New Relic, the comprehensive observability platform, has announced the general availability of its evolved AI monitoring features, designed to meet the dynamic demands of organisations developing AI applications. This suite of advanced functionalities aims to aid continuous improvements in AI application performance, quality and cost-effectiveness while firmly upholding data security and privacy standards. With over 60 integrations, New Relic AI monitoring is positioned as an all-inclusive solution to assist organisations in swiftly identifying the root causes of AI application issues, propelling their adoption of AI and supporting them throughout their AI journey.
According to Arnie Lopez, Chief Customer Officer of New Relic, every company is contemplating how to proliferate their business using AI. He said, "The adoption of AI can be costly and introduce complexity into their stack. IT and technology leaders are turning to New Relic because observability is essential to help them confidently navigate the exciting future of AI, optimise performance and quality, and control costs, thereby delivering exceptional customer experiences."
Peter Marelas, Chief Architect at New Relic, APJ, expressed that organisations in the Asia Pacific sphere are thrilled about the efficiency and productivity boost AI promises to their IT teams. He said, “New Relic Monitoring is set to propel organisations into the next chapter of their AI journey, with complete visibility of their stack that enables IT teams to deliver quality and reliability."
As revealed by Gartner, by 2026, over 80% of businesses will have utilised generative AI APIs or launched generative AI-enabled applications. Despite a robust and growing demand for AI, organisations struggle to incorporate AI within their tech stacks due to the intricacies it introduces. New Relic AI monitoring addresses this challenge head-on, simplifying this process for organisations by providing a consolidated view of their entire AI ecosystem along with the rest of their performance data.
New Relic AI monitoring offers key features, which include auto-instrumentation for popular frameworks like OpenAI, AWS Bedrock, and LangChain; full AI stack visibility, covering the application, infrastructure, and the AI layer; AI response view with end-user feedback for swift identification of AI response trends and outliers; deep trace insights for every response; enhanced data security to uphold organisational security and compliance by excluding sensitive data in AI requests and responses from monitoring; model comparison for optimising performance and cost, and more than 60 quickstart integrations for pivotal components like NVIDIA GPUs and vector databases like Pinecone and Weaviate.
New Relic's evolved AI monitoring features represent a significant step forward in assisting organisations with the complexities of developing and managing AI applications. With a comprehensive suite of functionalities designed to optimise performance, quality, and cost-effectiveness, New Relic AI monitoring offers a valuable solution for organisations navigating the challenges of AI adoption. Its availability as part of the all-in-one observability platform and a usage-based pricing model ensures accessibility and affordability for organisations of all sizes.