Performance Testing

PERFORMANCE TESTING

Get intelligence on your product’s response to high-performance operations!

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Performance testing is used to determine the responsiveness and stability of your software under a particular workload. The tests provide insight into the performance of a system in certain situations. With performance testing, any failure in the design of a system can be detected in advance. The goal is to set targets (benchmarks) for the AUT (application under test) or test the system, on the other hand. Here you can use several target variables that prevail in software development and application operation.

This is not about finding application errors but about the performance and responses of a system’s scaled load increase. Performance testing is characterized by the gathering of intelligence during a high-performance operation.

LOAD TESTING

Load tests aim to see how the AUT deals with the largest possible loads, how persistent it is, and how it can be scaled. To do this, the zero loads is also examined to understand how the system works. Load tests are designed to bring the system to its limits by constantly increasing users and transactions (per second). 

Findings of thresholds of a system just before total failure provide necessary information about the system architecture and hardware requirements. The goal of load testing is to explore possible weaknesses, and shortcomings of an application in buffer overflows, memory leaks and memory failures in high load operation. Also, it is essential to find out where the limit is, both for the application itself and connected systems such as database, hardware and network infrastructure, to master the expected load without any problems in the future.

The goal of load tests is to explore possible weaknesses and deficiencies of an application in the area of buffer overflows, memory leaks and memory errors in high-load operation. In addition, it is important to find out where the limits and thresholds are for both the application itself and connected systems such as the database, hardware and network infrastructure in order to master the expected load in the future without problems and failures.

STRESS TESTING

The challenge is to set up a controlled environment before starting the test to see exactly how the system behaves under unpredictable situations.

Stress testing aims to analyze post-crash reports in order to deliberately control system behavior after a failure.

The biggest challenge is to ensure that the security of sensitive data is not compromised at any time. One can speak of a successful stress test when the system independently returns to normal operation together with all components after a total failure.

ROCKETLAB LOAD & PERFORMANCE TEST TOOLS

Rocketlab provides load and performance testing services. With over two decades of experience in carrying out performance tests, we now focus on a set of commercial and open-source tools that provide the best results and optimal experience. Here is a list of the essential tools we use:

  • LoadRunner by Micro Focus (former HPE)
  • StormRunner Load by Micro Focus
  • Neoload by Neotys
  • JMeter
  • Gatling

PERFORMANCE TEST TOOLS

There are a lot of Performance test tools, and finding the right one is crucial. Open source tools are cheaper but usually require more effort and work to succeed. Not all AUT can be tested well with them, and the load test scripts are generally only feasible with advanced programming skills. 

Reporting is often only possible with manual effort, or it is possible to set up your automated reporting system. By contrast, commercial test tools bring their reporting capabilities and usually support monitoring your servers and infrastructure. They often provide interfaces to APM (application performance monitoring) tools and support various protocols and interfaces.

QUICK ESTIMATE REQUEST

Rocketlab offers you experience and knowledge from numerous projects of global companies.

Our test experts have diverse knowledge in numerous disciplines to ensure holistic test coverage of highly scalable industrial applications.