Availability Graph Tool for Cloud Infrastructure Bottleneck Detection
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Solution Overview
Problem
Current tools for IT system availability analysis lack a comprehensive and automated method to visualize and enhance system availability, particularly in cloud environments, making it difficult for system architects to identify and address bottlenecks effectively.
Innovation Solution
The development of an Availability Graph tool that analyzes resource configurations from cloud templates, such as AWS CloudFormation and Terraform files, to generate a graphical representation of resource relationships and availability, allowing architects to identify bottlenecks and make adjustments for improved system design and deployment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated availability analysis tools are used, then analysis efficiency is improved, but comprehensive visualization and bottleneck detection capabilities are insufficient
Solution Approach 1:
The system segments the infrastructure template into individual resources and groups, creating a hierarchical structure where each component can be analyzed independently. The availability analysis is divided into resource-level analysis and system-level analysis, allowing detailed bottleneck detection at each level while maintaining overall system context.
Solution Approach 2:
The patent introduces a graphical dimension to availability analysis by generating visual representations that display resources, their relationships, and availability metrics in a spatial layout. This graphical interface adds a visual dimension to the analysis, enabling architects to see bottlenecks and dependencies that are not apparent in tabular or textual formats.
2Measurement precision
If detailed resource relationship analysis is performed, then bottleneck detection is improved, but system complexity increases
Solution Approach 1:
The analysis system is segmented into distinct functional components: template parsing module, resource identification module, relationship extraction module, availability calculation module, and visualization module. This segmentation allows each component to handle specific tasks independently, reducing overall system complexity while maintaining high measurement precision through specialized processing at each stage.
Solution Approach 2:
The patent introduces intermediate data structures and graphical representations that mediate between the complex infrastructure template and the final availability analysis results. These intermediaries simplify the transformation process by providing structured representations of resources and relationships, making the analysis more manageable and interpretable.
3Manufacturing precision
If availability analysis is integrated into design phase, then design quality is improved, but tool automation capability is insufficient
Solution Approach 1:
The system performs availability analysis during the design phase, before the infrastructure is deployed. By analyzing the infrastructure template in advance, the tool can identify potential availability issues and bottlenecks early in the design process, allowing architects to make adjustments before implementation. This preliminary action integrates availability considerations into the design workflow automatically.
Solution Approach 2:
The availability analysis tool is designed to automatically parse infrastructure templates, extract resource relationships, calculate availability metrics, and generate visualizations without requiring manual intervention. The system serves itself by automating the entire analysis workflow, from input template processing to output generation, thereby enhancing both design quality and tool automation capability simultaneously.
Data Source
AI summary
An approach to improving system availability. Availability data for individual resources may be obtained from configuration templates and stored in an Availability Graph. The graph is traversed to calculate availability statistics at a grouped component and at an overall architecture level and grouping components level. Revisions may be made to enhance overall availability levels, and the revised Availability Graph can also be exported as an implementable configuration file. As a result, this solution provides a structured way to detect and resolve availability bottlenecks.