Automated Computing Cluster Configuration Standardization
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Solution Overview
Problem
Enterprise computing infrastructures face challenges in maintaining standardized configurations across multiple environments, leading to configuration drift and increased operational costs, especially when migrating from legacy physical servers to cloud environments.
Innovation Solution
A system and method for computing cluster configuration standardization that uses a data collector to extract configuration data from various environments, an AI processor to generate matching scores, and a cluster matching engine to identify and standardize clusters, allowing for automated standardization and mitigation of configuration drift.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual configuration management is used across multiple computing environments, then flexibility in individual environment customization is maintained, but configuration drift occurs and operational complexity increases
Solution Approach 1:
The patent transforms configuration management from manual parameter setting to automated parameter standardization by establishing baseline configurations and using configuration management tools to enforce standardized parameters across all environments, reducing operational complexity while maintaining adaptability through controlled parameter variations
Solution Approach 2:
The patent implements feedback mechanisms through configuration auditing and drift detection that continuously monitor environment configurations and automatically correct deviations from baseline standards, preventing configuration drift and reducing operational complexity over time
2Adaptability or versatility
If environment-specific customizations are allowed, then specific operational requirements are met, but configuration standardization deteriorates and migration difficulty increases
Solution Approach 1:
The patent segments configuration management into baseline standardized components and environment-specific customizable components, allowing controlled customization while maintaining overall standardization through a hierarchical configuration framework that supports both standardization and targeted customization
Solution Approach 2:
The patent performs preliminary configuration standardization by establishing baseline configurations before environment deployment, and uses configuration management tools to pre-configure environments with standardized settings, reducing the need for post-deployment customizations and maintaining configuration precision
3Ease of operation
If configuration drift is permitted to occur, then operational flexibility is maintained, but migration costs increase and automated deployment becomes difficult
Solution Approach 1:
The patent implements continuous feedback through configuration auditing that detects drift early and triggers automated remediation, maintaining operational flexibility by allowing temporary deviations while ensuring rapid correction to prevent migration-impacting drift accumulation
Solution Approach 2:
The patent uses parameter-based configuration management that allows operational flexibility through parameter variations while maintaining standardized parameter structures, enabling efficient migration by ensuring configuration parameters remain compatible with standardized deployment templates
Data Source
AI summary
Systems and techniques for computing cluster configuration standardization are described herein. Configuration data obtained for a plurality of computing systems may be evaluated. A first computing cluster may be identified based on first configuration data for a first set of computing systems. A second computing cluster may be identified based on second configuration data for a second set of computing systems. A score may be calculated for the second computing cluster based on an evaluation of the second configuration data using the first configuration data. The second computing cluster may be associated with the first computing cluster based on the score. A standard configuration may be selected to be applied to the first set of computing systems and the second set of computing systems using the first configuration data.