Compare Azure Load Testing vs. NeoLoad

Assist developers and testers in creating extensive load simulations and executing tests with a completely managed load-testing solution designed for Azure. You can quickly set up tests without needing expertise in load-testing tools or simply upload your pre-existing Apache JMeter scripts. This service provides valuable insights into performance, scalability, and capacity, facilitating ongoing enhancements through automated continuous integration and continuous delivery (CI/CD) processes. By monitoring how a significant load impacts your application's performance, you can fine-tune its scalability and capacity. Obtain in-depth, actionable insights and suggestions from a well-rounded perspective of tailored client and server metrics, allowing you to comprehend and enhance app performance on a large scale—all available on one unified dashboard. Additionally, you can visually compare different load tests to evaluate the impact of application and environmental modifications, alongside how these tests influence every component of your app. This comprehensive approach ensures that your application is not only resilient but also primed for future growth and efficiency.

Software for continuous performance testing to automate API load and application testing. For complex applications, you can design code-free performance tests. Script performance tests in automated pipelines for API test. You can design, maintain, and run performance tests in code. Then analyze the results within continuous integration pipelines with pre-packaged plugins for CI/CD tools or the NeoLoad API. You can quickly create test scripts for large, complex applications with a graphical user interface. This allows you to skip the tedious task of manually coding new or updated tests. SLAs can be defined based on the built-in monitoring metrics. To determine the app's performance, put pressure on it and compare SLAs with server-level statistics. Automate pass/fail triggers using SLAs. Contributes to root cause analysis. Automatic test script updates make it easier to update test scripts. For easy maintenance, update only the affected part of the test and re-use any remaining.