Endurance Testing

Endurance testing as applied by QA Valley measures tolerance to continued use, and involves testing a system with a significant load extended over a significant period to discover how that system behaves under sustained use.

Endurance testing technique involves testing and analysing the system with an extended load over a pre-determined period. This testing ensures the system’s capability to handle the load to a certain point without deterioration in its performance and quality. Memory Utilization of the application is monitored in this type of testing to detect any potential leaks which can cause the system to fail or behave randomly. Data Connectivity issues are identified and throughput or response times after the prolonged use of the application is analysed to determine if the performance of the application is consistent over the testing time.

The very first stage in endurance testing involves setting up the test environment by predetermining the load, capacity to handle this type of testing. It is established by allocating the Hardware, Software, database, and OS required for the application’s endurance test. The test cases are designed, reviewed and finalized along with the load that the application would be put up to. The duration of each test phase and test cycle are determined. The test cases are prioritized based on risk factors. After determining the budget, deliverables, and timeframe the endurance test is commenced.

QA Valley team’s exceptional performance, capacity planning, and optimized services benefits attract new clients and retain our endurance testing customers. QA Valley testing tools include Apache Jmeter, LoadRunner, LoadStorm, LoadUI, Appvance, OpenSTA, WebLOAD, Rational Performance Tester which helps to simplify the process of testing making the end products highly durable. Our testing tools help analyse, find and resolve performance bottlenecks through thorough and robust tests. QA Valley’s highly skilled endurance teams systematic and planned approach enables them to predict systems behaviour and performance resulting in quality output time and again.