics and groups similar deployments together, allowing update practices to be tailored to each segment while maintaining overall deployment diversity.
Solution Approach 2:
The system applies different update practices to different deployment classifications rather than using a uniform approach. By analyzing commonality among deployments with similar characteristics, the system determines appropriate update strategies for each local group, ensuring update consistency within classifications while preserving overall deployment diversity.
3Reliability
If commonality analysis is performed across all deployments, then comprehensive update practices are identified, but the complexity of the system increases
Solution Approach 1:
The system reduces complexity by segmenting the commonality analysis to only include deployments within the same classification. Rather than analyzing all deployments globally, the orchestrator queries for similar deployments based on characteristics and performs commonality analysis within these segmented groups, maintaining practice quality while reducing system complexity.
Data Source
AI summary
A deployment consistency orchestrator includes storage for storing a manual update practice repository and a deployment characteristics repository. The orchestrator further includes an automated update practices manager that identifies a change in update practice event for a deployment; in response to identifying the change in update practice event: identifies, using the deployment characteristics repository, a portion of deployments having a classification that is similar to a classification of the deployment; identifies a portion of the manual update practices repository associated with the portion of the deployments; performs a commonality analysis using the portion of the manual update practices to identify consistent update practices associated with the classification of the deployment; and enforces the consistent update practices associated with the classification on the deployment.