New Relic, a comprehensive observability platform, announced the general availability of advanced AI monitoring capabilities designed to meet the dynamic demands of organizations developing AI applications. This suite of advanced features is designed to help you continuously improve the performance, quality, and cost-effectiveness of your AI applications while maintaining strong data security and privacy standards. With over 60 integrations, New Relic AI Monitoring is positioned as a comprehensive solution to help organizations quickly identify the root cause of AI application issues, accelerate AI adoption, and support overall AI initiatives. I am.
According to Arnie Lopez, chief customer officer at New Relic, every company is considering how to use AI to grow their business. “Deploying AI can be costly and add complexity to the stack,” he said. “IT and technology leaders are turning to New Relic to build confidence in the exciting future of AI.” “Observability is essential to survive, optimize performance and quality, and control costs.” This provides a great customer experience. ”
Peter Marelas, chief architect at New Relic (APJ), said organizations in Asia Pacific are excited about the efficiency and productivity gains that AI promises for IT teams. He said, “New Relic Monitoring will propel the organization into the next chapter of his AI journey by giving IT teams complete visibility into the stack that can deliver quality and reliability.” I did.
As revealed by Gartner, by 2026, more than 80% of enterprises will utilize generative AI APIs or launch generative AI-enabled applications. Despite the robust and growing demand for AI, organizations struggle to incorporate it into their technology stacks due to the complexity it brings. New Relic AI Monitoring tackles this challenge head-on and simplifies this process for your organization by providing a unified view of your entire AI ecosystem and remaining performance data.
New Relic AI Monitoring provides key features including automated instrumentation for popular frameworks such as OpenAI, AWS Bedrock, and LangChain. Complete AI stack visibility covering application, infrastructure, and AI layers. AI response views with end-user feedback to quickly identify trends and outliers in AI responses. Detailed trace insight into every response. Enhanced data security to keep your organization secure and compliant by excluding sensitive data in AI requests and responses from monitoring. Model comparison to optimize performance and cost, and over 60 quickstart integrations for critical components like NVIDIA GPUs and vector databases like Pinecone and Weaviate.
New Relic's advanced AI monitoring capabilities represent a significant step forward in helping organizations address the complexities of developing and managing AI applications. With a comprehensive suite of features designed to optimize performance, quality, and cost-effectiveness, New Relic AI Monitoring provides a valuable solution for organizations addressing AI implementation challenges. Masu. Availability as part of an all-in-one observability platform and usage-based pricing model ensure accessibility and affordability for organizations of all sizes.
