Prometheus IntegrationOBSERVABILITY

Prometheus + NeuBird AI: From PromQL to Plain-Language Root Cause

NeuBird AI 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.

Scraped Metrics
Time Series Labels
Alert Rules
Recording Rules
Alertmanager Notifications
Scrape Targets
Service Discovery
PromQL Query Results
Metric Cardinality

< 5 min

Mean time to root cause

Zero

PromQL queries written by your team

All labels

Correlated across every dimension

24/7

Autonomous scrape monitoring

Core Capabilities

From signals to solutions

Prevent

Detect metric anomalies before alert thresholds fire

NeuBird AI 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 AI 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 AI 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 AI

CapabilityPrometheusNeuBird AI
Collect and store time-series metrics
Fire threshold-based alerts via Alertmanager
Query metrics with PromQLHandled automatically, no PromQL required
Correlate metrics with logs and tracesNone
Identify root cause across label dimensionsManual investigation
Detect anomalies before alert thresholdsNone
Link deploys to metric regressions automaticallyNone
Surface cardinality and cost optimization opportunitiesNone

Ecosystem

Works across your entire stack

Prometheus is one piece of the picture. NeuBird AI correlates its data with every other connected tool, so root cause never stops at one signal.

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 AI require changes to my Prometheus configuration?

No. NeuBird AI connects to Prometheus via its HTTP API using a read-only access token. No exporters, sidecars, or config changes are needed.

Can NeuBird AI read my Alertmanager alerts?

Yes. NeuBird AI 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 AI work with Prometheus-compatible systems like Thanos or Mimir?

Yes. NeuBird AI supports any Prometheus-compatible HTTP API endpoint, including Thanos, Cortex, Mimir, and VictoriaMetrics.

How does NeuBird AI handle high-cardinality metric environments?

NeuBird AI's context engine is designed for high-cardinality environments. It reads label metadata to build a topology model of your services, using that context to narrow correlation to the exact dimensions relevant to an incident.

Can NeuBird AI help us write better alert rules?

Yes. Based on observed metric patterns and past incidents, NeuBird AI can recommend new alert rules, identify redundant thresholds, and surface services that lack coverage entirely.

Get Started

Connect Prometheus to NeuBird AI.

Prometheus gives you the data. NeuBird AI gives you the answers: root cause, in minutes, across your entire stack.

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