7 Essential Tips for Tailoring Cloud Provider Views in Grafana Cloud

Grafana Cloud's Cloud Provider Observability is a powerful tool for monitoring AWS, Azure, and Google Cloud resources, offering prebuilt dashboards and drill-downs out of the box. However, every team has unique workflows, preferred dashboards, and specific metrics they focus on. The great news is that you can now customize these preconfigured views without leaving the app. This article walks you through seven key ways to make service views your own—from connecting existing dashboards and using AI to generate new ones, to editing instance-level drill-down panels. By the end, you'll know how to tailor the experience for your team, ensuring consistency across all observability surfaces. Let's dive in.

1. Understand the Three Core Customization Options

Before you start tweaking, it helps to know the three main levers you can pull. First, you can connect an existing dashboard as a quick link and optionally set it as the default view for a service. Second, AI-generated dashboards allow you to create new monitoring views with the right variables, then plug them into the same workflows. Third, you can edit the instance drill-down panels that appear everywhere—from Cloud Provider Observability to Database Observability and the entity graph. Each option addresses a different need: keeping trusted dashboards, creating new ones quickly, or refining per-instance details. Mastering these three capabilities gives you full control over how your cloud data is presented, without sacrificing the convenience of the built-in views.

2. Navigate to the Configure Page for Each Service

Customization lives on the configure page for each cloud service—for example, Amazon RDS, GCP Cloud SQL, or Azure Virtual Machines. To access it, go to the Services tab in Cloud Provider Observability, find the service you want to edit, and click Configure. On that page you'll see three sections: a preconfigured dashboard (the built-in view), custom dashboards you've added as quick links (with one marked as default), and links for metrics exploration. Every change you make here is saved per service and automatically reused wherever that service appears in Grafana—services tab, entity graph, Database Observability, and more. This centralized setup ensures you only need to tweak things once, and the improvements propagate everywhere.

3. Connect an Existing Dashboard as a Quick Link

If your team already relies on a custom dashboard for a service like AWS Lambda or Azure VMs, you can attach it directly as a quick link. On the configure page for that service, locate the section titled Customize your quick links and add new ones to your custom dashboards. Under Select a dashboard, choose from your existing dashboards. Once added, this dashboard becomes a clickable link alongside the default preconfigured view. This is ideal if you have dashboards built over time that capture exactly the metrics your team cares about—without forcing you to rebuild from scratch. You can add multiple custom dashboards, and each one will appear as a quick link, making it easy to switch between perspectives.

4. Set a Custom Dashboard as the Default View

Beyond adding quick links, you can promote one of your custom dashboards to be the default view for a service. On the same configure page, simply use the Set as default option next to your custom dashboard. This means whenever a user opens that service from the services tab, entity graph, or any entry point, they'll see your chosen dashboard instead of the out-of-the-box one. This is particularly useful if your internal dashboards have become the de facto standard for your team. The preconfigured view remains available as a fallback, but the default ensures everyone lands on the view you trust most. Quick links you add also stay, so you have both the default and alternative views at your fingertips.

5. Leverage AI to Generate New Dashboards

Don't have a suitable existing dashboard? Grafana now lets you create new ones using AI. You can generate a dashboard with the right variables and methodology for any cloud service, then add it just like any other custom dashboard. After generation, you can optionally set it as the default view for that service. The AI understands common monitoring patterns (e.g., CPU, memory, latency) and creates panels that are immediately useful. This is a huge time-saver when you're exploring a new service or need a fresh perspective. Once created, the AI-generated dashboard integrates seamlessly into the same workflows and debugging paths as any other custom view—so your team can benefit from AI-powered insights without leaving the familiar Grafana environment.

6. Tailor the Instance Drill-Down Panels

One of the most powerful customization options is editing the panels that appear when you drill down into a single instance. On the configure page, look for the Customize the panels… option. Here you can change the queries and panels that render in the instance-level view—everywhere that view is used, including Cloud Provider Observability, Database Observability, the entity graph, and other surfaces. This means you can ensure that when you click on a specific VM, database, or compute instance, you see exactly the metrics and visualizations your team needs for troubleshooting. Consistency across surfaces is a huge win: you don't have to maintain multiple drill-down configurations. Just tweak it once, and it applies universally.

7. Ensure Consistency Across Observability Surfaces

By combining the three customization options—quick links, default dashboards, and instance drill-down edits—you create a consistent monitoring experience across Grafana. The quick links and default dashboard you set on the configure page control what users see when they open a service from the services tab, entity graph, or other entry points. The instance drill-down panels you customize are rendered identically in Cloud Provider Observability, Database Observability, the entity graph, and beyond. And any AI-generated dashboards you add fit into the same workflows. This means your team doesn't have to adapt to different views in different places. Everything flows seamlessly, reducing context switching and speeding up root-cause analysis.

Customizing preconfigured views in Grafana Cloud is no longer a chore—it's a straightforward process that respects your existing dashboards while offering AI-driven innovation and consistent drill-down details. Whether you're connecting trusted dashboards, generating new ones with AI, or fine-tuning instance-level panels, the configure page gives you a single place to manage it all. Start by exploring one service you monitor frequently, and experiment with these seven tips. You'll quickly see how small tweaks can dramatically improve your team's daily workflow and confidence in your cloud observability.