Performance testing is a testing measure that evaluates the speed, responsiveness and stability of a computer, network, software program or device under a workload. Organizations will run performance tests to identify performance-related bottlenecks. Show Without some form of performance testing in place, system performance will likely be affected with slow response times and experiences that are inconsistent between users and the operating system, creating an overall poor user experience. Performance testing also helps determine if the developed system meets speed, responsiveness and stability requirements while under workloads to help ensure a more positive user experience. Performance testing can involve quantitative tests done in a lab or it can occur in the production environment. Performance requirements should be identified and tested. Typical parameters include processing speed, data transfer rates, network bandwidth and throughput, workload efficiency and reliability. As an example, an organization can measure the response time of a program when a user requests an action; the same can be done at scale. If the response times are slow, then this means developers should test to find where the bottleneck is. Why use performance testing?An organization can use performance testing as a diagnostic aid to locate computing or communications bottlenecks within a system. Bottlenecks are a single point or component within a system's overall function that holds back overall performance. For example, even the fastest computer will function poorly on the web if the bandwidth is less than 1 megabit per second (Mbps). Slow data transfer rates might be inherent in hardware but could also result from software-related problems -- such as too many applications running at the same time or a corrupted file in a web browser. Developers can use performance testing as a form of software testing to help identify the nature or location of a software-related performance problem by highlighting where an application might fail or lag. They can also use this form of testing to ensure an organization is prepared for a predictable major event. Performance testing can also verify that a system meets the specifications claimed by its manufacturer or vendor. The process can compare two or more devices or programs. Performance testing metricsA number of performance metrics, or key performance indicators (KPIs), can help an organization evaluate current performance. Performance metrics commonly include:
These metrics and others help an organization perform multiple types of performance tests. How to conduct performance testingBecause testers can conduct performance testing with different types of metrics, the actual process can vary greatly. However, a generic process may look like:
Organizations should find testing tools that can best automate their performance testing process. In addition, testers should not make changes to the testing environments between tests. Types of performance testingThere are two main performance testing methods: load testing and stress testing. However, there are other types of testing methods developers can use to determine performance. Some examples are as follows:
Cloud performance testingDevelopers can carry out performance testing in the cloud as well. Cloud performance testing has the benefit of being able to test applications at a larger scale while also maintaining the cost benefits from being in the cloud. At first, organizations thought that moving performance testing to the cloud would ease the performance testing process while making it more scalable. The thought process was that an organization could offload the process to the cloud, and that would solve all their problems. However, when organizations began doing this, they started to find that there are still issues in conducting performance testing in the cloud, as the organization won't have in-depth, white-box knowledge on the cloud provider's side. One of the challenges with moving an application from an on-premises environment to the cloud is complacency. Developers and IT staff may assume that the application will work just the same once it reaches the cloud. They'll minimize testing and QA and proceed with a quick rollout. Because the application is being tested on another vendor's hardware, testing may not be as accurate as on-premises testing. Development and operations teams should check for security gaps, conduct load testing, assess scalability, consider user experience and map servers, ports and paths. Inter-application communication can be one of the biggest issues in moving an app to the cloud. Cloud environments will typically have more security restrictions on internal communications than on-premises environments. An organization should construct a complete map of which servers, ports and communication paths the application uses before moving to the cloud. Conducting performance monitoring may help as well. Performance testing challengesSome challenges within performance testing are as follows:
Performance testing toolsAn IT team can use a variety of performance test tools, depending on its needs and preferences. Some examples of performance testing tools include: |