New Relic Now+ 2025: Guide to New Relic’s innovation announcements

At our first New Relic Now+, we announced 20+ new products, features, and integrations that enable your team to drive business uptime, engineering excellence, and digital experience monitoring (DEM). 

And, our new products — and every product across our platform — all include the industry’s most comprehensive intelligent recommendations, which integrate Retrieval Augmented Generation (RAG) from our platform with your own defined data and third-party sources so you can take immediate action. Our intelligence makes the New Relic Intelligent Observability Platform accessible and understandable so that any user across your organization can benefit.

In this post, we recap these and other announcements from our keynote at New Relic Now+ 2025. You can also read our other roundup posts for a deep dive on what’s new from New Relic and how we are driving these areas for our customers:

• Business Uptime
• Engineering Excellence
• Digital Experience 

Drive Business Uptime

To see all the innovations for Business Uptime, read the Business Uptime blog.

Agentic AI Integrations for ServiceNow and Gemini 

The high volume of tools, manual processes, and disconnected systems jeopardize business performance in today’s enterprise. Constantly switching between tools wastes time, drains energy, and increases the likelihood of errors and poor decisions. 

Only New Relic provides agentic integrations that extend business-critical observability insights into popular third-party platforms, such as ITSM/SDLC tools like GitHub Copilot, Amazon Q Business– and now introducing ServiceNow, and Gemini Code Assist. An open ecosystem of agent-to-agent orchestrations connected via natural language APIs enables users to automate research and complex tasks across ServiceNow and Gemini Code Assist workstreams, turning disparate data sets into business-critical insights.

• AI-powered productivity: New Relic agents connect to ServiceNow and Gemini Code Assist to automate and streamline processes.
• Intelligent, prioritized decisions: Intelligent orchestration prioritizes the right agent for the task, providing highly relevant and accurate response and recommendations.
• Eliminates context switching: Automates tasks and unifies essential insights for problem solving within a GenAI interface, delivering intelligence exactly where you work.
• User-defined context: Powerful New Relic retrieval-augmented generation (RAG) technology fueled by customer input (runbooks, Atlassian, documents, etc.) through Context Connector.

To learn more, visit the product webpage. 

Existing customers can sign up to preview this feature in product now. 

Predictions

Typically, observability alerts are triggered after a problem has occurred or a predefined threshold has been breached.This puts site reliability engineers (SREs) into a reactive mode to minimize the impact to their users—racing to prioritize signals and isolate root cause across vast amounts of performance data. 

New Relic AI-powered Predictions leverages machine learning (ML) algorithms to analyze historical data, identify patterns, and forecast time-series metrics within a singular pane, as opposed to various views or processes found among competing products. Users can instantly add Predictions to a New Relic Query Language (NRQL) query to conduct ad hoc predictions on a given data set or as an alert condition that looks ahead for early warning signs of a problem.

• Intuitive and streamlined: ML algorithms analyze historical data, identify patterns, and forecast time-series metrics for instant insights within a singular, simplified view.
• One-click to predict: Instantly add forecasting to any NRQL query for ad hoc analysis and alert conditions.
• AI-powered causal analysis: Best-in-class compound and causal AI explains the “why” behind the prediction, enabling quick remediation.

To learn more, visit the product webpage. 

Existing customers can sign up to preview this feature in product now.

Reach Engineering Excellence

To see all the innovations for Engineering Excellence, read the Engineering Excellence blog.

Cloud Cost Intelligence

Cloud costs are skyrocketing. The complexity and dynamic nature of the cloud makes it challenging to control sprawl, pinpoint cost drivers, detect anomalies—all of which are necessary for optimizing cloud spending. Business and FinOps leaders must bridge the gap between engineering decisions and business outcomes—enabling better cloud spend forecasting and data-driven decisions for future investments.

Cloud Cost Intelligence is fully integrated into the New Relic Intelligent Observability Platform, and automatically ingests our deep telemetry to deliver real-time, comprehensive visibility into AWS cloud and Kubernetes resource costs. With point solutions, you need both upfront instrumentation and continued maintenance to achieve full, real-time visibility. This means more resources, time, and money. Our fully-integrated solution uncovers detailed insights into cost trends, drivers, and impacts, empowering technical and business teams to make informed decisions about cloud spend, optimize costs at scale, and continue innovation for their customers.

• Complete visibility: See and manage cloud costs across your organization with detailed insights to optimize spending.
• Real-time cost estimation: Know the cost impact of compute resources before deployment to avoid billing surprises.
• Seamless integration: Automatically collects and visualizes real-time telemetry data for deeper cost insights without instrumentation needed. 
• Leadership alignment: Makes cloud costs transparent, enabling teams to collaborate and optimize resources efficiently.
• Collaborative cost management: Empowers engineering, finance, product, and UX teams to align spending with business goals.

To learn more, visit the product webpage.  

Interested customers can sign up to join the product preview here.

Security Rx

Security and engineering teams are challenged to identify, prioritize, and remediate volumes of vulnerabilities across multiple layers of the application stack. As a result, valuable engineering time is consumed in unnecessary triage and remediation. 

Security RX for infrastructure consolidates, de-duplicates, and prioritizes remediation for vulnerabilities in infrastructure packages along with application and cloud risks. You can now reduce noise by helping teams focus on which libraries are loaded at runtime and have associated CVEs. This information is then correlated with other risk factors to provide a prioritized list of issues, making it easier to understand how vulnerabilities relate to application performance, user experience, and other key metrics you’re driving.

• Consolidate, contextualize and remediate infrastructure, cloud and application vulnerabilities, and misconfigurations in one console to reduce security backlogs and context switching.
• Continuously monitor Linux hosts using the same observability infra agents. 
• Automate prioritization of security findings across all services, infrastructure, and cloud resources using threat intelligence and observability data. 
• Cut the volume of vulnerabilities from point-in-time code scanning tools up to 97% with runtime verification.

To learn more, visit the product webpage. 

Existing customers can sign up to preview this feature in product now. 

NOTE: Security RX (Remediation Explorer) was previously known as Vulnerability Management within our platform. 

Digital Experience Monitoring (DEM)

To see all the innovations we announced for Digital Experience, read the Digital Experience blog.

Video Streaming & Ads

Streaming video and ad providers face a constant challenge: delivering high-quality experiences across diverse devices and regions. When problems arise—like video playback buffering—developers and video/ad ops teams are forced to switch between specialized analytics tools for client-side issues and observability platforms for backend problems. This constant tool switching leads to lost context, delayed issue resolution, frustrated users, and increased churn.

New Relic’s Streaming Video and Ads Intelligence, is the industry’s first full stack streaming solution that unifies video quality of experience (QoE) metrics, app performance, backend infrastructure and ad analytics into a single platform. This comprehensive solution enables streaming media providers to quickly troubleshoot and deliver superior viewing experiences. 

• Deliver exceptional QoE: Analyze factors impacting viewer experience, such as playback failures, video/ad attempts, and buffering.
• Maximize viewer engagement: Gain valuable insights into user engagement by tracking video/ad completion rates and concurrent view trends.
• Troubleshoot faster with full-stack visibility: Correlate data across your entire stack to quickly pinpoint the root cause of video/ad distribution issues.
• Resolve errors rapidly: Identify prevalent error messages linked to specific content or delivery methods to expedite troubleshooting.
• Optimize user experience: Visualize user sessions as timelines (video playback, ads, seeks, and metadata) to identify and resolve playback issues impacting viewer satisfaction.

Video Streaming and Ads is available now. To learn more, visit the product webpage or read the product documentation.