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Connective intelligence layer

Connective intelligence with Knowledge Graph

Knowledge Graph is the connective intelligence foundation built into Grafana Cloud:

  • The engine that powers the opinionated observability experience across turnkey solutions (Kubernetes Monitoring, Application Observability, Database Observability, and Frontend Observability)
  • Automatically discovers your services, infrastructure, and databases, maps how they depend on each other
  • Continuously analyzes your environment for issues
    Knowledge Graph: automatic mapping, detection, and investigation
Try it out in Grafana Play

Core capabilities

  • Entity Catalog, where you can view all entities (services, hosts, pods, databases) and their relationships
  • RCA (root cause analysis) Workbench, where you view correlated metrics, logs, traces, and insights on a timeline for guided investigation
  • Insights, which surfaces five categories of issues:
    • Saturation: Resources approaching limits (CPU, memory, disk, connections)
    • Amend: Deployments, config changes, scale events
    • Anomaly: Unusual patterns in traffic or behavior (request rate spikes or drops, latency changes)
    • Failure: System deviating from desired state (pod crashes, missing Redis master, controller errors)
    • Error: Problematic requests (5xx errors, latency threshold breaches, error log rate breaches)

Script

The typical investigation means scanning dashboards, switching to logs, and correlating timestamps across views. That manual correlation is the real cost. Knowledge Graph eliminates it: it maps your system automatically and surfaces issues without you configuring anything, so problems come to you.
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