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Infrastructure as code

Manage Knowledge Graph in Grafana Cloud using Terraform

Grafana Cloud

Manage Knowledge Graph using Terraform

Use Terraform to manage Grafana Cloud Knowledge Graph resources as code. Configure the Knowledge Graph stack, notification alerts, suppressed assertions, custom model rules, log configurations, and threshold configurations using infrastructure as code best practices.

Overview

Terraform enables you to manage Grafana Cloud Knowledge Graph resources using infrastructure as code. With Terraform, you can define, version control, and deploy Knowledge Graph configurations including stack onboarding, alert rules, suppression policies, entity models, log, trace, and profile correlations, and thresholds.

Explore

Get started with Terraform

Learn how to set up Terraform provider and configure your environment for managing Knowledge Graph resources.

Knowledge Graph stack

Configure the Knowledge Graph stack with token provisioning, dataset configuration, and stack enablement.

Notification alerts

Configure notification alerts to manage how alerts are processed and routed in your Knowledge Graph.

Suppressed assertions

Define suppression rules to temporarily disable specific alerts during maintenance windows or testing.

Custom model rules

Create custom entity models and define how entities are discovered based on Prometheus queries.

Log configurations

Configure log data correlation with entities using data source mappings and filtering options.

Trace configurations

Configure trace data correlation with entities using data source mappings and filtering options.

Profile configurations

Set up profile data correlation with entities using data source mappings and filtering options.

Set custom thresholds for request, resource, and health assertions to monitor your services.

Prometheus rules

Define custom Prometheus recording and alerting rules that are evaluated against your metrics data.

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