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What is Performance Testing?
Performance Testing is a type of software testing which guarantees that the application is performing well under the defined user load. Main purpose of performance testing is not to find bugs but to eliminate performance bottlenecks. It evaluates the quality attributes of the system.
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Performance Testing FAQs
Performance testing is a non-functional software testing technique that specifies how the stability, speed, scalability, and responsiveness of an application holds up under a given number of virtual user. It’s a crucial step in making certain of software quality.
The purposes of performance testing include evaluating application output, processing speed, data transfer velocity, network bandwidth usage, maximum concurrent users, memory utilization, workload efficiency, and command response times.
Performance testing tools address application and system design issues by testing reliability and scalability. Unlike bug testing tools, performance testing tools establish a performance baseline and then attempt to discover bottlenecks by adding stress.
Loadium is a JMeter, Gatling and Selenium compatible self-service (PaaS) and on-premise load test platform. Loadium provides all types performance tests. Within minutes, you can run tests in your own environment or in AZUR / AWS with thousands of simultaneous simulated users at different 13 locations in different bandwidths.
Performance testing is critical to ensuring the stability, scalability and reliability of your applications that your customers expect. To develope a comprehensive performance test strategy you need to involves selecting and executing the types of performance testing that are most relevant to your applications.
Performance testing is not “one size fits all”, it is a complex and multi-faceted test discipline; however, with an understanding of the major types of performance testing, you should develop a effective performance test approach.
Types of performance testing are stress testing, spike testing, load testing, endurance testing, volume testing, scalability test
This test pushes an application beyond normal load conditions to determine which components fail first. Stress testing attempts to find the breaking point of the application and is used to evaluate the robustness of the application’s data processing capabilities and response to high volumes of traffic.
This testing evaluates the ability of the application to handle sudden volume increases. It is done by suddenly increasing the load generated by a very large number of users. The goal is to determine whether performance will suffer, the system will fail, or it will be able to handle dramatic changes in load. This testing is critical for applications that experience large increases in number of users; for example, utility customers reporting power outages during storms. This can be considered a component of stress testing
The purpose of load testing is to evaluate the application’s performance under increasingly high numbers of users. Load, or increasing numbers of users are applied to the application under test and the results are measured to validate the requirements are met. This load can be the expected concurrent number of users on the application performing a specific number of transactions within the set duration. This test will give out the response times of all the important business critical transactions. If the database, application server, etc. are also monitored, then this simple test can itself point towards bottlenecks in the application software.
Endurance testing evaluates the performance of the system under load over time. It is executed by applying varying loads to the application under test for an extended period of time to validate that the performance requirements related to production loads and durations of those loads are met. Endurance testing can be considered a component of load testing and is also known as soak testing.
Also known as flood testing, this testing is used to evaluate the application’s ability to handle large volumes of data. The impact on response time and the behavior of the application are analyzed. This testing can be used to identify bottlenecks and to determine the capacity of the system. This type of performance testing is important for applications that deal with big data.
This testing is used to determine your application’s ability to handle increasing amounts of load and processing. It involves measuring attributes including response time, throughput, hits and requests per second, transaction processing speed, CPU usage, Network usage and more. Results of this testing can be used in the planning and design phases of development which reduces costs and mitigates the potential for performance issues.
Loadium is 100% compatible with JMeter Cloud Load Testing. That gives you several advantages. Loadium allows you to scale your JMeter tests to any size and see amazing reports.
Loadium works with both Apache JMeter and other open source platforms and plugins. And you can easily make testing part of your CI/CD environment with Jenkins and other platforms.