Analytics and monitoring decision

New Relic

A competent engineer can build and run a usable core metrics/logs/dashboards stack (Prometheus/Grafana/Loki) for modest scale, but New Relic's AI-driven monitoring, large integrations catalogue, hosted scaling, and enterprise compliance are costly to replicate — keep paying if you need those features or scale.

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You pay

$10/mo

$120/yr

Per seat. Read off the official pricing page.

You’d pay instead

$50one-off30 h to build

$0/mo10 h/mo upkeep

On cash alone, building overtakes the subscription at 1 seat.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All New Relic alternatives, with the arithmetic →

What a replacement has to do

  • Collect telemetry (metrics, traces, logs), index/store events, run queries/dashboards, and alert on thresholds/anomalies.

What it still won’t have

  • AI/agentic monitoring and automated remediation (New Relic Autopilot / SRE Agent)
  • New Relic AI features such as session replay with AI and agent tracing for hallucinations
  • Advanced compute-based features (Transaction 360, Security RX, New Relic AI)
  • Large prebuilt integrations catalogue and out-of-the-box connectors
  • Enterprise SLAs, FedRAMP/HIPAA-ready Data Plus options, and hosted scale

What remains hard

  • Integration maintenance800+ pre-built integrations
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 1 seat.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal self-hosted observability stack using OpenTelemetry, Prometheus (metrics), Grafana (dashboards), Loki (logs) and Alertmanager. In scope: instrument one sample service (Node or Python) with OpenTelemetry, deploy Prometheus + Alertmanager + Grafana + Loki on a single VM or Kubernetes cluster, implement ingestion pipelines, store 30 days of metrics, create 5 dashboards, and configure basic threshold and anomaly alerts with webhook notifications. Out of scope: full APM distributed sampling optimization, session-replay UX tooling, enterprise compliance (FedRAMP/HIPAA), and advanced AI-driven root-cause analysis. Include error handling, deployment scripts (Helm manifests or Docker Compose), automated tests for ingestion/query paths, and README with upgrade and maintenance steps.
How we checked5 sources · 3/3 runs agreed · evidence score 67

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score67

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat quoted from the page