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    StormForge Launches VHS, Open Source Project for Quickly Creating Performance Tests by Recording Live Traffic

     

    StormForge, the leading company in cloud-native performance testing and Kubernetes optimization on December 16, 2020, announced VHS, a standalone open-source project intended for stimulating and boosting the invention of application performance and optimization tests along with rapidly developing Performance Tests by recording Live Traffic.

    About StormForge

    StormForge, previously known as Carbon Relay, is a leading firm in Kubernetes optimization and Performance Testing. It brings in world-class software engineers and data scientists to facilitate businesses to drive breakthrough IT and operations efficiency. The Platform is designed to assist DevOps teams to release with confidence and IT leaders to understand the promise of cloud-native – faster innovation with higher quality, efficiency, scalability, and resiliency. StormForge utilizes machine learning to drive major application performance gains and cost reductions in complicated environments in development.

    “VHS started as a project that filled a need related to our performance testing and optimization portfolio, namely, accurate load generation,” said Noah Abrahams, Open Source Advocate at StormForge. “Our mission as a company is to extend the concept of application performance from being a reactive mindset focused on operations teams, to a proactive, automatic and continuous process that includes and empowers the application developers themselves. Part of that mission is ensuring that developers in the community are not only aware that proactive solutions are available to them, but that they’re able to contribute and help build tomorrow’s application performance solutions.”

    The VHS project was established as there was a necessity to enhance procedures for recording and replaying application traffic in a plugin-based on any-to-any principle. VHS will assist in providing load generation that is aligned with real live production, ensuring that performance testing supports accurate real-time and predicted traffic rather than experienced guesses.

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