What's new from Grafana Labs

Last year, we migrated our dashboard architecture to the Scenes library, unlocking a more stable, dynamic, and flexible foundation for the future of Grafana dashboards. Today, we’re excited to showcase what the team has built on top of it, with a strong focus on improving core user workflows: navigating, consuming, and editing dashboards.

More efficient navigation and consumption

• Tabs for better organization: Build well-structured dashboards with tabbed layouts for different contexts and user groups.
• Conditional rendering: Show or hide visualizations based on variable selections or data availability, ensuring relevance. 
• Dashboard content outline: Navigate dashboards fast with this tree structure, making it easier to jump between sections.

Powerful dashboard editing

• New flexible panel layout options: Use custom or auto-grid panel layouts with adjustable settings, like column count, for adaptive dashboard behavior.
• Tabs and row grouping: Group panels into rows or tabs based on your needs. Nested grouping to support complex visual needs is also supported.
• Context-aware editing: Quickly modify tabs or rows, panels, and variables without diving into full edit mode.
• Intelligent side pane: The side pane user interface adapts to your selection, enabling fast actions like duplicating elements or setting layout options.

This is an experimental feature and should not be used in production environments, as it might result in a loss of data. If you are interested in enabling Dynamic Dashboards, please fill out this form.

Introducing new controls for Logs in Explore

We’re excited to introduce a new controls component for Logs in Explore, designed to make better use of the layout around logs, and give users greater flexibility when working with log data.

Dynamic Alerting with our Forecasting and Outlier Detection features now supports role-based access control by introducing the new roles ML Editor, ML Viewer, Sift Editor and Sift Viewer.

ML Editors can:

• Create/edit/delete forecasts and outlier detectors
• Create/edit/delete holidays

We’ve enhanced our GitHub Actions integration for k6, making it even easier to run performance tests seamlessly within your CI/CD pipelines.

Now, when executing k6 tests in the cloud from a GitHub Actions workflow, the pull request comments will automatically display a rich test summary. This includes key performance metrics like response times, request rates, pass/fail statuses and comparison with the baseline test runs—providing instant, actionable insights without leaving your development workflow.

We are excited to announce that you can now use Terraform to manage Frontend Observability resources.

You can configure a Terraform provider to connect to the Frontend Observability API and manage resources, such as applications.

Grafana Fleet Management now offers an audit trail of configuration pipeline changes. With the Pipelines history feature, your team can collaborate more efficiently, ensure audit compliance, and troubleshoot issues caused by configuration changes.

You can view all changes across all pipelines, review changes to a specific pipeline, compare differences between change events for a pipeline, or copy configuration syntax to revert to an earlier version of a pipeline.

Filter alerts by alert name for improved MTTR.

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.