Published May 16, 2026
Recent vendor announcements highlight investments in agentic platforms and OpenTelemetry tooling, implying continued development of AI and agent observability capabilities.
Common reasons cited across sources include:
G2 shows New Relic with a substantial review volume and a positive average rating in many entries. Common themes called out by reviewers include real-time insights and comprehensive observability, alongside concerns that pricing can increase substantially as data usage grows and that there is a learning curve for product setup and usage.
TrustRadius excerpts indicate positive ratings in several entries, citing value and alerting functionality as advantages, along with comments on ease of use by some reviewers.
Community threads include both operationally focused notes and critical commentary. Common themes in community discussions include concerns about cost predictability based on ingest-based billing, occasional billing disputes reported anecdotally, and practical guidance on using ingestion-time exclusion filters to manage costs.
Across review snippets and community inputs, observed reasons for selecting New Relic include:
Vendor materials describe capabilities such as auto-instrumentation via existing agents, AI metrics (usage and response-quality metrics), tracing and model comparison, and drop filters for sensitive data. These descriptions are presented as product features in vendor documentation and marketing materials; independent, third-party audited case studies with full methodologies were not abundant in the accessible excerpts.
A Forrester Total Economic Impact (TEI) study exists for the New Relic Observability Platform (not limited to AI Monitoring). TEI studies are typically commissioned by vendors and use modeling and interviews; they can provide directional inputs but are not a substitute for buyer-specific ROI analyses.
Community discussions on technical forums and community threads function as informal case signals about cost governance and operational practices. These discussions illustrate real-world approaches (for example: applying exclusion filters and sampling) but are anecdotal and should be validated for each buyer context.
Get a comprehensive analysis of New Relic AI Monitoring including market position, competitive landscape, adoption trends, and peer benchmarks.
Download full report →Public review snippets indicate generally positive sentiment in some entries, with recurring concerns around user experience and pricing in others.
Positive (example):
Critical (example):
Common negatives reflected in review excerpts include:
New Relic AI Monitoring is a capability within the New Relic observability platform for monitoring AI/LLM-powered applications end-to-end. It captures and correlates AI-layer telemetry (for example: prompts/responses, token usage, latency, model/provider behavior) with standard observability signals (APM, traces, logs, infrastructure metrics) to support troubleshooting of quality, performance, reliability, and cost issues associated with AI features.
A key implementation detail: New Relic provides AI monitoring primarily via its existing APM agents with configuration options to enable AI-specific data capture rather than through a separate instrumentation stack.