You can use your performance testing results in your research and development departments and pool your resources accordingly to enhance your software performance and product offering. Measuring the performance of fundamental features and functionalities of the software helps you make informed decisions and plan your business strategy on the software’s setup. Your application’s success depends upon how strong its foundation is. Looking at the test results, developers can learn what changes they must incorporate into the software to overcome the negative points and make it more efficient. Hence, testing your application for these aspects lets you monitor how the software behaves under pressure and provides you with crucial details on how it can handle scalability. Speed, stability, and accuracy are some of the significant attributes of software performance. Measure the Software’s Speed, Stability, and Accuracy Now, let’s discuss some benefits of performance testing. It ensures all the features, functionalities, and systems perform optimally to offer a better user experience. It proves how crucial performance testing is for your applications. Similarly, App Store’s downtime resulted in $25 million in losses, said another report from March 2015.ĭespite having robust IT infrastructure and security, these tech giants suffered huge losses. You can perform scalability testing by adding data volume or users gradually while monitoring the software’s performance.Īs per a report published in March 2019, Facebook suffered a catastrophic blackout and lost around $90 million in revenue. The test will tell you its behavior when you scale up or down the performance attributes of the software. Scalability testing measures how effective the software is in handling an increasing amount of workload. It checks for data loss, system response time, data storage reliability, and more. Volume testing (also called ‘flood testing’) tests how efficient the software is when subjected to large volumes of data. Volume Testingĭuring the development phase, only a small amount of data is used to test code. It tells you whether the software can handle that abrupt increase of workload repeatedly and rapidly. Spike testing is a type of stress testing that measures software performance under a significant and sudden ‘spike’ or increasing workload like simulated users. It strains hardware resources like CPU, memory, disk space, etc., to measure the application’s breaking point based on resource utilization.Įxample: Companies perform stress testing before some major events like Black Friday to check the performance of their ecommerce applications. It helps you understand the point at which the software fails and how it recovers from the failure. The goal of this testing is to determine the software’s stability. It means the software is placed under higher traffic loads (more users, transactions, etc.) to help developers learn how well the software performs above its capacity limits expectedly. Stress testing measures software performance beyond the normal working parameters. Endurance testing also analyzes response times and throughput after prolonged use to display whether these metrics are consistent or not. In other words, it determines how long the software can endure a constant workload to provide long-term sustainability.ĭuring this testing, test teams monitor KPIs like memory leaks, memory usage, memory shortages, and more. Endurance TestingĪlso called soak testing, endurance testing evaluates the performance of the software over an extended period under a regular, fixed workload. Thanks to load testing, developers can understand how many concurrent users a software application can handle at a given time. By identifying any performance bottlenecks in these attributes, you can troubleshoot them before launching the application to ensure a better end-user experience. It aims at observing the response time, throughput rates, resource utilization, and more. This workload can be concurrent users, the number of transactions, software behavior, etc. Load testing determines how the software performs with the increase in workload in a given time. There are six major types of performance testing: 1. Site performance directly affects UX, conversions, and ultimately, your bottom line □ Keep it in check with these testing tools ⬇️ Click to Tweet 6 Common Types of Performance Testing The goal of performance testing is to identify all the performance bottlenecks in an application. Kinsta APM is a built-in performance testing tool for Kinsta clients Performance testing is a type of software testing that helps you determine the performance of a software in terms of speed, response time, scalability, resource usage, and stability under a given workload.
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