New Relic Now+ 2025: Guide to New Relic innovations for business uptime

The New Relic Intelligent Observability Platform allows you to harness the power of AI to maximize your business uptime. With IT outages costing up to $1.9M per hour, even a minute of downtime can impact the bottom line of your business.  

At our first New Relic NOW+ conference, we announced several new innovations to help you ensure your business uptime. Agentic AI integrations to automate tasks, Predictions to predict and prevent issues, and Response Intelligence for AI-powered remediation recommendations. 

To see all 20+ innovations such as Pipeline Control, Cloud Cost Intelligence, Service Architecture Intelligence, Security Rx, and more, check out our keynote roundup. 

Agentic AI Integrations

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 agents of leading apps, ITSM, and SLDC toolchains 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. 

You can access this innovation in the New Relic platform here.

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. 

You can access this innovation in the New Relic platform here.

Response Intelligence

Across an increasingly complex digital landscape, SREs and application engineers struggle to find the most accurate, real-time information to diagnose and repair issues before they affect users. They also lack insights needed to make fast, effective decisions and take mitigation actions.

Only New Relic offers Response Intelligence—an AI-powered solution that provides causal analysis, issue identification, and suggested remediation in a clear, unified view. The solution leverages our RAG platform, which includes the new Context Connector, enabling customers to integrate their own data sources and documentation, such as Atlassian runbooks and more. This feeds into a powerful mitigation engine that matches symptoms with solutions and provides AI-powered recommendations for next steps and a fast-path to remediation.

• Instant contextualized insights: All telemetry data combined with the New Relic platform and customer defined RAG info correlated and in context within a single view
• Immediate impact analysis: provides visual “Blast radius” of all affected systems.
• AI-powered recommendations: workflows to provide step-by-step mitigation for issues based on past incidents and unique logic from New Relic.

To learn more visit the product webpage. 

You can access this innovation in the New Relic platform here.

Transaction 360 

Imagine a single glitch bringing your entire checkout process to a halt. This scenario is common in modern applications built with interconnected services and components. During critical transactions, a small issue can trigger a flood of telemetry and alerts, overwhelming DevOps teams. This data overload, coupled with the need to navigate multiple dashboards, slows down troubleshooting, increases mean time to resolution (MTTR) and downtime.

Transaction 360 is the industry's first intelligent transaction monitoring solution. It goes beyond simple data collection by intelligently correlating telemetry, alerts, and change trackers across services for each transaction. This single, contextual view removes the need for DevOps teams to check multiple dashboards for transaction troubleshooting and reduces MTTR by 5x.

• Instant context: Automatically group and correlate only the relevant services and data for transaction issues.
• Root cause faster: Get a unified view of all services and components for each transaction in one place speeding up root cause analysis.
• Proactive issue detection: Spot and fix potential issues with dynamic flow maps that highlight anomalous services and dependencies within the critical path.
• Change impact analysis: Quickly pinpoint the impact of all deployments and configuration changes that impact transactions.
• Predict and optimize: Use historical data for transactions to understand trends, predict potential problems, and optimize performance.

To learn more, visit the product webpage. 

You can access this innovation in the New Relic platform here.

Database Performance Monitoring 

We’ve all been there: database issues slowing down application performance and no clear way to pinpoint the problem. As an SRE or engineer, it’s frustrating not having enough visibility into how your databases are performing. On the other side, DBA teams often rely on isolated tools, creating silos that make it hard to connect database performance to how the application is actually performing.

New Relic Database Performance Monitoring stands out by offering unified visibility into both your database and application performance. With detailed query-level insights and metrics. It equips you to quickly identify and resolve database issues—ensuring they never impact your applications. Our latest release adds three new on-host integrations (OHIs) for Microsoft SQL Server, MySQL, and PostgreSQL, allowing quick setup and easy collection of query-level telemetry and instant insights with a pre-built dashboard that combines query details, wait types, and explain plans—all in one place.

• Deeper visibility into databases: Easily identify slow database queries and anomalies with full visibility into query performance and detailed execution plans.
• Identify issues faster with pre-built dashboards: Get full visibility into your queries and database performance metrics, and explore issues with wait type histograms. 
• Automatic correlation and relationship mapping: Connect your app and database performance while uncovering key dependencies with service maps.

To learn more, read the product documentation for MySQL, PostgreSQL, and Microsoft SQL. 

You can access this innovation in the New Relic platform here.

Queues and Streams

Modern distributed systems heavily rely on message queues for asynchronous communication, enabling multiple producers to send messages to the same Kafka topic and numerous consumers to receive them. While this architecture is powerful, the absence of bi-directional visibility leaves DevOps teams struggling to pinpoint the root cause of performance issues. This lack of insight leads to extended downtimes and lost revenue.

New Relic Queues and Streams, which is fully integrated with our Intelligent Observability Platform, provides context-rich and end-to-end visibility for message queues and streams. Its distinctive bi-directional drill-down capability connects topics to both producer and consumer services, enabling DevOps teams to quickly identify and resolve issues such as slow producers, overloaded topics, or struggling consumers.

• Effortless setup: Quickly get started with our guided installation process, streamlining your message queue monitoring setup.
• Granular insights: Deep insights into Kafka health, down to the cluster, partition, broker, topic, producer, and consumer level.
• Root cause faster: Pinpoint root causes of performance issues quickly with bi-directional drill down capability from service to topic and back.
• Proactive issue detection: Identify potential issues with out-of-the-box alert conditions and real-time anomaly detection. 

To learn more, read the product documentation. 

You can access this innovation in the New Relic platform here.