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Load testing vs performance testing
- Load testing, performance testing, and stress testing are often confused but have distinct purposes in testing applications under realistic conditions.
- Performance testing encompasses load, stress, spike, and soak testing to evaluate how systems behave in various scenarios.
- Load testing, a subset of performance testing, focuses on simulating expected user volume and traffic patterns.
- Performance testing evaluates speed, scalability, and stability across different conditions, integrating throughout the software development lifecycle.
- Load testing validates behavior under normal and peak usage conditions, answering critical questions about system capacity and response times.
- Successful teams integrate performance testing throughout the development process, catching issues early and ensuring reliability under various conditions.
- Performance testing scenarios should mirror actual user behavior and system architecture, combining business-critical user journeys with technical validation.
- Gatling, a tool supporting multiple protocols, simplifies load testing with a no-code test builder and can be integrated into CI/CD pipelines.
- Global scale capabilities, reliable results, cost management features, and reduced operational overhead make Gatling ideal for modern DevOps teams.
- Gatling offers a seamless transition from the no-code approach to script-based testing in Java, JavaScript, Kotlin, or Scala for automated performance testing.
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