Endurance Testing Services

Endurance Testing Services

Also known as soak testing, endurance testing helps to determine if a system can sustain a continuous high load. Memory utilization and performance degradation are closely monitored to detect potential leaks and ensure response times are suitable. Generally, this kind of test is done by applying a heavy load to a system for an extended period of time. While some systems perform well with an hour of heavy loads, those same systems could experience degradation after three hours of sustained use.

Using the usage statistics gathered before the tests, an everyday load is determined for the site. Concurrent users and data transfer are incrementally increased that point and are held steady for a predetermined period of time. This test can help identify memory leaks or other issues that a dramatic load test may miss, and since this is the normal, everyday operating capacity of your site, it’s very important to feel confident it can maintain that consistency without error.

Endurance testing should be performed in a systematic, planned way and not ad hoc. For that reason, it’s often left to performance testing professionals who know how to create and adhere to a comprehensive test plan.

QA Mentor’s Performance and Capacity Planning and Performance Engineering and Optimization Services are here to help you professionally analyze, find, and resolve performance bottlenecks that could be holding your company back. By using end-to-end performance measurement, our highly skilled performance engineers can gauge the capability of your current system, pinpoint and analyze resource consumption, and assess the system’s performance against non-functional requirements.

How we do it

Analyze performance requirements

Execute test plan

Establish suitable benchmarks

Compile a comprehensive report of our findings

Create test plan and scenarios

Assist your team in optimization efforts

Benefits to a Customer

No surprises in production

Less downtime

Faster response times

Identify scalability issues early