New Relic announced it is connecting New Relic AI, its in-platform generative AI assistant, into Amazon Q Business, AWS’ enterprise generative AI assistant for streamlining complex workflows.
By connecting New Relic’s Intelligent Observability Platform with Amazon Q Business, New Relic goes beyond a simple API data pull to provide deep, intelligent insights and recommendations. The collaboration integrates Amazon Q Business’ built-in retrieval augmented generation (RAG) capabilities with New Relic’s real-time monitoring and intelligence to help enterprises quickly detect and resolve operational issues—such as application performance slowdowns, server malfunctions, and network bottlenecks. Now, anyone across an enterprise organization can detect, understand, and address issues, and receive intelligent recommendations to inform escalation decisions—all within Amazon Q Business. This enables more intelligent, faster, and cost effective business operations for enterprises.
“Enterprises are focused on unlocking the value of their data, leveraging the potential of AI, and driving business growth,” said New Relic CEO Ashan Willy. “New Relic is built to support agentic AI systems. We are the only intelligent observability platform to enable AI agent to AI agent integrations, or agentic orchestration. This allows us to go beyond simply bringing your observability data into other AI applications—we unlock the full power of our AI-strengthened platform with intelligent recommendations so any user can automate observability workflows to drive faster operations.”
Business interruptions can severely impact revenue and customer experience, especially during high-traffic periods. With data scattered across tools and knowledge sources, switching tools can lead to missed service level agreements (SLAs), confusion, and slow incident mitigation, which can prolong incidents and increase operational costs. By analyzing complex data and centralizing critical observability insights and actions into one interface, the two powerful AI systems break down team silos, streamline workflows, accelerate time to resolution, and automate incident response.
“Switching tools and context is one of the most painful problems enterprises face in modern incident response. Data and knowledge can end up in silos, making it hard to understand what your tools are telling you and when to escalate problems,” said New Relic Chief Product Officer Manav Khurana. “Together, New Relic and AWS are helping enterprises improve their business workflows and outcomes with AI. Bringing observability directly into the business application workflow is a game changer for gaining fast insights and intelligent recommendations on complex data so you can troubleshoot in real-time.”
New Relic AI and Amazon Q Business now work together to enhance enterprise productivity. New Relic brings real-time production data like errors, logs, traces, security vulnerabilities, and alerts directly into Amazon Q Business experiences and workflows. All information and insights are presented directly within the Amazon Q Business interface, eliminating switching tools between New Relic and Amazon Q Business. By providing a unified interface for querying and resolving issues, the solution empowers the entire team to maintain and improve digital services, regardless of their technical expertise.
Key features include:
- Natural language unlocks access for any user: Leverage natural language to access information, generate summaries, and complete tasks securely based on information in enterprise systems—lowering the barrier to entry for resolving issues and speeding up resolution.
- Real-time service analysis and intelligent recommendations: Query specific services, hosts, and system components for performance insights drawn from current performance data and compare it against historical trends and best practices—providing detailed insights and actionable recommendations based on the latest production environment information.
- Alert intelligence reporting: Package sophisticated insights and intelligent recommendations based on deep analysis into the health of an application–preventing or reducing negative business impacts from incidents.
- View information and insights directly within Amazon Q Business: Eliminates the need to switch between the New Relic and Amazon Q Business interfaces, enabling faster problem resolution.
- Agentic orchestration: Amazon Q Business and New Relic AI coordinate to automate research and incident response tasks. This helps eliminate human toil, prevent human error, and enforce best practices.
This announcement builds upon New Relic’s deep relationship with AWS and adds to its more than 105 existing AWS integrations and integration between New Relic AI monitoring and Amazon Bedrock.
New Relic AI is available as a plugin for Amazon Q Business.
The Latest
Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...
Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...
Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...
The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...
In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...
In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ...
The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...
On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...
Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...
Poor DEX directly costs global businesses an average of 470,000 hours per year, equivalent to around 226 full-time employees, according to a new report from Nexthink, Cracking the DEX Equation: The Annual Workplace Productivity Report. This indicates that digital friction is a vital and underreported element of the global productivity crisis ...