New Relic announced a series of platform innovations that connect technical performance to customer impact and business outcomes.
Led by Intelligent Workloads that automate the discovery of complex dependencies and align system health with business KPIs, New Relic monitors what matters to its customers in the AI era, empowering them to resolve incidents faster and quantify the direct impact of performance on revenue.
New Relic augments traditional APM metrics from all of an enterprise’s apps — including those built via AI — with business understanding by delivering a complete view of a customer’s digital journey and the organization’s third-party data.
“Companies that will thrive in the AI era understand that observability is no longer solely focused on systems performance. It’s now part of the business conversation,” said New Relic Chief Product Officer Brian Emerson. “For organizations, the risk is no longer just outages, it’s being blind to business impact. If teams can’t quickly and confidently answer what changed, how their customers were impacted, or how revenue was impaired, decisions slow down while risk quietly compounds. Drawing on our roots in APM, we’ve evolved monitoring to stay ahead of customer needs and directly align with business metrics.”
New Relic’s Intelligent Workloads automate the discovery and mapping of complex dependencies for a 360-degree view of performance, infrastructure, user impact and business outcomes. Leaders can move beyond "green or red" technical indicators and instead quantify exactly how service performance impacts KPIs like revenue, abandoned carts, and user experience. This context-aware observability enables teams to resolve incidents faster, manage modern transaction-oriented and agentic AI workloads with precision, and rapidly quantify the business impact of technical issues—transforming observability from a maintenance task into a strategic driver of service reliability and business growth.
New Relic has enhanced its Digital Experience Monitoring (DEM) solution to meet the monitoring needs of customers with micro front-end (MFE) architecture, where Web apps are broken down into smaller components and often managed by multiple developer teams. Customers can now monitor every component of their MFE architecture and collect metrics on performance timing, errors, renders and lifecycle methods in order to understand upstream/downstream relationships, effects and dependencies that impact the digital customer experience.
New Relic’s new capabilities for Agentic AI Monitoring include a service map of all interactions between agents, a concise view of agent performance (e.g., number of requests, average latency and error percentages) and a drill down into the trace of a called agent/tool, accelerating problem resolution and improving overall operational efficiency.
New Relic introduced several new intelligent platform capabilities:
- New Relic Lens: To understand the business impact of application performance issues, errors or the costs associated with a product or feature, one needs to combine observability data with data that lives in other systems such as Postgres, Snowflake, or in-house SQL databases. New Relic Lens allows users to connect and query multiple external data sources, all from within the New Relic UI. Users can combine, analyze and correlate telemetry and non-telemetry (e.g., business) data using sophisticated cross-database joins without ingesting the external data.
- Federated Logs: Enables teams to query data directly at its source, extracting full value and in-context insights without the need for custom schemas or re-ingestion. Using the Pipeline Control Gateway (PCG), logs stored in Amazon S3 storage are automatically processed and formatted, keeping raw data securely within local customer environments so engineers can access granular insights within the same UI, seamlessly integrated with the rest of the stack. This solution accelerates troubleshooting by eliminating manual toil and context switching, ensuring teams meet data residency mandates while maintaining 100% visibility for critical issue resolution.
- eBPF: Network Metrics: Provide lightweight kernel-level network visibility that complements APM, with zero instrumentation across application, infrastructure, and network layers. The granular Transmission Control Protocol (TCP) and Domain Name System (DNS) metrics, including handshake latency and DNS failures, address blind spots in troubleshooting. Process-level attribution ties network issues back to the originating process, speeding up root cause analysis.
- New Relic Notebooks: Designed to transform one-off queries into dynamic runbooks, New Relic Notebooks allow users to leverage variables to create adaptable, repeatable investigative flows that can be linked directly to alerts. By combining queries and visualizations with descriptions, teams can document every step of their process. As a saved document, New Relic Notebooks enable users to store their analytical workflows and easily share them with colleagues, making them an essential tool for collaborative knowledge transfer and post-mortem reviews.
- Homepage: Once the responding engineer has added data to the New Relic Notebook, they return to their Homepage — a personalized start page designed to eliminate context-switching. The intelligent Homepage provides a customizable workspace and an intelligent launchpad for accessing the platform capabilities, entities, dashboards and favorite items essential to daily work.
Intelligent Workloads are available as a preview for Transaction 360 users as part of the New Relic Intelligent Observability Platform. The other innovations are available as a preview to all users.
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