Load Testing

Making sure your apps work fine under heavy loads

Knowing exactly when the application breaks

Load testing is one of the multiple dimensions of performance testing as a whole to fully exercise the software and hardware and identify any weaknesses, as well as benchmark where and when the issues arise. During load testing, a normal load, heavy load, and a projected growth load is determined by using usage statistics. Starting with the lighter load, the number of concurrent users is incrementally increased until the system starts to respond more slowly. The increase is continued until the system actually stops responding at all, thereby discovering the failure threshold. This information is used to determine the load boundaries and locate the bottlenecks.

Load testing tools such as JMeter, LoadRunner, Cloudtest and Rational are commonly used and data is gathered during the test. This data is vital to help identify performance bottlenecks, point to infrastructure weaknesses, and help you to make plans for future scalability due to growth. Load testing can tell you exactly how many users or transactions your site can handle before response times increase.

Generally, this test will uncover buffer overflow issues, memory leaks, or load balance problems. Performance optimization can then be completed and hardware changes or additions can be made to increase the failure thresholds as needed.

Our methodology for Load Testing:

  • Determine the definition of normal and heavy loads for your application
  • Determine potential growth of your business
  • Design tests to validate system performance for each defined load
  • Perform tests, log benchmarks, and gather vital data
  • Provide a report of testing results

In software load testing, a system is placed under a load using “virtual users”, which emulate the actions of real users. The load is very similar to a real load, so this method can accurately estimate the maximum performance. 

By controlling the load level during testing, our performance testers determine whether the system satisfies performance requirements, such as the number of operations per hour, response time, number of simultaneously active users, etc.

We follow the below project stages:

Project start: Bringing in the specialists

Our specialists can work at provided workplaces of the client’s choosing, or remotely through secure Internet access to the testing environment.

Designing and coordinating testing methodology

An appropriate testing methodology is designed by software load testers after analyzing the system’s documentation, examining its business processes, and communicating with specialists at the client company.

Determining the load profile

This profile is composed of a number of operations with pre-set execution rates. The number of these operations can be determined based on statistical information, or by analyzing the requirements of the system.

Test model design

Designing the test model is the most important and technologically complex stage. This is the point at which the load testing instruments are created and tuned.

Testing

  • Execution of tests in accordance with load scenarios
  • Processing results
  • Evaluating the validity of test results.

System analysis

The results of these tests are analyzed by Performance Lab specialists when preparing their conclusions and recommendations.

Reports

Preparation of the report that contains testing results and the list of detected problems and recommendations, as well as the creation of the testing instructions.

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