New Relic is an AI-driven observability platform designed to correlate telemetry data across the entire technology stack in order to isolate root causes and reduce MTTR.
Purpose
New Relic provides intelligent observability to help resolve issues at scale before they affect business outcomes. It goes beyond simple assistance and supports automated remediation. The platform also helps users skip searching videos by using AI to identify friction points.
Key Capabilities
- Correlate telemetry data across the entire technology stack to isolate root causes and reduce MTTR.
- Intelligent observability can predict, think, act, know, and protect.
- Automated remediation that goes beyond assistance.
- Identify friction points with AI, with no need to search videos.
- Real-time visibility into multi-cloud and Kubernetes spend.
- Automatically control behavior and token usage in the AI technology stack.
- Future-proofed based on common open standards, for every signal.
- Deliver observability insights to AI agents, where engineers work.
- Business alignment: correlate application performance with customer experience and revenue.
- User-centered clarity: use AI to locate session friction and UX defects before they affect profit.
- Accuracy and cost control: monitor every model and agent interaction in real time.
- Full-system context: manage cloud-native and K8s environments, with infrastructure health linked to applications.
- Data-driven efficiency: scale log strategy costs by querying data in place.
- Unified vulnerability management: prioritize and resolve using production impact and AI inference.
- Observability built for understanding AI: replace isolated AI and APM views with a single correlated map covering every agent, LLM, and microservice.
- Trace agent reasoning to code execution to identify where logic deviates from expected behavior.
- Turn variable AI behavior into predictable outcomes to protect profit.
How to Use
Access the entire platform for free, with no credit card required. Start free with 100 GB + 1 user. Get a guided product tour. Pricing is simple and transparent.
Use Cases
For clarity in modern technology stacks: business alignment, user centering, cost control, system context, data efficiency, and vulnerability management. For teams that need to understand AI and manage AI agents, LLMs, and microservices. For multi-cloud and Kubernetes environments. For engineers who need to deliver observability insights to AI agents.
Limitations
The materials do not provide detailed information about specific charges, pricing, platform compatibility, effectiveness, or usage steps.Detailed information about specific charges, pricing, platform compatibility, effectiveness, or usage steps.
