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Grafana Cloud
Knowledge graph
Grafana Cloud Knowledge Graph helps you troubleshoot faster by automatically discovering your services and infrastructure, generating insights about issues, and connecting metrics, logs, and traces in a unified workflow—no complex queries required.
Overview
The knowledge graph automatically discovers your services, infrastructure, and their relationships from telemetry data you’re already sending to Grafana Cloud. It continuously generates insights that highlight saturation, errors, anomalies, failures, and configuration changes—eliminating the need to write complex PromQL queries or manually maintain alert rules.
Instead of jumping between disconnected dashboards, you get a unified view where metrics, logs, and traces are pre-filtered to the entities you’re investigating. This accelerates troubleshooting and reduces the time to resolve incidents.
Explore
Introduction
Understand what the knowledge graph is, how insights work, and what problems it solves.
Get started
Activate the knowledge graph in just a few clicks using your existing Kubernetes or Application Observability data.
Use case workflows
Explore step-by-step workflows and best practices for common use cases in the knowledge graph.
Use the knowledge graph
Learn how to use the knowledge graph to identity entities that require investigation, perform root cause analysis, and troubleshoot your environment.
Reference
Technical reference documentation including insights categories, data processing, and causality.
Configure the knowledge graph
Customize entity discovery, configure custom insights, and manage dataset configuration for advanced use cases.
Enable Prometheus metrics collection
Enable Prometheus metrics collection on supported frameworks, data stores, and infrastructure components.
Manage with Terraform
Manage knowledge graph resources as code using Terraform for alerts, insights, and thresholds.
