
A unified "Intelligent Observability" platform that uses generative AI to cut through alert noise and help engineers resolve issues nearly twice as fast.
In this review
New Relic: The Superhuman Era of Intelligent Observability
What is New Relic?
In 2026, New Relic has rebranded itself as the "Intelligent Observability" company. It has moved beyond simple dashboards to an AI-first approach that proactively monitors your entire stack—from infrastructure and applications to the hidden "black box" of your AI models.
According to their latest 2026 AI Impact Report, engineers using their AI-strengthened features ship code 80% more frequently and resolve critical issues 25% faster on average. By correlating billions of signals into a few actionable incidents, New Relic aims to eliminate the "firefighting" that consumes 33% of a typical developer's day.
Targeted Features for Code Debugging & Performance
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NRAI (New Relic AI): A generative AI assistant you can ask questions in plain English (e.g., "Why did the checkout service spike in errors last hour?") to get instant root-cause analysis and NRQL queries.
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ChatGPT App Monitoring: (New for 2026) A first-of-its-kind solution that monitors performance and "AI hallucinations" inside custom ChatGPT apps, ensuring your LLM-generated UIs are functional and conversion-ready.
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New Relic CodeStream: Bridges the gap between production and the IDE. It surfaces telemetry data and error metrics directly inside VS Code or IntelliJ, allowing developers to fix bugs without switching contexts.
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AIOps Noise Reduction: Automatically correlates related alerts into a single incident, resulting in 27% less alert noise and preventing "alert fatigue".
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Full-Stack AI Observability: Monitor your entire AI stack instantly, from LangChain frameworks and Pinecone vector databases to model response quality and token costs.
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Errors Inbox: A centralized hub that groups similar errors and identifies the specific lines of code and files involved, often reducing resolution times from hours to minutes.
2026 Pricing: 100GB Free & Usage-Based Tiers
New Relic uses a transparent, usage-based model that bills based on the data you ingest and the number of "billable users".
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Free Forever Plan: $0 / month. Includes 100GB of free data ingest per month, one free full platform user, and access to all 30+ core capabilities.
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Standard Edition: Ideal for small teams (up to 5 full users). Pay $0.30 - $0.40 per GB for data ingested beyond the free 100GB limit.
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Pro Edition: For larger teams with complex workloads. Includes 24/7 support, SAML SSO, and deeper retention. Full platform users start at ~$349 - $418 / month.
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Enterprise: Contact Sales. Designed for high-security environments (HIPAA/FedRAMP) with 1-hour critical response SLAs and priority ticket routing.
New Relic vs. Datadog vs. Dynatrace
| Feature | New Relic | Datadog | Dynatrace |
| Primary Vibe | Intelligent & Simple | Infrastructure Focused | Enterprise & Complex |
| AI Integration | Native Across All Data | Sourced from Silos | Deep APM Analysis |
| Pricing Model | Usage-Based (Per GB) | Per Host / Feature | Per Service / Agent |
| Free Tier | 100GB / Month | 5 Hosts (Limited) | 15-Day Trial |
| Best For | Modern Dev Teams | DevOps & SREs | Large Enterprises |
Frequently Asked Questions
Is New Relic actually "cheaper" than Datadog?
For many teams, yes. New Relic’s usage-based model avoids the "hidden costs" found in per-host or per-container pricing. You only pay for the data you track, and their 100GB free tier is significantly more generous than the trial versions offered by most competitors.
Can it monitor my AI models and LLMs?
Yes. New Relic is a leader in AI monitoring. It can track token usage, response times, and error rates for models like OpenAI and Amazon Bedrock, helping you troubleshoot "hallucinations" or performance drift in real-time.
What is a "Full Platform User" vs. a "Basic User"?
A Basic User ($0) can view dashboards and alerts—perfect for PMs or executives. A Full Platform User (Paid) has access to the advanced debugging, code-level metrics, and full AIOps capabilities required by engineers to resolve incidents.
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