Cloud-Agnostic Code Analysis for Specialized Cloud Porting
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Solution Overview
Problem
Existing cloud software development processes face challenges in simplifying and speeding up the porting of public cloud software to specialized clouds like air-gapped or geolocation constrained clouds while adhering to government security constraints, leading to increased error rates and delayed development cycles.
Innovation Solution
Implementing cloud-agnostic code analysis to assess software compatibility by identifying non-permitted, required, fragile, or morph codes, and flagging deny list expressions, enabling public cloud developers to address these issues without violating security constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If public cloud software is ported to specialized clouds without code analysis, then development speed is maintained, but error rates increase and reliability decreases
Solution Approach 1:
The patent performs code analysis before porting software to specialized clouds. The analysis tool scans source code to identify cloud-specific dependencies, configuration issues, and compatibility problems in advance, allowing developers to fix issues before deployment and avoid rework later.
Solution Approach 2:
The patent introduces an intermediary code analysis tool that acts as a mediator between public cloud software and specialized cloud environments. This tool translates and identifies compatibility issues without requiring developers to manually adapt code, streamlining the porting process.
2Adaptability or versatility
If manual code review is performed to ensure security compliance, then security constraints are met, but development complexity increases
Solution Approach 1:
The patent implements a self-service code analysis system that automatically scans and evaluates code against specialized cloud security constraints and compatibility requirements. The tool provides automated feedback and suggestions, reducing the need for manual security reviews while maintaining compliance.
Solution Approach 2:
The patent changes the parameter of security compliance verification from manual review to automated analysis. By transforming security checking into an automated process with configurable parameters, the system maintains security requirements while reducing development complexity.
3Adaptability or versatility
If comprehensive code analysis is performed to identify all incompatibilities, then software compatibility improves, but analysis time increases
Solution Approach 1:
The patent performs selective code analysis focused on cloud-specific patterns and dependencies rather than analyzing every line of code. The tool identifies critical compatibility issues using targeted scanning, achieving sufficient compatibility assessment without exhaustive analysis.
Solution Approach 2:
The patent replaces manual code analysis mechanics with automated computational analysis. The analysis tool uses algorithms to quickly scan and identify compatibility issues, substituting human review with machine-based detection that is both comprehensive and efficient.
Data Source
AI summary
To decrease development revision cycle time and reduce deployment and execution errors when porting software from a public cloud to a specialized cloud, the software is analyzed for certain characteristics. Analysis may check for non-permitted items, required items, fragile code, morph code, or deny list expressions, for example. The particular items, codes, expressions, or other characteristics targeted by analysis derive from gapping constraints that distinguish the specialized cloud from public clouds, such as an air-gap constraint, a geolocation constraint, or a government security constraint. Software cloud compatibility analyses may be added, removed, or updated using a modular framework architecture, using declarative analysis module declarations, or both. False positive analysis results may be filtered out. Analysis results may include suggestions. Cloud compatibility analysis helps a public cloud developer make improvements proactively instead of waiting for compatibility feedback from a specialized cloud developer.