Writing PPL queries in the Grafana OpenSearch plugin just got easier with syntax highlighting, suggestions and sample queries.

The PPL query editor now contains a multi-line box which supports syntax highlighting, PPL keywords and commands suggestions, and index fields. To see the new features in action, select PPL in the Query type dropdown of the query editor and start typing. Specify index name(s) in the datasource configuration to narrow down the list of suggested index fields.

We have also added a “Kickstart your query” button to the PPL query editor, which contains useful sample queries. Select a query to copy it to the query editor and edit it further.

With log anomalies and patterns features, you can now detect abnormalities in your service and group log entries with recurring patterns with the CloudWatch data source.

Log Anomalies

The Grafana Incident Response and Management (IRM) Slack app is now officially approved and available in the Slack App Marketplace.

You can use Grafana Assistant in Kubernetes Monitoring to:

• Explain the data you see in a panel or on a detail page
• Start an investigation for potential issues
• Review the health of Kubernetes objects and resource consumption
• Provide recommendations
• Launch an investigation
• Follow any additional queries or commands you give it

To use the Assistant, click any Assistant icon available on a panel.

The new Switch template variable type replaces cumbersome drop-down menus with an intuitive toggle interface. Configure any two values—true/false, 1/0, yes/no, or custom pairs—and control boolean states across your dashboard with a single click. Perfect for toggling debug modes, filters, or any conditional logic.

We are thrilled to announce that Native Histograms are now generally available (GA)!

This milestone comes after three years of dedicated development, bringing a powerful data type to Prometheus users.

We’re excited to announce the addition of the Panel time settings drawer in visualizations. With this feature, you can access key panel-specific time settings without editing the dashboard:

We are very excited to release a completely redesigned logs visualization!

The logs visualization is one of the core visualizations of Grafana, and we’ve rebuilt it from the ground up to not only address performance issues, but also add many new features and display options to innovate in the space and provide the best possible log browsing experience, such as:

As part of the recently redesigned logs visualization, we’re now adding a new component to interact with fields in log lines, making it easier than ever to toggle fields on and off and customize the display order.

GCP Private Service Connect (PSC) provides private connectivity between private networks and supported GCP services without exposing your traffic to the public internet.

With GCP PSC for Grafana Private DataSource Connect (PDC), you can connect your PDC agents running in your GCP private network to Grafana Cloud while staying on the GCP network.

Save money and apply an extra layer of network security by using GCP Private Service Connect to send telemetry data to Grafana Cloud.

Normally when you send telemetry from your GCP network to Grafana Cloud, you incur in network egress fees and your data, though encrypted, traverses the public internet.

Sharing your Grafana dashboards just got easier. You can now export any dashboard as a PNG image.

Use the Export as image option to generate an image:

Grafana Team LBAC: Performance Considerations

What We’ve Improved

Storage Capacity

We previously had a limitation of about 500 LBAC rules per data source, which was challenging for some customers who needed more rules to meet their requirements. We’ve resolved this by expanding our storage capacity, allowing for significantly more rules to be stored.

We’ve added support for Databricks Unity Catalog, enabling secure and consistent access to governed data directly within Grafana.

This enhancement allows users to easily query and visualize datasets registered in Unity Catalog while maintaining the same fine-grained permissions and lineage tracking defined in Databricks. With this integration, teams can build dashboards confidently knowing their data follows centralized governance, access control, and compliance standards across all workspaces.

We recently introduced the ability to save queries in Dashboards and Explore—now we’ve extended this functionality to dashboard annotations. With this addition, you can save, reuse, and share annotation queries with others in your organization.