Performance Testing with Apache JMeter
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Questions and Answers

What is a common challenge mentioned in the text about performance testing?

  • Having too many users access the system
  • Predicting system resources accurately
  • Evaluating only at the unit level
  • Lacking representation in the test environment (correct)
  • Why is performance testing considered hard according to the text?

  • The simplicity of creating a baseline
  • Due to the lack of importance given by companies
  • The ease of identifying performance problems
  • The variability in system resources and response time (correct)
  • What is an essential aspect of capacity planning in system testing?

  • Creating a baseline with one user
  • Storing all data in memory
  • Ensuring unlimited disk space
  • Measuring system resources and response time with increasing users (correct)
  • In what stage of testing can performance issues be investigated, as mentioned in the text?

    <p>At both integration and system levels</p> Signup and view all the answers

    What is a recommended action after analyzing the results of a performance test?

    <p>Asking questions related to system resources and response time correlation</p> Signup and view all the answers

    What is emphasized as a critical non-functional requirement of most computer systems?

    <p>Performance factors</p> Signup and view all the answers

    Why is representativeness of the test environment considered key in performance testing?

    <p>To accurately simulate real-world conditions</p> Signup and view all the answers

    What is mentioned as a step to undertake when creating a baseline in system testing?

    <p>Accessing the system at various points in a day only</p> Signup and view all the answers

    What is one factor mentioned in the text that contributes to performance testing being hard?

    <p>Frequent changes in user requirements</p> Signup and view all the answers

    What role does capacity planning play in performance testing according to the text?

    <p>Determining if the application can handle anticipated load levels</p> Signup and view all the answers

    Study Notes

    Automation Tools for Performance Testing

    • Apache Jmeter is an open-source application written in Java, widely used for performance testing.

    When to Perform Performance Testing

    • During design and development to determine performance requirements
    • After functional testing, before release to ensure the system is reliable enough for production
    • Post-deployment to identify causes of reported performance degradation

    Why Performance Testing is Important

    • To determine if the system can handle the target load and ensure hardware sufficiency
    • To ensure the system is fast and responsive enough to meet customer expectations
    • To avoid costly application failures and redesign software architecture
    • To assure performance and functionality under real-world conditions
    • To locate potential problems before customers do and reduce infrastructure costs

    Types of Performance Testing

    • Application response times: measuring the time taken to complete a task
    • Configuration sizing: determining the best configuration for optimal performance
    • Capacity planning: determining the number of users the system can handle

    Investigating Performance Problems

    • Identify shared resources causing contention, often in database applications
    • Redesign the application to circumvent the issue
    • Ensure the test environment is representative of production operation

    Business Advantages of Performance Testing

    • Protect revenue by isolating and fixing problems in the software infrastructure
    • Improve availability, functionality, and scalability of business-critical applications
    • Ensure products are delivered to market with high confidence in system performance
    • Decrease costs of production support and help desk

    Pitfalls of Performance Testing

    • Avoid hitting cache stores in browser, DB, and file system by flushing or restarting them
    • Create test data with high randomness to avoid customized data
    • Avoid time averaging by taking data at various times in a day, month, and year
    • Ensure automated scripts represent real users by slowing down the scripts to account for "think time"

    Website Performance Testing

    • Determine the system's performance level when requirements are not clear
    • Create a baseline with one user accessing the system and its workflows
    • Measure system resources and response time with varying numbers of users
    • Analyze results to identify correlations between system resources and response time

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    Description

    Learn about performance testing using Apache JMeter, an open-source tool written in Java. Understand when to conduct performance testing during design, development, post-deployment, and the main components involved in the process.

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