Application Migration Performance Testing System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current testing methods for application migration do not allow for time-sensitive and cost-effective testing that provides accurate results, leading to unknown issues in operability, performance, and cost when applications are retrofitted for new technologies.
Innovation Solution
A system and method for determining system performance for application migration, which involves receiving an application test request from an end-point device, executing a portion of the application on new and existing technology types via a cloud device, comparing metrics, and generating a new technology performance indicator for transmission back to the end-point device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional testing methods are used for application migration, then testing can be performed, but it is time-consuming and costly without providing accurate results
Solution Approach 1:
The system performs preliminary actions by automatically provisioning test environments, deploying applications, and configuring test scenarios before actual performance testing begins. This preliminary setup automation eliminates manual preparation time and ensures consistent, accurate testing conditions are established in advance, resolving the contradiction between obtaining accurate results and minimizing testing time.
Solution Approach 2:
The system creates virtual copies of production environments and application instances for testing purposes. By provisioning replicated test environments that mirror production configurations, the system enables accurate performance measurement without requiring extensive physical hardware setup, thus achieving measurement precision while reducing the time and resources needed for physical testing infrastructure.
2Measurement precision
If comprehensive application testing is performed across multiple technology types, then accurate performance comparison is achieved, but testing cost increases
Solution Approach 1:
The system implements a universal test platform that can execute the same test suite across multiple technology types (cloud, on-premises, hybrid environments). This multi-functional capability allows comprehensive performance comparison across different technologies using a single integrated system, achieving accurate cross-technology performance measurement while avoiding the need for separate testing infrastructures for each technology type, thereby reducing overall testing costs.
Solution Approach 2:
The system dynamically adjusts testing parameters such as workload intensity, resource allocation, and test duration based on the specific technology being tested and performance requirements. By optimizing test parameters for each scenario rather than using fixed comprehensive test suites, the system achieves accurate performance comparison while minimizing resource consumption and testing costs through parameter-driven test adaptation.
3Productivity
If manual testing processes are used for application migration, then detailed control is possible, but productivity decreases
Solution Approach 1:
The system implements self-service capabilities where the testing platform automatically provisions resources, configures test environments, executes test suites, and generates performance reports without requiring manual intervention for each step. This automation dramatically increases testing productivity by eliminating repetitive manual tasks while the underlying complex operations are handled transparently by the system, resolving the contradiction between high productivity and system complexity through automated self-service operations.
Solution Approach 2:
The system incorporates continuous feedback mechanisms that automatically monitor test execution, performance metrics, and system states, then use this feedback to dynamically adjust testing parameters and generate actionable insights. This automated feedback loop enables the system to maintain appropriate levels of control and complexity management while significantly increasing productivity through intelligent, data-driven test execution without requiring manual oversight of every system parameter.
Data Source
AI summary
Systems, computer program products, and methods for determining system performance for application migration are provided. The method includes receiving an application test request from an end-point device associated with an application. The application test request includes an existing technology indicator and a new technology indicator. The method also includes causing an execution of at least a portion of the application using the at least one of the new technology types via a cloud device. The method further includes comparing one or more metrics for the application performed between at least one of the new technology type(s) and at least one of the existing technology type(s). The method still further includes determining a new technology performance indicator for each of the new technology type(s). The method also includes causing a transmission of the new technology performance indicator(s) to the end-point device associated with the application.