Automated Performance Testing With Real-Time Cross-Environment Metrics
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Solution Overview
Problem
Conventional performance testing applications in cloud computing environments operate in silos, lacking real-time monitoring and integration across environments and applications, leading to inefficiencies and performance issues.
Innovation Solution
A performance testing tool that provides real-time performance metrics and analytics, integrated within a continuous integration and deployment platform, automatically executing tests across environments and applications, and generating comprehensive performance reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional performance testing applications execute testing in silos with manual propagation, then implementation flexibility is maintained, but real-time monitoring capability and integration consistency deteriorate
Solution Approach 1:
The patent merges performance testing execution and reporting into a unified automated system. The performance testing application executes tests and automatically reports results through the same system, eliminating the separation between execution and reporting that caused latency. This integration ensures consistent performance testing across environments while providing real-time results without manual intervention.
2Productivity
If performance testing is executed without integration across environments, then device complexity is reduced, but computing resource efficiency deteriorates
Solution Approach 1:
The performance testing application is designed with multi-functionality to operate across diverse environments (cloud, on-premises, hybrid) and test various software products (applications, services, infrastructure). This universal design enables the single system to efficiently utilize computing resources across multiple environments without requiring separate testing systems for each platform, thereby improving resource efficiency while managing complexity through standardized interfaces.
3Extent of automation
If manual performance testing protocols are used, then adaptability to different test scenarios is maintained, but automation level and real-time analytics capability deteriorate
Solution Approach 1:
The system employs dynamic test script generation that adapts to different performance testing scenarios. Rather than using fixed manual protocols, the application automatically generates and executes test scripts based on the specific requirements of each software product and environment. This dynamic approach enables high automation while maintaining versatility, as the system can adjust testing parameters, protocols, and configurations automatically for each unique testing situation.
Data Source
AI summary
A method including receiving a request to generate a performance test associated with an application, wherein the request specifies a performance characteristic associated with the application, and generating, based on the performance characteristic, the performance test. The method also includes directing execution of the performance test to the application, generating, based on execution of the performance test, a performance metric indicative of the performance characteristic, and compiling the performance metric with one or more additional performance metrics associated with the application.