Load testing:Load testing is conducted to verify that your application can meet your desired performance objectives; these performance objectives are often specified in a service level agreement (SLA). A load test enables you to measure response times, throughput rates, and resource-utilization levels, and to identify your application’s breaking point, assuming that the breaking point occurs below the peak load condition.
purpose:To verify application behavior under normal and peak load conditions.
Stress testing – involves testing an application under extreme workloads to see how it handles high traffic or data processing .The objective is to identify breaking point of an application
purpose:To verify application behavior under normal and peak load conditions.
Stress testing – involves testing an application under extreme workloads to see how it handles high traffic or data processing .The objective is to identify breaking point of an application
Purpose:To determine or validate an application’s behavior when it is pushed beyond normal or peak load conditions.
Endurance testing – is done to make sure the software can handle the expected load over a long period of time.
Spike testing – tests the software’s reaction to sudden large spikes in the load generated by users.
Spike testing – tests the software’s reaction to sudden large spikes in the load generated by users.
Volume testing – Under Volume Testing large no. of. Data is populated in database and the overall software system’s behavior is monitored. The objective is to check software application’s performance under varying database volumes.
Scalability testing – The objective of scalability testing is to determine the software application’s effectiveness in “scaling up” to support an increase in user load. It helps plan capacity addition to your software system.
Capacity testing:Capacity testing is conducted in conjunction with capacity planning, which you use to plan for future growth, such as an increased user base or increased volume of data. For example, to accommodate future loads, you need to know how many additional resources (such as processor capacity, memory usage, disk capacity, or network bandwidth) are necessary to support future usage levels.
Capacity testing helps you to identify a scaling strategy in order to determine whether you should scale up or scale out.
Scalability testing – The objective of scalability testing is to determine the software application’s effectiveness in “scaling up” to support an increase in user load. It helps plan capacity addition to your software system.
Capacity testing:Capacity testing is conducted in conjunction with capacity planning, which you use to plan for future growth, such as an increased user base or increased volume of data. For example, to accommodate future loads, you need to know how many additional resources (such as processor capacity, memory usage, disk capacity, or network bandwidth) are necessary to support future usage levels.
Capacity testing helps you to identify a scaling strategy in order to determine whether you should scale up or scale out.
Purpose:To determine how many users and/or transactions a given system will support and still meet performance goals.