Cloud-Native Application Validation Suite for Deployment Speed
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Solution Overview
Problem
Traditional application development and deployment processes often result in long delays due to the separation of development and operations teams, leading to operational roadblocks that prevent applications from functioning as intended in cloud-native environments, where faster implementation is required.
Innovation Solution
An information handling system with a repository that stores pre-production and production validation suites, allowing applications to be validated in a pre-production environment and then deployed to a production environment, using a processor to assign scores and generate reports based on validation factors aligned with DevOps principles, ensuring cloud-native readiness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional application development and deployment processes are used with separation of development and operations teams, then organizational structure is maintained, but deployment time and implementation speed increase significantly
Solution Approach 1:
The patent merges development and operations validation processes into a unified validation suite that runs automatically in both pre-production and production environments. This eliminates the traditional separation between Dev and Ops teams by implementing a shared validation framework that both teams use, thereby accelerating deployment without sacrificing operational rigor.
Solution Approach 2:
The patent implements preliminary validation in pre-production environments before full production deployment. Validation suites are executed ahead of time to identify and resolve operational roadblocks in advance, preventing delays during actual production deployment and enabling faster implementation.
2Reliability
If comprehensive validation suites are implemented in both pre-production and production environments, then application reliability improves, but system complexity increases
Solution Approach 1:
The patent creates a universal validation suite that serves multiple functions: it validates applications in pre-production environments, continues validation in production environments, and provides feedback for both development and operations teams. This multi-functional approach maintains reliability without proportionally increasing complexity, as the same validation framework is reused across different stages.
Solution Approach 2:
The validation system is segmented into distinct pre-production and production validation suites, each with specific validation factors appropriate to their environment. This segmentation allows complex validation to be broken down into manageable, environment-specific subsets, reducing the perceived complexity while maintaining comprehensive validation coverage.
3Measurement precision
If validation scores and detailed reports are generated for each validation factor, then application quality assessment improves, but processing overhead increases
Solution Approach 1:
The patent implements automated feedback loops where validation scores and reports are generated systematically for each validation factor. This feedback mechanism provides precise measurement of application quality while the automation reduces processing overhead, as the system self-evaluates without requiring manual intervention for each validation factor.
Data Source
AI summary
An information handling system includes a repository that stores a pre-production validation suite and a production validation suite. The pre-production validation suite includes first validation factors, and the production validation suite includes second validation factors. A processor may deploy an application in a pre-production environment, and validate the application in the pre-production environment using the pre-production validation suite. If the application passes the pre-production validation suite, then the processor may deploy the application in a production environment. The processor also may validate the application in the production environment using the production validation suite, assign a score associated with each one of the first validation factors and each one of the second validation factors, and generate a report based on the score associated with each one of the first validation factors and each one of the second validation factors.