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OpenText Core Performance Engineering Analysis

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OpenText Core Performance Engineering Analysis is a cloud-native solution designed to streamline performance analysis by harnessing the power of cloud technology and artificial intelligence. It enables teams to process vast datasets swiftly, facilitating rapid root cause analysis and delivering actionable insights to enhance application performance. By integrating directly with raw performance data and application performance monitoring tools, it offers a comprehensive view across all application layers, ensuring accuracy and efficiency in performance investigations. Key Features and Functionality: - AI-Driven Analysis: Utilizes the Performance Engineering Aviator, an AI-powered virtual assistant, to provide conversational analysis. Engineers can interact using natural language to obtain summaries, identify trends, and investigate anomalies, accelerating the diagnostic process. - Real-Time Predictive Analytics: Offers instant visibility into performance metrics, enabling early detection of anomalies and bottlenecks, and providing a clear understanding of application behavior under various loads. - Scalable Cloud Load Testing: Simulates over 5 million virtual users across multiple cloud regions, including Amazon Web Services, Microsoft Azure, and Google Cloud Platform, to test application performance under real-world conditions without complex setups. - Collaborative Web Interface: Features a modern, user-friendly interface that allows multiple users to navigate, analyze data, and interpret results simultaneously, fostering seamless collaboration and data-driven decision-making. Primary Value and User Solutions: OpenText Core Performance Engineering Analysis addresses the challenges of traditional, time-consuming performance analysis methods by providing a fast, scalable, and intelligent solution. It empowers development and QA teams to detect and resolve performance issues early in the development cycle, ensuring applications can handle large data volumes with minimal latency. This leads to improved application stability, enhanced user experience, and accelerated time-to-market, ultimately boosting customer satisfaction and trust.

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