It not only requires a comprehensive knowledge of load testing design, an understanding of the technical layers involved in the application, and familiarity with the application’s architecture, but it also demands the ability to make accurate conclusions about the data and communicate them to stakeholders - all within a short time window. Load testing results analysis can be a thankless and stressful job.
Framework components include these steps: Results analysis is a predictive tool that describes the expected behavior of the application under production load stressors and provides the foundation for smart decision-making.īecause business success can depend on accurate load test analysis and conclusions, testers will benefit from a logical framework to approach load test analysis. Loss of revenue is why the analysis of performance test data is so essential. When the application doesn’t either meet user expectations or deliver the value users expect, customers will take their business elsewhere. A premature decision to go live with a risky website or application can have profound, and unwelcome, ramifications that impact revenue, brand, market perception, and the user experience. Analysis results inform the tactical and strategic decisions that drive the business. The accurate interpretation of performance test data is an incredibly critical role. When done correctly, load tests reveal system errors and limitations through test results so they can be remediated.
NEOLOAD MAX RESPONSE SIZE CODE
The objective of performance testing is to identify and expose the most likely sources of risk and deliver the actionable insight required to mitigate the code and performance bottlenecks that lead to application downtime and outages.
0 kommentar(er)
