Performance Testing Software

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Performance Testing Software

  • Infrastructure and application monitoring for Azure Infrastructure and application monitoring for Azure Icon
    Infrastructure and application monitoring for Azure Icon

    Monitor your Azure® infrastructure, application, and systems performance side by side in a single enterprise-monitoring tool

    So, you moved your applications and servers to Azure, but are they running any better and are you able to justify the investment? Without proper monitoring, you’re left guessing if application and server performance has improved, and when issues arise, you’re left scrambling to locate the root cause. SolarWinds® Server & Application Monitor (SAM) can monitor your Azure workloads side by side with your on-premises workloads to help ensure optimal application performance.
  • The Sight of Sound The Sight of Sound Icon
    The Sight of Sound Icon

    ­ Improve VoIP Visibility from SIP to RTP

    Cloudbased voice solutions are common in enterprise networks and frustrating for operations teams to manage. Simplify VoIP monitoring by having a proactive analysis of on-prem, hybrid and UCaaS voice services. Try the ThousandEyes VoIP monitoring solution today, free.
  • Marathon - GUI Acceptance Test Runner Icon

    Marathon - GUI Acceptance Test Runner

    Supports Java/Swing, JavaFX applications for GUI Testing

    Marathon runs GUI Testing against Java/Swing and Java/FX applications. Marathon provides an integrated environment for test script creation and execution. Currently, Marathon supports JRuby script models for recording the test scripts.Marathon test runner generates Allure test reports.Marathon allows for grouping of test cases.It also has an option of inserting modules while recording(in MarathonITE while recording). It allows tester to inset checklist while recording and also takes screen capture and annotate it in playing the test cases. Extraction of code into modules and inserting it is very easy using marathon.It has different themes of UI which attracts tester to do work on it. Object mapping is quite simple and configuring is very easy for tester to understand and do the work. Debugging of test scripts is also easy and has script console which takes selenium commands. Slow play of test cases is also available.It allows to create multiple fixtures for different types of tests.

  • ContiPerf

    In order to assure software performance, software needs to be tested accordingly as early as possible - only weaknesses diagnosed early can be assessed quickly and cheaply. ContiPerf enables performance testing already in early development phases and in an easy-to-learn manner: A developer writes a performance test in form of a JUnit 4 test case and adds performance test execution settings as well as performance requirements in form of Java annotations. When JUnit is invoked by an IDE, build script or build server, ContiPerf activates, performs the tests and creates an HTML report. The report provides a detailed overview of execution, requirements and measurements, even providing a latency distribution chart. A large feature set for execution settings and performance requirements is available, e.g. Ramp up, warm up, individual pause timing, concurrent exection of test groups and more.

  • Java/C Comparative Benchmarks

    Java and C Comparative Performance Benchmarks

    A collection of software benchmarks developed to compare the performance of Java with C on identical code. No language libraries were used to avoid implementation differences. Some of the benchmarks are also implemented in Python and Scala. There are benchmarks for bit twiddling, numerical computing, data structure manipulation, concurrent computing, callouts to native libraries, and, graphics processing units (GPU) utilization.

  • Poor Man's Timing And Profiling

    Library tools to collect timing in Java, C, C++

    A collection of library code and tools for application execution profiling and performance testing. You can create stopwatches to time select portions of your code. You can measure differences (often to sub-millisecond accuracy) between clocks on different machines. You can log application events in a .csv format for subsequent analysis. You can also generate CPU loading logs in a .csv format.

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