Segregated Backend Systems for Cloud Application Version Comparison
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Solution Overview
Problem
Current methods for testing applications in cloud-based production environments fail to accurately replicate the actual behavior of applications due to the absence of identical components in testing environments, leading to inadequate security vulnerability testing and feature evaluation.
Innovation Solution
Implementing two versions of a cloud-based application in the same production environment using segregated backend systems, where actual user data is routed and processed to evaluate the operation and desirability of features, allowing for accurate testing within the actual production environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If testing is performed in a designated testing environment isolated from production, then security vulnerabilities can be identified, but the testing environment fails to accurately replicate production behavior
Solution Approach 1:
The patent creates a copy of the production environment by implementing both the first version and second version of the application within the same production environment, using identical components, infrastructure, and data sources. This copying approach allows accurate replication of production behavior while maintaining the ability to conduct security testing.
Solution Approach 2:
The patent segments the production environment by creating separate backend systems for the first version and second version of the application. This segmentation allows independent testing and comparison of different application versions while both running in the same production environment, resolving the contradiction between isolated testing and accurate replication.
2Measurement precision
If all production environment components are provided in the testing environment, then accurate application testing is possible, but the cost becomes economically prohibitive
Solution Approach 1:
The patent merges the testing function with the production environment by implementing both application versions within the same production infrastructure. This eliminates the need for a separate, costly testing environment while maintaining accurate replication of production behavior, as both versions share the same backend systems, databases, and operational context.
3Measurement precision
If actual user data is used for testing, then realistic evaluation of application features is achieved, but security risks increase
Solution Approach 1:
The patent implements a feedback mechanism where the system monitors and compares the performance and behavior of both application versions using the same actual user data in production. This allows realistic feature evaluation while maintaining security through continuous observation and comparison, enabling identification of vulnerabilities without exposing the system to harmful attacks.
Data Source
AI summary
An application is implemented in the production environment in which the application will be used. Two or more backend systems are used to implement different versions of the application using the production environment in which the application will actually be used and accessed. Actual user data is received. A first portion of the actual user data is routed and processed in the production environment using a first version of the application and a first backend system of the two or more backend systems. A second portion of the actual user data is also routed and processed in the production environment but using a second version of the application and a second backend system of the two or more backend systems. The results data is then analyzed to evaluate the various versions of the application in the production environment.