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QEngine - Load Testing and Functional Testing Tool |
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AdventNet QEngine is a test automation tool which supports load testing and functional testing for Web Applications. It also provides out of the box support for testing SOAP Web Services.
AdventNet QEngine for Load Testing helps ensure, your 'N' Tier enterprise applications can meet heavy user loads during peak hours and have high uptime in production. It helps meet end user service levels and empowers you to successfully roll out business applications in to production by proactively load testing the application.
QEngine performance testing can help you identify bottlenecks in your application code and eliminate them proactively. After performance testing is completed, Load Testing can help identify inventory requirements and help you decide whether its best for you to scale vertically (adding high end servers) or horizontally (adding more web servers, databases etc).
Optimize Applications
Ensure your 'N' Tier Web Applications can scale for 1000s of Users by Load Testing.
Predict inventory requirements.
Prevent failure in production.
Performance tune application servers & databases.
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Web Technologies
Load Testing : J2EE, .NET, AJAX, PHP, Ruby on Rails, SOAP Web Services etc.
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Real Browsing Scenarios
Capture real application usage scenarios or business processes and ensure complete testing.
Example :
User Registration - 5%
Viewing Reports - 45%
Summary Dashboards - 50%
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Diagnose Problems
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Key Highlights
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Proven and Trusted
Find out Why
Sony Electronics ,
eSchool Solutions,
Independent Health,
Onyx Software and others chose QEngine.
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 Blog : Goal of Performance Testing |
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The goal of performance testing is not finding bugs, but to remove the bottlenecks from the application and improve the efficiency. Before doing a performance testing we basically need to know the following : 1. Expected no of concurrent users or HTTP connections with your application. 2. Acceptable response time for your pages. For performance tuning basically we have two approaches. Code Analysis: We can search for poor algorithms or looping which is the reason for inefficiency. Database Analysis: We can use query optimizers and profilers to optimize the database...... Read full blog.
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