Overview

New Relic was founded in 2008, headquartered in San Francisco, California, USA. It is a global leader in full-stack observability and a pioneer in Application Performance Monitoring (APM). New Relic One unifies APM, log management, infrastructure monitoring, digital experience monitoring (DEM), and alerting into a single platform with 1,700+ quickstart integrations. Its unique NRQL (New Relic Query Language) enables SQL-like cross-data-source analysis. As of 2026, New Relic serves more than 5 million users worldwide across development, operations, and SRE teams.

New Relic's mission is to help every software team make data-driven decisions about application performance. The platform supports traditional monoliths as well as microservices, Kubernetes, and serverless architectures. Since 2024, New Relic has invested heavily in AI Monitoring, providing LLM call tracing and AI application performance analysis to help teams quickly diagnose performance and cost issues in AI applications.

Key Strengths

  • 1,700+ Quickstart Integrations: From AWS Lambda and Azure Functions to MySQL, Redis, Kafka, and Elasticsearch, mainstream stacks can be onboarded in minutes, cutting integration time from hours to under 10 minutes.
  • NRQL Cross-Data Analysis: The SQL-like query language correlates APM traces, logs, infrastructure metrics, and browser data in 1 single query — no tool switching needed. See Website Monitoring Tools Guide.
  • Digital Experience Monitoring (DEM): Browser Session Replay and page load waterfalls help pinpoint over 90% of front-end performance bottlenecks and user interaction issues.
  • Generous Free Tier: 1 Full-Platform user, 100GB/month log ingest, and 8-day full data retention — ideal for indie developers and startups exploring full-stack observability.
  • AI Observability: AI Monitoring traces OpenAI, Anthropic, LangChain, and 10+ other LLM frameworks, providing token usage, latency, and error rate metrics for AI application teams.

Product Ecosystem

New Relic APM

New Relic APM is the core product, supporting 20+ languages and runtimes including Java, .NET, Ruby, Python, Node.js, PHP, and Go. It auto-discovers application service maps and traces end-to-end transaction performance including database queries, external API calls, and message queue operations. Distributed tracing supports cross-service analysis for rapid root-cause identification in microservice architectures.

New Relic Log Management

Log management supports agentless forwarding (via HTTP or TCP) and automatic correlation with APM traces. Log data is queryable via NRQL, allowing joint analysis of logs and APM transactions in a single query. Parsing rules support Grok patterns and regular expressions for structured field extraction.

New Relic Infrastructure

Infrastructure monitoring collects host, container, and Kubernetes cluster metrics via the New Relic Agent. Pre-built dashboards cover CPU, memory, disk, and network. Custom alert thresholds and correlation with APM/log data enable rapid linking of infrastructure anomalies to application performance changes.

New Relic Digital Experience Monitoring (DEM)

DEM includes Browser Monitoring, Mobile Monitoring, and Session Replay. Browser Monitoring provides page load waterfalls, JS error tracking, and Apdex scores. Mobile Monitoring supports iOS and Android crash analysis and performance tracing. Session Replay records real user interactions for UX issue diagnosis.

New Relic AI Monitoring

AI Monitoring is New Relic's dedicated solution for AI/LLM applications. It supports tracing OpenAI, Anthropic, LangChain, and LlamaIndex call chains, capturing token usage, request latency, error rates, and cost metrics. Prompts and responses can be sampled for debugging and optimization.

Limitations

  • Free Tier Constraints: Limited to 1 Full-Platform user; team collaboration requires paid plans. 100GB/month log volume may be insufficient for medium workloads.
  • Complex Interface: 30+ modules with deep navigation; new users typically need 1-2 weeks to master NRQL and dashboard configuration.
  • Cost at Scale: Per-GB pricing is mid-to-high in the industry. Large data volumes require careful budget planning.
  • AI Monitoring Maturity: While AI Monitoring features have launched, they still lag behind Datadog in pre-built model integration depth and alert intelligence.

Use Cases

  • APM-First Development Teams (★★★★★): Deepest APM capabilities, ideal for teams focused on application performance. See Website Monitoring Tools Guide.
  • Data-Driven Ops Teams (★★★★): NRQL enables correlated cross-source analysis, great for SQL-savvy operations and SRE teams.
  • Startups / Indie Developers (★★★★): Generous free tier for exploring full-stack observability on a budget.
  • AI Application Developers (★★★★): AI Monitoring with LLM call tracing for teams monitoring AI application performance.
  • Large Enterprise Observability (★★★): Comprehensive enterprise features, but cost at scale needs evaluation.

Pricing

Plan Price Key Features
Free $0 1 Full-Platform user, 100GB/month logs, 8-day full data retention
Pro $0.55/GB/month (ingested) Unlimited users, advanced NRQL, SLA guarantee
Enterprise Custom Custom retention, dedicated support, advanced security compliance

Note: APM basic monitoring is included in the free tier. Paid plans extend data retention to 30-90 days.

FAQ

  • What's the difference between free and paid New Relic? Free: 1 Full-Platform user, 100GB/month logs. Paid Pro starts at $0.55/GB/month (ingested data), with unlimited users, advanced features, and SLA.; see cloud monitoring services comparison.
  • NRQL vs PromQL? NRQL uses SQL-like syntax for cross-source correlation; PromQL is purpose-built for Prometheus time-series data. Choice depends on your monitoring architecture and data sources.
  • Does New Relic have a Chinese UI? Currently New Relic One is English-only; no Chinese language pack is available. NRQL queries and dashboards are unaffected by language.; see monitoring and alerting guide.
  • How does New Relic monitor AI applications? Via AI Monitoring, which supports tracing OpenAI, Anthropic, LangChain, and other LLM calls, capturing token usage, latency, and error rate metrics.; see cloud monitoring services comparison.
  • New Relic vs Datadog? New Relic offers a more generous free tier and flexible NRQL cross-source analysis. Datadog has richer integrations and more mature AI monitoring. Evaluate based on budget and technical preferences.; see cloud monitoring services comparison.