Full-stack observability platform with AI-powered monitoring and automated remediation
New Relic is an observability platform for engineering and DevOps teams managing application performance, infrastructure, and security.
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AI Editor ApprovedApproved and published by our AI Editor-in-Chief after full panel analysis.In practice, teams instrument their stacks using New Relic agents or OpenTelemetry, then monitor everything from APM traces and infrastructure health to digital experience sessions and AI model behavior in a single platform. Engineers set up dashboards, configure alerts, and query logs in place without moving data to a separate system. When incidents occur, correlated views link application performance signals to infrastructure events and user-facing impact.
New Relic highlights several specific capabilities that differentiate it within the observability category. Its AI and Agentic Monitoring module tracks individual LLM and AI agent interactions in real time, tracing agent reasoning to code execution to identify logic drift and cost overruns. Session Replay with AI analyzes recorded user sessions to surface friction points automatically rather than requiring manual video review. The platform also offers real-time multi-cloud and Kubernetes cost visibility, and supports OpenTelemetry as a first-class standard for ingesting telemetry data across every signal type. Over 800 pre-built integrations are available.
New Relic is used across industries including retail, finance, media, SaaS, telecommunications, and automotive—primarily by SREs, DevOps engineers, and platform teams. The platform offers a free tier with access to the full product (no credit card required), with paid plans based on data ingestion and user seats. Competitors in the observability category include Datadog, Dynatrace, Grafana, and Elastic.
New Relic is delivered as a SaaS web application. It supports OpenTelemetry for vendor-neutral instrumentation and provides an API for querying data programmatically. The platform is positioned in the 2025 Gartner Magic Quadrant for Observability Platforms as a Leader.
Monitors every model and agent interaction in real time to manage AI agents, control token usage and costs, and scale AI safely.
Delivers observability insights to AI agents directly within the tools and workflows where engineers already work.
Replaces manual video scrubbing by using AI to automatically identify friction points within recorded user sessions.
Provides real-time visibility into multi-cloud and Kubernetes spend to help teams understand and optimize cloud costs.
Uses AI to pinpoint session friction and UX flaws—including session replay analysis—before they impact user satisfaction or conversions.
An agentic layer that moves beyond alerting to perform automated remediation of issues without manual intervention.
Connects application performance metrics to customer experience and revenue, helping teams protect revenue and reduce MTTR.
Provides system-wide context for cloud-native and Kubernetes environments by tying infrastructure health directly to application performance.
Enables querying of log data in place to scale logging strategy cost-effectively, simplify compliance, and reduce data toil.
Future-proofs observability by supporting the universal, open OpenTelemetry standard for ingesting every signal type.
Offers 800+ pre-built integrations to connect New Relic with the full breadth of technologies across a modern tech stack.
Prioritizes and guides remediation of critical risks using production impact data and AI reasoning, including securing AI investments.
Perpetual free tier for individuals getting started with observability.
For small teams looking to get started with observability. Limited to 5 full platform users.
For teams with more than five engineers and complex workloads requiring unlimited users.
For at-scale organizations with advanced security, compliance, and support needs.
Gartner Leader with an SRE Agent that actually remediates — not just alerts.
“New Relic is a mature, full-stack observability platform with a credible agentic layer. The free tier removes the excuse not to try it.”
Gartner Magic Quadrant Leader in 2025. 800+ integrations. A perpetual free tier at 100 GB/month with no credit card. This isn't a startup bet — it's an established platform with real institutional validation. The SRE Agent doing automated remediation, not just firing alerts, is the capability worth stress-testing.
The tradeoff is pricing complexity. Pro lands at $349/user/year, and data costs scale at $0.40/GB beyond the free tier. Teams with high-volume telemetry will feel that. Datadog and Dynatrace are the direct comparison — New Relic's consumption pricing model offers more flexibility, but that flexibility requires discipline to control.
The AI and Agentic Monitoring module — tracking LLM reasoning to code execution — is a differentiator for teams running AI workloads. OpenTelemetry as a first-class standard protects against lock-in. This is a platform you can defend to the board today.
OpenTelemetry-first and consumption pricing distinguish it from Datadog's seat-heavy model, especially for teams scaling AI infrastructure.
Gartner Leader, FedRAMP and HIPAA eligibility at Enterprise tier — this is a low-risk name to put in a board deck.
Free tier with 50+ capabilities and no credit card means day-one access, but 800+ integrations imply real configuration time before full payback.
AI and Agentic Monitoring tracks LLM cost and logic drift — advances teams running AI workloads, not just cuts observability cost.
2025 Gartner Leader designation and decades in market make a 36-month runway concern irrelevant here.
SRE and platform teams managing complex, multi-cloud or AI workloads who need correlated observability across every signal type.
Your stack is simple and Grafana plus a cheap APM tool already covers it.
Gartner Leader with an agentic SRE layer that actually changes the on-call calculus.
“New Relic has matured from APM tool into a full observability platform with a credible automation story. The SRE Agent and OpenTelemetry-first architecture are the two bets I'd want under a 3-year platform contract.”
800+ integrations and native OpenTelemetry support means instrumentation debt stays low — teams aren't locked into proprietary agents to get signal fidelity. The AI and Agentic Monitoring module tracking LLM token usage and reasoning drift is genuinely ahead of where Datadog sits today on AI workload observability. That's a real differentiator if you're running model-heavy infrastructure in 2025.
The SRE Agent automated remediation is the architectural bet worth scrutinizing. If that agentic layer matures, you're reducing P1 MTTR without headcount growth. If it stalls at current capability, you've built runbook dependencies on a feature that needs constant tuning. The 1-hour critical SLA gating behind Enterprise tier means smaller teams absorb the most risk during that maturation window.
Pricing math at Pro is $349/user/year for full platform access — manageable for a 10-engineer platform team, punishing at 50+. The consumption model alternative helps, but data ingest costs at $0.40/GB scale fast on high-cardinality trace workloads. Dynatrace's per-host pricing is simpler to forecast; New Relic requires tighter FinOps discipline to avoid bill shock.
2025 Gartner Magic Quadrant Leader placement with an agentic remediation story positions New Relic ahead of pure-alerting competitors on the automation axis.
Correlated dashboards linking APM traces to infrastructure events to user sessions matches exactly how SRE incident workflows actually run.
800+ pre-built integrations plus OpenTelemetry ingestion across every signal type gives the widest integration surface in the category.
OpenTelemetry as first-class standard reduces vendor lock-in risk, but SRE Agent dependency creates operational coupling if the agentic layer underdelivers.
AI and Agentic Monitoring with reasoning-to-code-execution tracing is library-grade depth — not a bolted-on feature, based on the product description.
Platform and SRE teams running complex multi-cloud or AI-heavy workloads who need a single observability plane with automation potential.
You need predictable per-host billing and your team lacks bandwidth to tune agentic remediation workflows.
$349/seat annual plus data overages: model the GB before you sign
“New Relic publishes three tiers with real numbers — rare for enterprise observability. The variable data ingestion model makes year-3 TCO hard to predict without usage data.”
Standard and Pro pricing is visible without a sales call. Pro lands at $349/seat/year on annual terms. 50 engineers × $349 = $17,450/year in licenses alone. Add 100 GB free ingest, then $0.40/GB beyond — a team with 500 GB/month pays $160/month extra, $1,920/year. Year-3 projection with 30% data growth: closer to $25K–$28K all-in. Enterprise pricing goes dark; contact sales.
The dual-axis billing — users plus GB — is the real TCO trap. Datadog runs the same model. Budget teams underestimate ingest growth consistently. Data Plus upgrades to $0.60/GB add another layer. No published auto-renewal window in the evidence, which is a procurement concern before signing.
SSO is included at Standard — no SSO tax, which saves $3K–$6K versus category norm. SRE Agent automated remediation and 800+ integrations justify the platform cost for teams replacing 2–3 point tools. Solo operators and small teams should stay on the free tier: 100 GB and 1 full user covers a lot.
SSO included at Standard tier eliminates a common add-on cost; monthly billing available at $418.80/seat versus $349 annual — 20% premium for flexibility.
Annual seat pricing implies 12-month commitment; no public auto-renewal window or termination-for-convenience clause visible in the evidence.
Three tiers with per-seat and per-GB rates published; Enterprise requires sales contact, but Standard and Pro are fully visible.
APM ties directly to MTTR and revenue impact metrics; SRE Agent automated remediation provides measurable incident-reduction math.
Dual-axis billing (seats + GB ingest) makes 3-year TCO unpredictable without actual usage telemetry; Data Plus at $0.60/GB adds a third variable.
SRE and DevOps teams at 10–200 engineers replacing multiple point monitoring tools with a single platform.
Your data ingest is unpredictable or growing fast — the per-GB model will punish you at scale.
Full-stack observability with an SRE Agent that actually acts — not just alerts
“New Relic combines APM, infra, logs, and AI monitoring in one query surface, with a genuine agentic remediation layer that's rare in the category. The pricing model rewards scale but punishes seat growth.”
The SRE Agent is the real differentiator here. Datadog alerts. Dynatrace advises. New Relic's agentic layer claims to remediate without waiting for a human to page in — that's a different operational posture. For on-call rotations where MTTR is the number that matters, automated remediation at 3am beats a Slack ping every time. The docs indicate OpenTelemetry is first-class, not an afterthought, which means instrumentation portability stays intact if you ever need to exit.
Day three friction will show up in the data ingest bill. The free tier gives 100 GB/month, which sounds generous until a high-cardinality trace spike burns through it mid-sprint. The $0.40/GB overage on Standard and Pro is predictable, but 8-day default retention on the free tier is thin for incident retrospectives. Pro full platform users at $349/seat annually adds up fast for larger platform teams.
The 800+ pre-built integrations and Kubernetes cost visibility suggest someone on the product team actually runs clusters. Session Replay with AI is a bonus for SREs debugging frontend-correlated incidents without context-switching to a separate tool.
Correlated dashboards and single-pane querying reduce tool-switching, but ingest cost spikes and 8-day default retention on free tier create real operational friction.
Docs are available and the changelog absence from scraped evidence is a minor flag, but OpenTelemetry and Kubernetes depth suggest practitioner authorship.
Pricing variability across ingest, seats, and Data Plus tiers means SREs will spend cognitive load managing costs alongside managing systems.
AI and Agentic Monitoring, NRQL querying, and programmatic API access give power users real depth beyond dashboards.
OpenTelemetry as a first-class standard and 800+ integrations mean instrumentation fits existing stacks without ripping out agents or rewriting pipelines.
Platform and SRE teams running complex multi-cloud or Kubernetes workloads who need a single observability surface and are willing to pay for ingest at scale.
Small teams or solo engineers where Datadog's free tier or Grafana's self-hosted stack covers the need without per-seat cost exposure.
New Relic finally grew up: 800 integrations, an SRE Agent, and a free tier that's actually real
“Full-stack observability with an agentic layer that can act, not just alert. Datadog gets more press, but this is a serious platform.”
The free tier is legitimately generous — 100 GB ingest per month, one full platform user, 50+ capabilities, no credit card. That's not a teaser. That's enough to actually learn whether this tool fits your life before you hand over a card. Most platforms in this category give you a 14-day trial and call it fair. New Relic just lets you run.
The SRE Agent is the headline feature and it's worth taking seriously. Automated remediation, not just smarter alerts. Session Replay with AI replacing manual video scrubbing is the kind of thing that sounds like marketing until 3pm on a bad Friday and suddenly it's your favorite feature. The AI and Agentic Monitoring for LLM cost tracking is a real differentiator against Dynatrace right now.
The tradeoff is the learning curve. This is a deep platform — APM, infrastructure, logs, security, cloud cost, digital experience all under one roof. Month one will feel like homework. Pro tier is $349/user/year, which adds up fast for bigger teams. Web-only delivery means mobile is read-only at best. Not a daily driver on your phone.
Correlated dashboards and in-place log querying suggest real UX investment, but web-only delivery limits how polished the daily experience can feel outside a desktop.
APM, infrastructure, logs, security, cloud cost, and agentic features in one platform means month-one is a lot; the 50+ capabilities in the free tier at least lets you learn without a clock running.
Web-only platform — no mobile app listed — which for an incident-response tool is a real gap when something breaks at midnight.
The no-credit-card free tier with 100 GB ingest and 800+ pre-built integrations removes the biggest early friction points, though the platform breadth means first-hour orientation takes work.
Gartner Magic Quadrant Leader placement and broad enterprise deployment across finance, retail, and telco signal a platform teams trust under pressure.
SRE and DevOps teams running complex, multi-cloud stacks who need observability plus automated remediation in one place.
You're a small team or solo developer who just needs basic APM — the depth will bury you.
Gartner Leader, 800+ integrations, SRE Agent that might actually work — but $349/user stings
“New Relic is a legitimate full-stack observability platform, not a me-too entrant. The SRE Agent and AI-native monitoring are differentiated bets, and the OpenTelemetry-first posture is the right call for 2025.”
Three things I'd check before signing. One: 'automated remediation' is the kind of claim that ages poorly without a published incident post-mortem. The SRE Agent sounds compelling — based on the feature docs, it acts without manual intervention — but I'd want a failure mode story before trusting it in prod. Two: no changelog listed in the evidence. Category norm for platforms at this price is public shipping cadence. Absence here is a yellow flag. Three: $349/user annually on the Pro tier adds up fast. Datadog and Dynatrace both do the same math to you.
The exit story is actually the strongest dimension. OpenTelemetry as a first-class standard means your instrumentation isn't proprietary. If New Relic goes sideways, the telemetry data and agents are portable. That's a real moat against lock-in — and it's the opposite of what most competitors offer.
Magic Quadrant Leader placement, 800+ integrations, and a free tier with 100 GB ingest and no credit card required. Compared to Grafana (DIY pain) and Elastic (log-heavy, less APM depth), this is a more complete out-of-the-box experience. Viable 3-year bet. Not cheap. Fair.
AI and Agentic Monitoring for LLM cost tracking and Session Replay with AI are genuine gaps vs. Datadog; the SRE Agent is a differentiator if it holds up in practice.
OpenTelemetry support as a first-class standard means instrumentation isn't vendor-locked; migrating off is cleaner than most observability platforms.
No public funding data listed and no changelog visible, but Gartner Leader status, 800+ integrations, and broad industry adoption suggest an established, funded operation — no public shutdown signals.
'Automated remediation' and 'reduce MTTR' are claims that need evidence from incident data, not just feature descriptions — the meta copy is grounded but the SRE Agent framing is still aspirational.
Gartner Magic Quadrant Leader in 2025, named against Datadog and Dynatrace — this matches the pattern of durable category players, not the pivot-then-shutdown arc.
SRE and DevOps teams managing complex stacks who want a single platform with AI monitoring, OTel portability, and no DIY assembly.
You're a solo developer or small team — the per-user pricing at scale makes this expensive fast compared to Grafana-based alternatives.
Common questions answered by our AI research team
Yes. The SRE Agent moves beyond assistance to automated remediation, acting on issues without manual intervention.
Yes. New Relic supports OpenTelemetry as a universal, open standard for every signal, described as a way to future-proof your observability stack.
Yes. Infrastructure Monitoring manages cloud-native and Kubernetes environments with infrastructure health tied to applications, including cost optimization and full hybrid visibility.
Yes. A free tier is available via the 'Get Started Free' option on the homepage.
Yes. Session Replay with AI skips manual video searching—AI identifies friction points in user sessions, and Digital Experience Monitoring uses AI to pinpoint session friction and UX flaws before they impact margins.
Company
New Relic, Inc.Founded
2008Pricing
FreemiumFree Plan
Available
New Relic is a San Francisco-based observability company providing application performance monitoring, infrastructure monitoring, and log management, taken private by Francisco Partners and TPG in 2023.
