Bahaa Abdul Zubaidi observed that downtime of systems can have a crippling effect on organizations that rely on computer systems. This is why system performance testing is very important since it helps assess how a system performs under different workloads. We discuss all about system performance testing in this guide.

Performance Testing

Performance testing of a system helps in testing the speed, stability, scalability, and responsiveness of software. It helps to review indicators like:

  • Number of acceptable users concurrent.
  • Query processing time of the server.
  • Response times of browser, network, and page.
  • Memory consumption of CPU.
  • Type errors while using an app.

Benefits of performance testing

Performance testing offers many benefits, and Bahaa Al Zubaidi explains why it should be used.

  • It helps in measuring key indicators like speed, which helps to know how quick the app responds to the user. It helps in understanding if the app is stable during different loads. The accuracy of the app can also be measured in terms of delivering result desired.
  • Helps in identifying any discrepancies that can cause software failure. These can be resolved before the app is released preventing potential problems.
  • It enhances the optimization capability and load capacity. It allows apps to perform well even with higher number of concurrent users.
  • When performance is improved, it leads to enhanced customer satisfaction.

Types of Performance tests

  1. Load testing determines performance of the system when workload is increased. It can help detect potential bottlenecks.
  1. Stress testing identifies the point at which a system fails and also how it recovers after failure.
  1. Spike testing checks the behavior of an app when there is a spike in users. It helps know how well your app can handle sudden increase or decrease in workload.
  1. Volume testing determines system performance when database volumes are varied.

During the testing, there are certain key metrics that are measured.

  1. Response time indicates the time taken for the app to respond to a sent request.
  1. Throughput measures how many units the system can process at a given time.
  1. Memory is the storage space available.
  1. Bandwidth indicates data used in bits per second by the network interface.
  1. CPU interrupts per second measures hardware interrupts.

Process of performance testing

  1. The test environment is identified.
  1. The performance criteria is determined.
  1. Testers plan for the testing.
  1. Test environment is configured.
  1. Test design is implemented.
  1. The tests are executed and results recorded.
  1. Test results are analyzed and the software is adjusted accordingly. This is followed by retesting.

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