New Relic - Application Performance Monitoring
Basic Information
- Company/Brand: New Relic
- Founder: Lew Cirne
- Country/Region: USA (San Francisco)
- Official Website: https://newrelic.com/
- GitHub: https://github.com/newrelic
- Type: Full-stack Observability SaaS Platform
- Founded: 2008
- Funding Status: Formerly listed on NASDAQ, privatized in 2023 (acquired by Francisco Partners and TPG)
Product Description
New Relic is a full-stack observability platform that aligns technical performance with business outcomes, making observability a driver of value. In 2025-2026, New Relic is aggressively advancing AI-driven intelligent observability, including innovations like Agentic AI monitoring, predictive analytics, response intelligence, and eBPF code-free APM, helping teams shift from reactive responses to proactive predictions.
Core Features/Characteristics
- Intelligent Workloads: Automatically discovers complex dependencies, aligning system health with business KPIs
- Predictions: Uses ML to predict metrics and time-series issues, pluggable into NRQL queries
- Response Intelligence: Causal analysis, root cause assistance, and remediation steps
- Agentic AI Monitoring: AI agent-interactive service maps, performance views, and trace drilling
- eAPM: eBPF-based APM, enabling cross-language application monitoring in K8s with a single Helm command
- Pipeline Control: Telemetry data (metrics/logs/traces/events) filtering, enrichment, and routing rule engine
- Distributed Tracing: Complete call chain tracing and analysis
- Session Replay: Replays failed sessions to understand the full context of errors
Business Model
- Standard: $0.30-$0.40/GB data ingestion, $99/user/month, 8-day data retention
- Pro: $0.35-$0.50/GB data ingestion, $349/user/month, 30-day data retention, advanced alerts, and AIOps
- Enterprise: Custom pricing, $549/user/month (list price), customizable retention periods
- Free Tier: 100GB/month free data ingestion
Target Users
- Enterprise DevOps and SRE teams
- Large application teams requiring APM
- Enterprises building AI agents
- Organizations needing business-technology correlation analysis
- Kubernetes operations teams
Competitive Advantages
- AI-driven predictive monitoring (not just passive alerts)
- Agentic AI monitoring (designed for the AI agent era)
- eAPM code-free deployment (based on eBPF)
- Flexible data management with Pipeline Control
- 100GB/month free data ingestion
- Powerful NRQL query language
Comparison with Competitors
| Dimension | New Relic | Datadog | Grafana |
|---|---|---|---|
| AI Capabilities | Predictive + Response Intelligence | Bits AI + Toto | Basic |
| Free Data | 100GB/month | None | Limited |
| User Pricing | $99-$549/user/month | No user fee | No user fee |
| Open Source | Agent open source | Agent open source | Core open source |
| AI Agent Monitoring | Agentic AI Monitoring | LLM Observability | Via plugins |
Relationship with OpenClaw Ecosystem
New Relic's Agentic AI monitoring capabilities provide a professional monitoring solution for OpenClaw's AI agent systems, tracking interactions, performance, and trace chains between agents. Predictive analytics help OpenClaw identify potential issues in advance. The code-free deployment of eAPM lowers the barrier to monitoring integration. However, its higher user pricing may limit its application in smaller OpenClaw deployments, making it more suitable for enterprise-level scenarios.
External References
Learn more from these authoritative sources: