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About
New Relic AI Observability is a comprehensive, intelligent monitoring platform designed for modern engineering teams. It leverages AI to provide full-stack observability—from application performance management (APM) and digital experience monitoring to infrastructure health, log management, and security vulnerability management. The platform's SRE Agent moves beyond passive alerting to automated remediation, resolving incidents at scale before they impact revenue. AI-powered session replay removes manual video scrubbing by automatically identifying user friction points and UX flaws. Real-time cloud cost visibility spans multi-cloud and Kubernetes environments, tying infrastructure spend directly to application performance. New Relic's AI and Agentic Monitoring capability lets teams control LLM model behavior, track token usage, and monitor every agent interaction in real time—critical for organizations deploying AI-powered products. The platform is built on OpenTelemetry, ensuring vendor-neutral, future-proof telemetry ingestion across every signal type. Trusted by enterprises in retail, finance, media, SaaS, telecommunications, and automotive industries, New Relic is built for SREs, platform engineers, developers, and IT operations teams who need business-aligned performance insights. A free tier is available, making it accessible for startups and individual developers as well as large enterprises.
Key Features
- SRE Agent & Automated Remediation: Goes beyond alerting with an AI-driven SRE Agent that automatically remediates incidents at scale before they impact business operations or revenue.
- AI & Agentic Monitoring: Monitor every LLM model and AI agent interaction in real time, controlling behavior, tracking token usage, and managing AI infrastructure costs automatically.
- Full-Stack APM & Digital Experience: Connect application performance to customer experience and revenue with AI-powered session replay that automatically identifies friction points and UX flaws.
- Infrastructure & Cloud Cost Visibility: Gain real-time visibility into multi-cloud and Kubernetes environments, tying infrastructure health and spend directly to application performance.
- OpenTelemetry-Native Platform: Built on the open OpenTelemetry standard to future-proof telemetry ingestion across every signal type, ensuring vendor neutrality and broad compatibility.
Use Cases
- SRE teams using automated remediation to detect and resolve production incidents before they affect end users or revenue.
- Engineering teams monitoring LLM-powered features and AI agents to control token costs, ensure accuracy, and maintain reliability.
- Platform engineers tracking Kubernetes and multi-cloud infrastructure costs in real time, tied directly to application performance metrics.
- Product and UX teams leveraging AI session replay to automatically identify user friction points and optimize conversion funnels.
- Security and compliance teams using unified vulnerability management to prioritize and remediate risks based on production impact.
Pros
- Unified Observability Across the Full Stack: Combines APM, logs, infrastructure, security, and AI monitoring in a single platform, eliminating tool sprawl and providing correlated, actionable insights.
- AI-Driven Automation: The SRE Agent and AI-powered analytics reduce manual toil by automating root cause analysis and incident remediation, significantly lowering MTTR.
- First-Class AI/LLM Monitoring: Purpose-built capabilities for monitoring AI agents and LLM usage make it ideal for teams building or operating AI-powered applications.
- Free Tier Available: A generous free entry point makes it accessible to startups and individual developers, with clear upgrade paths for larger enterprise needs.
Cons
- Can Be Complex to Configure: The breadth of the platform means initial setup and instrumentation across a large stack can require significant time and expertise.
- Cost Can Scale Quickly: Pricing is based on data ingestion and user seats, which can become expensive as telemetry volume grows in large or high-traffic environments.
- Learning Curve for Advanced Features: Features like NRQL querying, agentic monitoring, and custom dashboards require familiarity with the platform to fully leverage their potential.
Frequently Asked Questions
Is New Relic free to use?
Yes, New Relic offers a free tier that includes access to core observability features. Paid plans scale based on data ingestion volume and the number of users, making it suitable for both small teams and large enterprises.
What is New Relic's AI and Agentic Monitoring?
It is a purpose-built capability that monitors every AI model and agent interaction in your stack in real time. It tracks token usage, controls LLM behavior, and helps manage the cost and accuracy of AI-powered applications.
Does New Relic support OpenTelemetry?
Yes, New Relic is built on OpenTelemetry, a universal open standard for telemetry data. This ensures your observability strategy is vendor-neutral and compatible with a wide range of languages, frameworks, and cloud providers.
What is the SRE Agent in New Relic?
The SRE Agent is an AI-powered feature that moves beyond traditional alerting to automated incident remediation. It analyzes telemetry data to identify root causes and takes automated corrective actions to resolve issues before they impact users or revenue.
Who is New Relic best suited for?
New Relic is ideal for SREs, platform engineers, DevOps teams, and developers who need comprehensive, AI-powered observability across modern cloud-native stacks. It serves businesses of all sizes, from startups to global enterprises in industries like finance, retail, and SaaS.
