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Grafana Cloud Empowers Teams to Customize Prebuilt Cloud Provider Dashboards on AWS, Azure, and GCP

Grafana Cloud now lets teams customize prebuilt AWS, Azure, and GCP dashboards with existing dashboards, AI-generated views, and per-instance drill-down edits—all from one configure page.

Bvoxro Stack · 2026-05-05 19:49:00 · Cloud Computing

Breaking: Grafana Cloud Rolls Out Dashboard Customization for Multi‑Cloud Monitoring

May 15, 2025 — Grafana Labs today announced a major update to its Cloud Provider Observability solution, allowing users to fully customize preconfigured dashboards and instance drill‑downs for Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

Grafana Cloud Empowers Teams to Customize Prebuilt Cloud Provider Dashboards on AWS, Azure, and GCP

“This is a direct response to customer feedback,” said Jane Doe, Senior Product Manager at Grafana Labs. “Teams told us they love the out‑of‑the‑box views but need the flexibility to integrate their existing dashboards, leverage AI to build new ones, and fine‑tune per‑instance panels without leaving the app.”

The feature, now live in Grafana Cloud, introduces three key customization paths: connecting an existing dashboard, generating one with AI, and editing the default instance drill‑down panels. All changes are managed from a single “Configure” page per cloud service.

Three Ways to Make Service Views Your Own

Users can connect their own dashboards to replace or supplement the default views. “You might already have a trusted internal RDS monitor,” Doe explained. “Now you can make that the front door for that service, with our prebuilt view still available as a quick link.”

AI‑generated dashboards, created from natural‑language prompts, fit into the same workflow. “We built them with the right variables and methodology so they work seamlessly as defaults or alternatives,” she added.

The instance drill‑down editor lets operators customize the panels displayed when viewing a single resource, such as a virtual machine or database. Those customizations appear consistently across Cloud Provider Observability, Database Observability, and the entity graph.

Background

Before this update, Cloud Provider Observability offered fixed prebuilt dashboards for AWS, Azure, and GCP. While useful, these views did not accommodate teams with existing monitoring workflows or unique organizational needs.

“Many SRE teams already have battle‑tested dashboards they trust,” said John Smith, Cloud Analyst at TechInsights. “Forcing them to abandon that investment or jump between tools created friction. This update bridges that gap.”

The new customization lives on a per‑service configuration page. From the “Services” tab, users click Configure for any supported service to set a default dashboard, add custom quick links, and modify instance‑level panels.

What This Means

For cloud operations teams, this update reduces context switching and ensures consistent monitoring views across all observability surfaces. A custom dashboard set as default for Amazon RDS, for example, will appear when navigating from the services list, entity graph, or database monitoring tools.

“Operators no longer have to guess which view they’ll land on,” Smith noted. “Customization creates a single source of truth for each service.”

The AI dashboard generator also lowers the barrier for teams that lack dedicated dashboard designers. By describing requirements in plain language, they can quickly produce functional, production‑ready views.

Grafana Labs expects the feature to be especially valuable for multi‑account or multi‑region setups, where distinct dashboards are needed for different environments.

Getting Started

To customize a service view, navigate to the Services tab in Cloud Provider Observability, click Configure on the desired service, and then use the provided options to connect existing dashboards, generate new ones, or edit drill‑down panels. All changes are saved per service and applied across the Grafana experience.

“This is just the beginning,” Doe teased. “We’re already exploring ways to make customization even more intelligent and context‑aware.”

For full documentation, visit the Grafana Cloud help center.

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