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New Relic

Full-stack observability platform with AIOps capabilities for anomaly detection and root cause analysis

New Relic provides a comprehensive full-stack observability platform with AI-powered capabilities for anomaly detection, root cause analysis, and proactive alerting across applications, infrastructure, and digital experiences. Its applied intelligence features automatically correlate incidents from multiple sources, reduce alert noise through intelligent grouping, and suggest probable root causes by analyzing relationships between services, infrastructure components, and deployment events. The platform covers APM, distributed tracing, infrastructure monitoring, log management, browser monitoring, mobile monitoring, and synthetic checks.

New Relic offers a consumption-based pricing model where users pay for data ingested rather than per-host or per-seat, with a generous free tier that includes 100 GB of data ingest per month and one full-access user. Enterprise features include SAML SSO, SCIM provisioning, data partitioning for compliance, and FedRAMP authorization for US government workloads. The NRQL query language provides flexible ad-hoc analysis across all telemetry types, and custom dashboards can be shared across teams or embedded in internal tools.

New Relic is designed for development teams, SREs, and operations engineers who need unified observability without the complexity of managing multiple monitoring tools. Its differentiator is the combination of a truly consumption-based pricing model with full platform access at every tier -- unlike competitors that gate features behind enterprise SKUs, New Relic provides the same capabilities to free and paid users alike, with cost scaling based on actual data volume rather than feature access or host counts.

Strengths

  • +Generous free tier with full platform access
  • +AI-powered root cause analysis accelerates incident resolution
  • +Consumption-based pricing is more predictable than per-host models

Considerations

  • -Data ingest costs can be difficult to predict at scale
  • -Query language (NRQL) has a learning curve
  • -Some advanced features lag behind Datadog in maturity
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Pricing

Freemium

Category

AI DevOps & Infrastructure

Tags

observabilityapmroot-cause-analysisfull-stack-monitoring