New Relic innovation at AWS re:Invent 2024

At this year’s re:Invent, we announced innovative new products and integrations that deepen our relationship with AWS and build upon our 105+ existing AWS integrations and integration between New Relic AI monitoring and Amazon Bedrock. These announcements contribute to our mission to eliminate digital interruptions with our Intelligent Observability Platform. 

We’re the only observability platform connected with Amazon Q Business to provide deep, intelligent insights and recommendations 

We announced that we’re teaming up with AWS to connect New Relic AI, our in-platform generative AI assistant, with Amazon Q Business, the AWS enterprise generative AI assistant for streamlining complex workflows. We’re the only observability platform connected with Amazon Q Business and go beyond a simple API data pull to provide deep, intelligent insights and recommendations. The collaboration merges Amazon Q Business’s built-in retrieval augmented generation (RAG) capabilities with our real-time monitoring and intelligence to help you quickly detect and resolve operational issues—such as application performance slowdowns, server malfunctions, and network bottlenecks. Now, anyone across your 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.

“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—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 and automate observability workflows to drive faster operations.”

Centralizes critical observability insights to streamline workflows, break down team silos, and automate incident response 

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.” 

Natural language allows any user to query and resolve issues with intelligent recommendations 

New Relic AI and Amazon Q Business work together to enhance enterprise productivity. We bring 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 connected 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 the Amazon Q Business: Eliminate the need to switch between the New Relic and Amazon Q Business interfaces—enabling faster problem resolution. 
• Agentic orchestration: Coordinate and automate research and incident response tasks with Amazon Q Business and New Relic AI to eliminate human toil, prevent human error, and enforce best practices.

One-step observability for AWS to deliver automatic instrumentation and insights

We deliver the industry’s best AWS observability solution with the launch of one-step observability for AWS to address the key monitoring challenges enterprises face when managing AWS environments. Our solution enables enterprises to onboard AWS services in one simple step. Once on-boarded, the New Relic Intelligent Observability Platform automatically instruments application performance monitoring (APM) with AWS services, eliminating the need for additional configurations. We provide AI-strengthened insights and out-of-the-box dashboards and insights in a single user interface to manage AWS services faster. This ultimately speeds up incident resolution and improves developer productivity. 

Enterprises face challenges when it comes to setting up AWS monitoring at enterprise scale. Managing application uptime and cloud costs, gathering telemetry data, setting performance thresholds, and creating dashboards for up to hundreds of AWS resources is a complicated and multi-step process that creates significant operational overhead. Enterprises need a way to collect and analyze all their AWS resources in a single platform. 

Competitive solutions require enterprises to manually tag to correlate their data across applications, infrastructure, and AWS services, which is time-consuming and error-prone. If they don’t manually tag, they’re unable to get the insights they need to resolve issues quickly. Unlike other solutions, our platform automatically correlates performance data across applications and AWS infrastructure without the need for tagging, eliminating blindspots and accelerating teams’ response times.

With one-step observability for AWS, you can understand your entire AWS environment on a single platform with automatic relationship mapping and correlation across applications, infrastructure, and AWS services, and leverage AI-powered anomaly detection to resolve performance issues faster. 

Key capabilities include: 

• 3x faster instrumentation: Provides automatic instrumentation for logs and metrics with CloudFormation templates, efficient multi-account onboarding in a single workflow, agentless EC2 monitoring, and a single UI for their entire AWS environment.
• AI-powered out-of-the-box dashboards: Our Intelligent Observability Platform enables immediate troubleshooting with out-of-the-box dashboards that automatically map the relationships across all AWS resources (including applications, infrastructure, and services) and correlates performance without the need for tagging.
• Deep integration with AWS Services: We continue to strengthen our partnership with AWS by adding EC2 Builder and EKS Hybrid nodes to our 105+ existing AWS integrations. We offer instant insights into AWS services, including Lambda Functions, Kubernetes (EKS), and Amazon Bedrock , so teams can maintain uptime while developing cloud-native applications at scale.

Democratize observability with New Relic AI: Users of any role or level of expertise can easily access insights and understand where action needs to be taken, through natural language prompts.