Prometheus + NeuBird: From PromQL to Plain-Language Root Cause
NeuBird reads every scraped metric, recording rule, and firing alert from Prometheus, correlating them against your full stack to deliver root cause analysis without a single PromQL query.
In place
Data queried where it lives, never copied
Every agent
Inherits the connection once it is made
100%
Human-approved actions
Full
Audit trail on every action
Core Capabilities
From signals to solutions
Prevent
Detect metric anomalies before alert thresholds fire
NeuBird continuously reads Prometheus scrape data, comparing current metric trajectories against historical baselines across all label dimensions, catching service degradation, error rate creep, and saturation trends before they breach your alert thresholds.
- Baseline deviation detection across all scraped targets and label sets
- Correlates new deployments (via CI/CD integrations) with emerging metric shifts
- Surfaces risky changes before they escalate to a PagerDuty wake-up
Resolve
Cross-metric root cause without writing a single PromQL query
When Alertmanager fires, NeuBird pulls from Prometheus and every other connected tool simultaneously, correlating error rates, latency histograms, saturation metrics, and infrastructure signals into a precise, actionable root cause.
- Automatic correlation across Prometheus metrics, logs, and traces
- Label-aware analysis: instantly isolates the exact instance, pod, or region at fault
- Evidence-based RCA delivered in plain language to your incident channel
Operate
Reduce cardinality, fix scrape gaps, cut storage costs
NeuBird analyzes your Prometheus metric cardinality, scrape interval mismatches, and unused recording rules to surface cost-saving opportunities and observability blind spots your team hasn't had bandwidth to address.
- Identify high-cardinality label explosions burning storage and query performance
- Detect services missing Prometheus instrumentation
- Recommend recording rule consolidation and retention right-sizing
Better Together
Prometheus + NeuBird
| Capability | Prometheus | NeuBird |
|---|---|---|
| Collect and store time-series metrics | ✓ | Queried in place, zero telemetry storage |
| Fire threshold-based alerts via Alertmanager | ✓ | ✓ |
| Query metrics with PromQL | ✓ | Handled automatically, no PromQL required |
| Correlate metrics with logs and traces | None | ✓ |
| Identify root cause across label dimensions | Manual investigation | ✓ |
| Detect anomalies before alert thresholds | None | ✓ |
| Link deploys to metric regressions automatically | None | ✓ |
| Surface cardinality and cost optimization opportunities | None | ✓ |
Ecosystem
Works across your entire stack
Prometheus is one piece of the picture. NeuBird queries it in place and correlates it with every other connected tool, and every agent in the center inherits the connection.
Visualization
- Grafana
- Perses
- Thanos
- Mimir
Long-Term Storage
- Thanos
- Cortex
- VictoriaMetrics
- InfluxDB
Alerting
- Alertmanager
- PagerDuty
- OpsGenie
- Slack
Instrumentation
- OpenTelemetry
- Micrometer
- Prometheus client libraries
- Telegraf
FAQ
Common questions
Does NeuBird require changes to my Prometheus configuration?
No. NeuBird connects to Prometheus via its HTTP API using a scoped, least-privilege access token. No exporters, sidecars, or config changes are needed.
Can NeuBird read my Alertmanager alerts?
Yes. NeuBird reads Alertmanager alert state and notification history as additional signal inputs, correlating them with the underlying metric data to build a complete incident picture.
Does NeuBird work with Prometheus-compatible systems like Thanos or Mimir?
Yes. NeuBird supports any Prometheus-compatible HTTP API endpoint, including Thanos, Cortex, Mimir, and VictoriaMetrics.
How does NeuBird handle high-cardinality metric environments?
NeuBird's Context Engineering is designed for high-cardinality environments. It reads label metadata to build a topology model of your services, with zero telemetry storage, using that context to narrow correlation to the exact dimensions relevant to an incident.
Can NeuBird help us write better alert rules?
Yes. Based on observed metric patterns and past incidents, NeuBird can recommend new alert rules, identify redundant thresholds, and surface services that lack coverage entirely.
Get Started
Connect Prometheus to the center.
Prometheus gives you the data. Connect it to NeuBird once, and every agent that touches production inherits it, including the ones you build yourself.