Your cluster is healthy, or so kubectl get pods claims. Then you check New Relic, and half your volumes are ghosting you. Where did those metrics go? Longhorn has them. New Relic wants them. The trick is getting that data to flow without bolting on twenty sidecars or sacrificing security.
Longhorn is the open-source distributed block storage system built for Kubernetes. It delivers persistent volumes with snapshots, backups, and disaster recovery across clusters. New Relic is your full-stack observability platform, chewing through logs and metrics so your dashboards actually mean something. Put them together and you get deep visibility into your storage layer, not just your services.
To make that pairing work, you need one clear data path. Longhorn emits metrics from its instance managers and controllers through Prometheus endpoints. New Relic pulls that telemetry in using the Prometheus remote write integration or the New Relic Kubernetes agent. The moment those two start talking, your storage health, I/O performance, and snapshot timing hit your dashboards like magic. No dark corners, no opaque LUN charts. Just data that makes sense.
If you run a multi-tenant cluster or have strict RBAC, map each Longhorn namespace to its own New Relic account or tag hierarchy. Store credentials in Kubernetes secrets and rotate them using your identity provider, whether that’s Okta, AWS IAM, or any OIDC-based system. Audit every token exchange the same way you audit your CI pipelines. This keeps the integration secure and SOC 2-friendly without throttling developer autonomy.
Common setup checks:
- Validate that Longhorn’s metrics endpoint is reachable from the New Relic agent’s namespace.
- Ensure HTTPS endpoints are set if your Prometheus gateway proxies traffic.
- Map hostnames to static internal DNS entries to avoid intermittent metric gaps.
When Longhorn and New Relic are configured properly, the benefits stack up fast:
- Unified view of block storage performance and pod-level resource use.
- Faster detection of replica drift or degraded volumes.
- Simpler backup verification through correlated metrics.
- Reliable audit trails for every restore job.
- Reduced blind spots during scale-up events.
For developers, this integration wipes out a pile of manual queries. Fewer Slack pings asking “is storage slow?” and more direct answers from the dashboard. Developer velocity improves because debugging volume latency feels like reading a graph instead of a murder mystery.
Platforms like hoop.dev turn those access rules into guardrails that enforce policy automatically. Instead of manually wiring credentials between Longhorn and New Relic, you define who can reach what. hoop.dev’s identity-aware proxy ensures that every request to your metrics or dashboards is exactly as privileged as it needs to be, nothing more.
How do I connect Longhorn metrics to New Relic quickly?
Expose the Longhorn Prometheus endpoint in-cluster, point the New Relic agent or remote write config to it, and confirm sample ingestion. You should see longhorn_* metrics appear within a few minutes if permissions and connectivity are correct.
Why use Longhorn New Relic integration instead of a plain Prometheus dashboard?
Because New Relic correlates events across layers. You get the “why” behind a slow pod, not just the “what.” It ties your storage latency to app-level transactions, cutting mean time to insight in half.
AI-driven observability agents are starting to play here too. They surface anomalies across Longhorn volume patterns before they impact workloads. With good tagging and consistent telemetry, those insights become accurate instead of creepy guesses.
When you see every replica, backup, and restore aligned with live app traces, you stop guessing and start tuning. Longhorn New Relic takes your storage observability from reactive to automatic.
See an Environment Agnostic Identity-Aware Proxy in action with hoop.dev. Deploy it, connect your identity provider, and watch it protect your endpoints everywhere—live in minutes.