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ManageEngine site 24x7 unveils open observability integration for enhanced performance m

Enabling businesses with comprehensive visibility into OpenAI usage, cost, and performance metrics for improved performance and user experiences

ManageEngine, the enterprise IT management division of Zoho Corporation, today announced that it has newly added OpenAI observability as a native capability to Site24x7, its comprehensive cloud-based observability platform. The offering enables application owners to monitor the utilisation of different OpenAI models seamlessly while tracking real-time performance and cost metrics — all within a unified view. This powerful capability empowers businesses to leverage the potential of emerging AI technologies, such as OpenAI's ChatGPT, to drive innovation and achieve their strategic objectives while being cost-conscious.

As organisations increasingly embrace OpenAI's latest generative AI model and explore the potential of ChatGPT across multiple teams, gaining a comprehensive understanding of user interactions with GPT-powered applications becomes crucial. This understanding enables the identification of valuable opportunities to optimise models and enhance user experiences. Additionally, closely monitoring API usage and token consumption becomes essential to managing costs and enhancing overall application performance.

"As the demand for OpenAI's GPT-4 model continues to soar, companies are compelled to reimagine and revamp their existing service landscapes to enhance the user experience," said Srinivasa Raghavan, director of product management for Site24x7. "Observability emerges as a transformative force, empowering companies to get the most out of GPT. Our commitment to enabling organisations to use GPT APIs is reflected in our efforts to provide effortless setup, cost and performance monitoring. We aim to ensure that efficiency and effectiveness remain at the forefront of our AI-driven IT operations management solution."

The Site24x7 openAI observability module automatically tracks and analyses various metrics related to openAI usage, such as token usage, latency and errors. It is easy to integrate into applications that use openAI modules and leverage the platform's built-in alerting system to take quick actions on malfunctions.