By leveraging Grafana Cloud Synthetic Monitoring with Terraform, you can version, review, and deploy changes to your checks using the same workflows you use for the rest of your infrastructure.

Grafana is an open-source analytics and monitoring platform that allows users to visualize and analyze metrics from various data sources. The Grafana blog covers topics such as data visualization, monitoring best practices, and new features in Grafana software. Developers and data engineers can learn how to leverage Grafana for monitoring infrastructure, analyzing performance metrics, and creating interactive dashboards for data-driven decision-making.

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Managing Grafana Cloud Synthetic Monitoring checks manually in the UI becomes error-prone at scale. Using Terraform to define checks as code enables version control, consistent configurations across environments, and CI/CD integration. The workflow involves prototyping a check in the Grafana UI, generating an access token and API endpoint URL, configuring the Terraform provider, exporting the check as HCL, and then using terraform apply to deploy and manage updates. Once Terraform owns the state, UI edits should be avoided to prevent configuration drift.

How to manage synthetic monitoring checks as code with Terraform and Grafana Cloud

The Terraform workflow for synthetic monitoring checks