PERFORMANCE TESTING SERVICES
One advantage of our services is that it enables you to develop applications easily and faster using both standard and personalized features. Our Performance Testing Services are meant to cater for needs in various industries including: Web businesses, software vendors, and enterprises. Web load, Load Runner, Silk Performer, JMeter, etc. are some of the tools we apply for providing Performance Testing Services.
As enterprises make incursions into newer markets, they need to meet rising customer needs with superior experience and quick delivery. Businesses are investing significantly in building next-generation products using new technologies. However, there is no guarantee for stability, speed, and scalability. Any poor performance or disruption of services will impact brand image, revenue, and client loyalty. If an online-shop is experiencing poor performance, end-users will explore other channels, as a good site experience is like a reliable brand and once lost, it’s almost impossible to retain.
Considering that speed-to-market is key to success, your business needs the right procedure, tools, and expertise for flexible delivery and market-leading level. This is where we help your enterprise stay ahead of the curve!
WHY PERFORMANCE TESTING?
In performance testing, a software is tested for its performance factors like responsiveness, throughput, reliability, and scalability of a system under required load. As performance testing is taking place, factors like heavy web traffic, code optimization, application behaviour to different volume and hardware configuration are performed.
Types of Software to be tested include:
OUR SERVICES UNDER PERFORMANCE TESTING
We use load trials to understand the character of your system under an expected load. This load can be the expected numbers of users on the application performing a specific number of tasks within the set period. In this test, we get the feedback times of all the important business critical transactions. We also track the application server, database, etc. during the trial, this will help to identify bottlenecks in the hardware that the software is installed on and application software.
We test for stress to ascertain the upper limits of volume within the system. This type of test is done so that we can determine the system’s robustness regarding excessive load and helps us to know if the system will perform sufficiently if the current load goes well above the expected limits.
It is a relatively unique form of performance testing when global applications such as Google, Facebook, and Wikipedia, are performance experimented from load generators that are placed on the ideal target continent whether real machines or virtual cloud VMs. These tests usually need an immense amount of preparation and observation to be implemented successfully.
Rather than testing for performance from a load outlook, we form tests to determine the impact of setting changes to the system’s components on the system’s operation and character. A typical example would be experimenting with different methods of load-balancing.
It also referred to as endurance testing, we use soak experiments to determine if the system can stand the constant expected load. During soak trials, memory utilization is observed to detect potential gushes. Also, important but often ignored is performance degradation, i.e. to ensure that the feedback time and throughput after some long-time of sustained activity are better than at the beginning of the test. It mainly involves using a significant load to a system for an extended period. The purpose we do this is to discover how the system reacts under sustained use.
We do this by spontaneously increasing or decreasing the load produced by numerous users, and observing the character of the system. The reason we do this trial is to determine whether performance will be affected, the system will fail, or it will be able to sustain the dramatic changes in load.
It is not unique to carry out testing but requires repeating a test execution that led to a system problem. Such testing can often confirm the fault domain by isolation.