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Locust - Scalable user load testing tool written in Python.Locust is completely event-based, and therefore it's possible to support thousands of concurrent users on a single machine.Octo Perf - Commercial Saas online platform load testing service for web and mobile applications. Apica Loadtest - Offers flexible self service and full service load testing able to test 2MM concurrent users, through a network of 50 locations around the world.Key features include: Record Virtual User, design realistic virtual users, run scenario from multiple locations (Europe, USA and more), analyze bench reports to find performance bottlenecks. Test on demand or automate testing throughout development lifecycles.The tool is useful in scenarios where the requests have high response times.Many existing tools are developed for scenarios with high request rate and quick response times, and fail to keep up with load generation when server response times are high, as the number of outstanding requests becomes very large .Easily integrated into existing Dev stacks using partnership integrations and REST API.

Build and deploy test scripts in minutes with on-demand, pay-as-you-go pricing.Load and Performance Test Tools Page Speed Testing Tools Mobile Web/App Testing Tools Visual Regression Testing Tools Link Checkers HTML Validators Web Accessibility Testing Tools Web Services Test Tools Note: Categories are not well-defined and some tools could have been listed in several categories; the 'Web Site Management Tools' category includes products that contain: site version control tools, combined utilities/tools, server management and optimization tools, and authoring/publishing/deployment tools that include significant site management or testing capabilities.Suggestions for category improvement are welcome; see bottom of this page to send suggestions.Can be used to stress HTTP, Web DAV, SOAP, Postgre SQL, My SQL, LDAP and Jabber/XMPP servers. OS monitoring (CPU, memory and network traffic) using SNMP, Munin or Erlang agents on remote servers.XML configuration system; several sessions can be used to simulate different type of users. User think-times and the arrival rate can be randomized using a probability distribution.

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