Streamwake + New Relic.
Streamwake incidents stream into New Relic as typed events with viewer impact + root-cause confidence — re-rendered into the same dashboard panel + alert policy the operator already polls.
Streamwake incidents stream into New Relic as typed events with viewer impact + root-cause confidence. Pre-built NRQL queries, Metric API metric families, and a streamwake event type kept bi-directional end to end with the same panel and the same alert policy the operator already polls — so a remediated incident flow back into New Relic the moment the loop closes.
New Relic nr insights — custom events + metric api + dashboard panels + alert policies. Streamwake doesn't replace New Relic— we correlate its signals and drive remediation on the anomalies it already surfaces.
What New Relic owns. What Streamwake runs on top.
Honest framing of the surface the vendor owns and the surface Streamwake runs on top of it. Both layers run together in production — same signal bus, different obligations.
NR Insights + NRQL queries
Metric API + dashboard panels + alert policies
Detect → Classify → Emit into NR Insights + bi-directional sync
NRQL queries + dashboard panel updates
An incident closed
before your viewers notice.
Four steps from a New Relicanomaly to a closed incident with a typed postmortem. Read top to bottom — the loop is closed end to end.
- 1
Ingest Streamwake incidents
Streamwake classifies the incident as it closes and emits a typed event into New Relic Insights as the streamwake event_type (one row per incident — manifest_drift / cdn_brownout / per_title_encoder_regression / drm_cert_failure) carrying viewer impact + a typed root-cause confidence.
- 2
Emit into NR Insights + Metric API
The same incident fans a Metric API metric family the same window (streamwake.<failure_mode>.<metric>) so a single NRQL query can group + rank by the same typed classification the agent already emitted, and so the metric family AND the event hand off bi-directionally against the same dashboard panel the operator runs.
- 3
Re-render into the same NR dashboard
The Streamwake incident re-renders into the existing NR dashboard panel — the panel the operator already polls — at the typed confidence + the typed remediation applied. No new panel surfaced; the existing panel narrates the fix the moment the loop closes.
- 4
Update the NR alert policy
The NR alert policy authoring is updated end to end — the rule the agent read is the rule the agent re-anchored, the threshold the agent trips is the threshold the agent re-curves, and the policy + the workflow routing the operator already wired (Slack / PagerDuty / Opsgenie / Email) carries the next incident. Bi-directional, on operator-owned NR, no SaaS telemetry plane in the middle.
Four failure modes New Relic alerts alone miss.
Each one is something the New Relicsignal exposes but the agent loop names and acts on — so a chart becomes a closed incident rather than a triage queue.
Typed Confidence Skew
A typed root-cause confidence (e.g. 87% manifest_drift vs 12% cdn_brownout) that drifts from the real signal — too high and the alert policy fires on a chart that has not yet broken; too low and the same chart trips a different alert the operator has silenced. NR reads the event; Streamwake catches the confidence-vs-real-skew on the same bus and re-anchors the confidence curve to the current signal so the next event lands in lockstep with the alert policy the operator already wired.
Alert Policy Threshold Skew
A NR alert policy threshold drifted away from real burn-rate — the alert that required a sustained breach now trips on a single roll-up that the burn-rate math already screens out. NR fires the policy; Streamwake catches the threshold-vs-burn-rate skew the moment two consecutive windows disagree and re-anchors the threshold to the burn-rate curve before the next brown-out trips the wrong policy.
NRQL Vs Burn-rate Skew
A NRQL query the operator authored against the streamwake event_type drifted from the real burn-rate — the FACET clause that grouped by eventType now aggregates against a metric the operator added mid-cycle, so the chart is dead-but-green until the next stress window opens. Streamwake catches the NRQL-vs-burn-rate skew on the same bus, surfaces the FACET/metric hypothesis, and re-anchors the NRQL to the actual event_type + metric pair so the panel re-renders onto the real burn-rate curve.
Dashboard Panel No-data
A NR dashboard panel that should narrate the streamwake event_type + Metric API metric family suddenly reports "no data" — typically the NRQL query nested an eventType too aggressively, the metric family prefix was renamed in the operator account, or the alert policy workflow was routed to a Slack channel that no longer exists. Streamwake catches the panel-vs-busy-room skew on the same bus and surfaces a typed next-action (re-pin the NRQL, re-issue the metric family prefix, repair the workflow routing) so the panel the operator already polls is the panel that re-renders onto the next streamwake event.
Monitor your New Relic stream free.
Next to New Relic.
Paste your New Relic dashboard URL or NRQL query — /stream-check runs the same five checks (manifest, segments, bitrate ladder, CDN response, playback errors) in under a minute. No login. Pair it with the Book-a-demo block below for a guided walkthrough of the streamwake event_type + Metric API bi-directional sync lane.
Manifest drift caught between the streamwake event_type and the operator's NRQL.
streamwake.event_type.manifest_drift.count surface drifted to 184 events / 90 s vs 11 events / 90 s baseline — a 16.7× emit spikeon a primetime stream, matched against a target-duration skew landing between an HLS manifest URI silently skipping unavailable segments after an encoder-stage cutover + a packager roll. The operator's NRQL was already FACET eventType against the streamwake event_type, but the metric family the operator paired it with (the Metric API gauge, not the count) had been renamed mid-cycle.
The agent classified it as streamwake_manifest_drift at 87% confidence, emitted a Metric API family reset + a NRQL FACET re-anchor, and closed the incident by pushing a typed event back into New Relic as streamwake.metric_family.remediation.applied — the same EventType facet on the operator's dashboard panel re-rendered the fix within 12 minutes.
Direct mapping to the Streamwake streamwake event_type lane — the same NR Insights event the agent emitted is the same event a typed-confidence skew / an alert-policy threshold skew / a NRQL vs burn-rate skew / a dashboard-panel no-data rides onto the bus. The agent that closed the primetime manifest-drift incident is the same one that re-anchors the confidence curve the second it drifts from the real signal, re-curves an alert policy threshold before the next brown-out trips the wrong policy, repairs a FACET/metric drift the moment the panel goes dead-but-green, and re-pins the NRQL the moment a dashboard panel reports no-data.
Book a 20-minute walkthrough on your NR Insights event stream + Metric API + alert policies.
We're happy to walk through how the manifest-drift, cdn-brownout, per-title-encoder-regression, and drm-cert-failure probes map onto the same NR Insights event_type + Metric API families + dashboard panels + alert policies you already run. Drop your details below and we'll follow up within 1 business day.