Best Load Testing Tools for Amazon Web Services (AWS)

A seamless experience across different types of tests. Reuse the same test scripts whether you are testing a web app across thousands of browser, OS, and device combinations, validating your APIs functionality, or running huge load tests. Enterprise-ready SaaS platform hosted by Testable in the cloud. Run your tests in the cloud or on-prem using your favorite open-source tools and let us handle the test execution, real-time reporting, analysis, and storage securely in the cloud. Securely host our testing platform on your own infrastructure behind your firewall. Modern, scalable, flexible packaging options including our one-click Kubernetes Helm package. Run your functional test on multiple browser, OS, and device combinations as part of a single test run. View a real-time report that includes live interactive sessions and videos for each virtual user, screenshots, assertions, performance metrics, trend analysis, and more.

Open Architecture for Building and Running Load Tests. Need to quickly load test a home page, a single URL within your site, or even a mobile API endpoint. We allow you to compose simple tests and then scale them to tens of thousands of users within a few minutes. Apache JMeter, Gatling, Selenium, and WebDriver are more than just open source tools we enable in cloud load testing, they are vibrant communities with deep knowledge and products built on what real users need. Open load tests give you the flexibility of writing load tests in languages and utilities you use every day. You can write custom tests in Python, PHP or Node.js. We provide an open, easy, and cheap way for load testing. We achieve this with an open architecture which provides tuning and control to setting up the cloud load agents.

Appvance IQ (AIQ) delivers transformational productivity gains and lower costs in both test creation and execution. For test creation, it offers both AI-driven (fully machine-generated tests) and also 3rd-generation, codeless scripting. It then executes those scripts through data-driven functional, performance, app-pen and API testing — for both web and mobile apps. AIQ’s self-healing technology gives you complete code coverage with just 10% the effort of traditional testing systems. Most importantly, AIQ finds important bugs autonomously, with little effort. No coding, scripting, logs or recording required. AIQ is easy to integrate with your current DevOps tools and processes. Appvance IQ was developed by a pioneering team who envisioned a better way to test. Their innovative vision has been made possible by applying differentiated, patented AI methods to test creation while leveraging today’s high-availability compute resources for massive levels of parallel execution.

Anchored in artificial intelligence (AI) and machine learning (ML), Parasoft SOAtest simplifies the complexity of functional testing across APIs, UIs, databases, and more. Change management systems continuously monitor quality, making the API and web service testing tool a perfect fit for Agile DevOps environments. Parasoft SOAtest delivers fully integrated API and web service testing tools that automate end-to-end functional API testing. Streamline automated testing with advanced functional test-creation capabilities for applications with multiple interfaces (REST & SOAP APIs, microservices, databases, and more). The tools reduce the risk of security breaches and performance outages by transforming functional testing artifacts into security and load equivalents. Such reuse, along with continuous monitoring of API for change, allows faster and more efficient testing.

Perform More Testing in Less Time to Meet Performance Demands Hiperstation provides automated load, performance and regression testing capabilities that help DevOps teams perform more testing in less time and on a more consistent basis while ensuring applications meet production performance and reliability criteria. Hiperstation enables developers to create automated, consistent, repeatable regression and performance tests representing application business requirements. Conduct pre-production performance testing for applications and systems software. Analyze test results in which all application response differences are identified. Thoroughly document mainframe application testing results. Simulate server application responses during a user interface test. Test operating system, language environment or subsystem changes. Test application changes without a user interface.