AI and Agentic Monitoring
by New Relic · Data and analytics · San Francisco, United States
Monitor every AI model and agent interaction in real time with control for accuracy and cost.
What AI and Agentic Monitoring does
- Model performance tracking
- Prompt analytics
- Cost tracking
- Response quality monitoring
- Agent traces
- Token usage control
What AI and Agentic Monitoring is used for
- Manage AI agents
- Scale AI safely
- Control AI costs
- Secure AI investments
About New Relic
AI-powered observability platform for monitoring applications, infrastructure, and AI systems.
New Relic in the vendor registry: its products, features and similar vendors.
Also by New Relic
- Application Performance Monitoring (APM): End-to-end visibility across applications and services to monitor performance and connect to customer experience and revenue.
- Digital Experience Monitoring: User-centric monitoring using AI to pinpoint session friction and UX flaws before they impact customer experience.
- Infrastructure Monitoring: System-wide context to manage cloud-native and Kubernetes environments with infrastructure health tied to applications.
- Log Management: Scalable logging strategy with cost-effective querying of data in place without moving data.
- Security: Unified vulnerability management that prioritizes and resolves issues using production impact and AI reasoning.
- New Relic Autopilot: Native AI agents that detect, investigate, and resolve issues with automated remediation and explainable diagnostic evidence.
More in this category: Data and analytics platforms for financial services.
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