Breaking: Grafana Cloud Introduces Customizable Cloud Provider Observability Views
In a major update announced today, Grafana Cloud now allows users to fully customize preconfigured observability dashboards for AWS, Azure, and Google Cloud services. This means teams can tailor instance-level drill-downs, connect existing dashboards, and even generate AI-powered views—all without leaving the platform.
“We’ve heard loud and clear that one-size-fits-all dashboards don’t cut it for complex cloud environments,” said Dr. Lena Torres, Senior Product Manager for Cloud Observability at Grafana Labs. “This feature puts the user in the driver’s seat, letting them blend our built-in views with their own workflows.”
Three New Ways to Customize
The customization lives on each service’s Configure page—accessible via the Services tab. Users can:
- Connect an existing dashboard as a quick link or default view for any cloud service.
- Create a new dashboard with AI (using Grafana’s AI-powered generator) and wire it into the same workflow paths.
- Edit the instance drill-down panels that appear across Cloud Provider Observability, Database Observability, and the entity graph.
“The instance-level view is the same everywhere now,” added Raj Patel, a DevOps architect at a large financial firm who beta-tested the feature. “When I tweak the drill-down for a single EC2 instance, it updates everywhere—services, database views, you name it.”
Benefits at a Glance
The update delivers three key capabilities: Quick links and default dashboards so users see the right view from any entry point; consistent instance drill-downs across all surfaces; and AI-generated dashboards that fit seamlessly into existing debugging paths.
Customization is service-specific. For example, changes made to Amazon RDS do not affect Azure Virtual Machines. Everything is saved per service and reused automatically in Grafana’s navigation.
Background: The Rise of Cloud Provider Observability
Grafana Cloud launched Cloud Provider Observability earlier this year as a unified way to monitor AWS, Azure, and Google Cloud. It prebuilt dashboards for hundreds of services, but users wanted flexibility. “We saw customers with mature internal dashboards who still needed a fast path to instance-level data,” Torres explained.
Before today, users could not alter these views without building separate dashboards and jumping between apps. Now, the Configure page acts as a single control center for each cloud service, storing all customizations.
What This Means for DevOps and Platform Teams
For organizations managing multi-cloud environments, the change reduces context switching. Teams can keep their trusted dashboards as default views while retaining Grafana’s quick-access links to explore raw metrics. Instance-level drill-downs become uniform across observability tools—no more inconsistent panels between Cloud Provider and Database Observability.
“We estimate this can cut troubleshooting time by 20%,” said Torres. “Engineers no longer have to mentally map one view to another.” AI-generated dashboards add a further shortcut, giving teams a starting point that respects Grafana’s recommended variables and methodology.
The update is rolling out now to all Grafana Cloud users. No additional configuration is required—just navigate to the Services tab and click Configure on any supported cloud service.