What’s new in Grafana Cloud

We are excited to announce role-based access control (RBAC) in Frontend Observability.

RBAC provides a standardized way of granting, changing, and revoking access when it comes to viewing and modifying Grafana resources, such as dashboards, reports, and administrative settings.

We are excited to introduce Geolocation Insights in Frontend Observability.

Frontend applications often serve a globally distributed user base, meaning that your users can be spread across multiple geographical regions and access your application from diverse locations. In some instances, a user’s location can affect the performance of web applications.

We are excited to announce the public preview of k6 extensions in Grafana Cloud k6.

k6 extensions are libraries that expand the k6 core functionality. For example, the faker k6 extension enables users to generate random fake data, which is not available on k6 by default. Extensions allow the k6 open source project to remain small and focused on its core functionality, but still provide users with a way to add new features to cover any use case, such as supporting a new network protocol.

We’re excited to announce the private preview release of new alerting capabilities for Synthetic Monitoring.

You can now create alerts for each check in your Synthetic Monitoring application. For example, you can create an alert based on the number of check failures in a specific time window, with different settings for each one of your checks.

We’ve just shipped a big update to our mobile app that many of you have been asking for - you can now edit incidents directly from your phone!

No more rushing back to your laptop when you notice a typo in an incident title or need to update the severity level while you’re away from your desk. Simply open the Grafana IRM mobile app, navigate to the incident, and make your changes on the spot.

The LLM plugin is Grafana’s access point for GenAI features within Grafana. With the LLM plugin, you can do the following things:

• AI-powered flame graph interpretation
• Incident auto-summary
• Dashboard panel title and description generation
• Explanations of error log lines in Sift

We now support the usage of Anthropic’s API alongside already existing support for OpenAI’s API, OpenAI-compatible APIs and custom APIs.

The Infinity data source plugin now supports gzip compression for outgoing requests by default, improving data transfer efficiency and dashboard performance. This enhancement reduces payload size, helping users working with large datasets or real-time dashboards experience faster load times and lower network strain.

Previously, adding gzip manually as a request header caused parsing issues. With this update, requests automatically include the Accept-Encoding: gzip header, ensuring smoother data retrieval and visualization.

The Infinity data source plugin now defaults to the backend parser when creating new queries in dashboards or Explore. Previously, the frontend parser was the default, limiting access to backend features like alerts, recorded queries, and public dashboards.

Existing queries using the frontend parser will continue to work as before. If any issues arise, switching the parser to Frontend in the query settings may help. This update improves compatibility with Grafana’s backend features from the start.

The Infinity data source plugin now allows passing Grafana metadata—such as user ID and data source UID—to underlying APIs as headers or query parameters. This gives data source admins more control over how metadata is shared with external APIs.

Admins can configure these settings at the data source level, ensuring that metadata is passed consistently while preventing users from overriding values in individual queries. Since different APIs require metadata in different formats, this feature offers flexibility in how values are forwarded.

The Infinity data source plugin now supports additional HTTP methods—PATCH, PUT, and DELETE—through the allowDangerousHTTPMethods configuration. This improvement gives you greater flexibility when interacting with APIs that require these methods, making it easier to work with a wider range of use cases.

Previously, Infinity only supported GET and POST, as it was designed for read-only queries. However, some use cases require modifying data via PATCH, PUT, or DELETE. Since these methods can perform destructive actions, they are disabled by default.

It’s easier than ever to stay on top of token rotation with these latest updates:

📩 Automated email reminders – Receive email notifications before a token expires, ensuring a seamless transition.

Get instant clarity when a panel isn’t showing any data or inaccurate data. Use Debug Metrics to learn if all the required metrics that power your panel are available and properly labeled.

With Debug Metrics, you have:

• Faster issue detection when data looks off
• Immediate insights to restore accuracy
• More confidence in your data-driven decisions

Grafana Cloud now supports native cross-region connectivity using AWS PrivateLink.

Previously, AWS PrivateLink only supported connectivity to VPC endpoint services in the same region. Connecting to services in a different region required setting VPC Peering between both regions, and this was complicated in some environments.

Grafana OnCall and Grafana Incident are now unified into a single application: Grafana IRM. This update simplifies workflows, consolidates configurations, and provides a more integrated experience for managing on-call schedules, alert escalations, and incident response. Changes include:

• One app for on-call and incident response – On-call and incident settings are now managed in a single location. No more switching between separate apps in Grafana Cloud.
• New My IRM dashboard – Get a complete view of ongoing alerts and incidents in one place.
• Seamless transition – Existing OnCall and Incident users retain all data; all on-call schedules, integrations, and settings remain intact.

The Grafana Cloud IRM app is gradually rolling out between March 17-24, 2025, and will be available in all Cloud instances by the end of March.

When you configure Kubernetes Monitoring, you can select Fleet Management for monitoring, configuring, and managing your Alloy deployments.

Additional buttons are available on any Cluster detail page for you to immediately access the namespaces and workloads on the Cluster.