New Relic AI is the generative AI assistant inside the New Relic observability platform, helping engineers understand incidents, write queries and troubleshoot faster.
New Relic combines full-stack observability — APM, logs, infrastructure, real user monitoring and more — with an AI assistant that lowers the expertise barrier. Engineers ask questions in plain English and get NRQL queries generated, error summaries explained and probable root causes surfaced from telemetry. The assistant also helps with instrumentation and dashboard creation.
Because the AI operates on the customer’s own telemetry inside the New Relic platform, its answers are grounded in real system behavior rather than generic advice. Consumption-based pricing and a generous free tier make the platform accessible from hobby projects to global enterprises.
The platform’s breadth covers application performance monitoring, infrastructure, logs, Kubernetes, browser and mobile monitoring, synthetics and network performance — all queryable through one telemetry database. The AI assistant lowers the learning curve for NRQL, the platform’s query language, and helps interpret errors and distributed traces during incidents. Usage-based pricing with a real free tier has made New Relic accessible from side projects to large enterprises.
New Relic offers 100 GB/month of free data ingest and free full platform access; beyond that, usage is billed on data ingest and user seats.
Engineering teams of all sizes that want observability with AI assistance to speed diagnosis and reduce tool learning curves.
New Relic’s free tier includes platform access and data allowance; heavier usage is billed by consumption.
Yes — New Relic has extensive NerdGraph/REST APIs and programmable alerting and querying.
Its AI assistant works across the whole telemetry platform, and consumption pricing suits both small and large teams.
New Relic instruments all major languages and frameworks — Java, .NET, Node.js, Python, Ruby, Go, PHP and more — alongside OpenTelemetry data.
Engineering teams use New Relic AI to write monitoring queries in plain English, understand errors and distributed traces during incidents, set up instrumentation quickly and build dashboards without learning NRQL first. Combined with full-stack observability data, it accelerates diagnosis for both experienced SREs and developers new to observability.
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