Configuration Data Analyzer for Application Deployment Comparison
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Solution Overview
Problem
Conventional tools are unable to effectively compare and contrast configuration data across different computer applications, especially when the volume of data is large, such as thousands or millions of key-value pairs.
Innovation Solution
A configuration data analyzer is developed to identify and track differences between at least two applications by creating data models from configuration files, comparing organizational structures and elements, and providing interactive views of differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional tools are used to compare configuration data, then the analysis process is simple, but the ability to compare across different applications with large volumes of data is insufficient
Solution Approach 1:
The system segments configuration data into key-value pairs and organizes them by application, environment, and configuration item. This segmentation enables the system to handle large volumes of data across multiple applications by processing and comparing them in manageable units rather than attempting to analyze the entire configuration space at once.
Solution Approach 2:
The patent introduces a configuration data analyzer as an intermediary system that sits between configuration data sources and users. This intermediary collects, stores, and processes configuration data from multiple applications, providing standardized comparison capabilities without requiring users to directly handle the complexity of multi-application data structures.
2Quantity of substance
If the volume of configuration data is large (thousands or millions of key-value pairs), then the comprehensiveness of analysis is improved, but the difficulty of comparing and contrasting data increases
Solution Approach 1:
The system extracts and isolates specific configuration items and their key-value pairs from the larger configuration data set. By taking out individual configuration items for focused comparison, the system makes it easier to detect and measure differences even when the overall volume of data is large, allowing users to concentrate on specific areas of interest rather than wading through all data.
Solution Approach 2:
The patent replaces manual mechanical comparison processes with automated computational algorithms. The configuration data analyzer uses computer processing to automatically compare key-value pairs across applications, substituting the mechanical task of manual data review with electronic computation that can efficiently handle large volumes of data and identify differences without human intervention.
3Measurement precision
If configuration data is analyzed in detail, then the precision of root cause analysis is improved, but the time required for analysis increases
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing configuration data in a structured format before actual analysis is needed. Configuration data is collected and organized in advance, allowing rapid retrieval and comparison when analysis is required, thus reducing the time needed for root cause analysis while maintaining precision through comprehensive data availability.
Solution Approach 2:
The configuration data analyzer provides feedback mechanisms that guide users through the analysis process by highlighting potential issues and suggesting areas of focus. This feedback loop enables users to efficiently narrow down to the most likely root causes without having to exhaustively examine all configuration data, thereby reducing analysis time while maintaining high precision through targeted investigation.
Data Source
AI summary
In various embodiments, a process for providing a configuration data analyzer includes ingesting a first configuration of a first deployment of an application service and ingesting a second configuration of a second deployment of the application service. The process includes comparing organizational structures and elements of the first configuration against the second configuration. The process includes providing, via a user interface, an interactive view indicating differences between the organizational structures and the elements of the first configuration and the second configuration for the first and second different deployments of the application service.