Podcast Beta
Questions and Answers
What is the default address to access the Locust interface?
What is the primary purpose of the spawn rate in load testing?
What is the result of clicking 'Start Swarming' in the Locust interface?
What information is provided in real-time during a load test?
Signup and view all the answers
What is the purpose of defining the host URL in the Locust interface?
Signup and view all the answers
What happens if you specify a spawn rate of 10 users per second and you want to simulate a total of 100 users?
Signup and view all the answers
What is the total users parameter in Locust?
Signup and view all the answers
What is the purpose of the Locust web interface?
Signup and view all the answers
What is the outcome of simulating a large number of users on an application?
Signup and view all the answers
What is the benefit of using Locust for load testing?
Signup and view all the answers
Study Notes
UI Testing
- Focuses on verifying interactions between the User Interface (UI) and backend APIs
- Ensures the UI displays correct data received from the API
- Confirms the UI correctly sends requests to the API when a user performs an action
- Checks that the API responds appropriately to these requests and the UI correctly handles the responses
Testing Scenarios
- Valid Operations: Testing UI actions that are expected to work
- Error Handling: Testing how the UI displays error messages when an API call fails
- Dynamic Interactions: Testing dynamic content, such as loading data without a full page refresh
Tools and Methods
- Automated Testing Frameworks: Tools like Selenium, Cypress, or Appium automate UI tests by simulating user interactions
- Manual Testing: Human testers interact with the UI to identify issues that automated tests might miss
UI Testing Scenario
- Write tests that interact with the web pages as a user would
- Use Selenium WebDriver to automate browser actions like clicking, typing, and navigating
- Create a fixture in pytest to initialize and tear down the WebDriver
- Use driver.find_element(By.XXX, 'value') to locate elements
- Use methods like send_keys() to type into fields and click() to click buttons
- Use assertions to verify the UI behaves as expected
Load Testing
- Evaluates the behavior and performance of a system under a specific expected load
- Identifies the maximum operating capacity of an application and bottlenecks
- Determines if the system can sustain the expected load over a prolonged period
Purpose of Load Testing
- Assesses scalability
- Identifies bottlenecks
- Evaluates stability and endurance
- Verifies compliance with performance goals and service level agreements (SLAs)
Key Components of Load Testing
- Virtual Users (VUs): Simulated users that interact with the system
- Workload Model: A representation of the expected load on the system
- Test Scenarios: Specific user paths and interactions with the system tested under load
- Metrics and KPIs: Key performance indicators like response time, throughput, error rates, and resource utilization metrics
Process of Load Testing
- Planning: Define objectives, scope, environment, tools, and success criteria
- Design: Create test scenarios that realistically mimic user behavior and workload expectations
- Environment Setup: Configure the test environment to replicate the production setting
- Execution: Run the tests, monitor the system, and gather data
- Analysis: Analyze the results to identify performance issues, bottlenecks, or deviations from the expected outcomes
- Optimization: Make necessary optimizations or changes to the system
- Retesting: Re-run tests to confirm the changes have had the desired effect on system performance
Tools for Load Testing
- Apache JMeter: An open-source Java application for load testing and measuring performance
- Locust: An open-source load testing tool where you define user behavior with Python code
- Gatling: A powerful open-source load and performance testing tool designed for ease of use
Load Testing Scenario
- Simulate multiple users attempting to register at the same time
- Use Locust to define user behavior with Python code and swarm the system with millions of simultaneous users
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Description
Learn about UI testing in API testing, a quality assurance practice that verifies interactions between the UI and backend APIs.
