What's new from Grafana Labs
Grafana Labs products, projects, and features can go through multiple release stages before becoming generally available. These stages in the release life cycle can present varying degrees of stability and support. For more information, refer to release life cycle for Grafana Labs.

Loading...
Area of interest:
Cloud availability:
Cloud editions:
Self-managed availability:
Self-managed editions:
No results found. Please adjust your filters or search criteria.
There was an error with your request.
Page:
You can now view percent change in stat visualizations. This makes it easier to understand your data by showing how metrics are changing over time.
Introducing Multi-Stack Data Sources
It’s complicated to query across multiple data sources if you store your metrics or logs across separate tenants.
We’ve identified a need for users who enable anonymous authentication to monitor the anonymous devices connected to their Grafana instance. This feature is part of our ongoing efforts to enhance control and transparency regarding anonymous usage.
Anonymous access now allows users, including those in open-source and enterprise self-managed environments, to view and monitor their anonymous access. They can also set a device limit, configuring a specific number of anonymous devices to connect to their instance.
Using Trace to profiles, you can use Grafana’s ability to correlate different signals by adding the functionality to link between traces and profiles.
Trace to profiles lets you link your Grafana Pyroscope data source to tracing data. When configured, this connection lets you run queries from a trace span into the profile data.
Throughout Kubernetes Monitoring, hover to reveal the copy icon. You can click to copy any text so that you can:
- Use it in your own query.
- Paste it in the command line.
- Send it to others.
The improved navigation menu gives you a better overview by showing all levels of navigation items in a more compact design. We also implemented a better dock and imprved scrolling behavior. Furthermore, we improved the structure of the nav menu and added several new items.
Table view was created to help facilitate ease of use in a point and click UI, as opposed to data source specific query language formatting options, like loki’s line_format.
Tables can be configured and shared with team members via explore URLs or by adding the table to a dashboard panel.
Plugins can now add custom actions into Grafana’s command palette. Actions can link directly to a plugin page, or open a modal to allow users to interact with a plugin without losing their current page.
In Grafana Cloud you can use the new ‘Run investigation’ action to start a Sift investigation from anywhere in Grafana. Keep an eye out for new actions appearing in your command palette in the near future!
Grafana AWS observability introduces monitoring for your EC2 instances, all within an embedded experience, and without the need for managing or configuring local agents or building dashboards.
From the list of scrape jobs, you can navigate to your list of EC2 instances shown on the Overview tab, and drill into instance details.
Cost monitoring and investigation and troubleshooting of CPU and memory usage are now easier for both Clusters and Nodes. Go to the optimization panels for the Cluster and Node detail pages to view the CPU and memory utilization, as well as cost information.
These graphs show a history based on the time range you select.
The Metrics status tab, which shows the configuration status of Kubernetes Monitoring components, is updated for better usability and quicker comprehension.
When configuring Kubernetes Monitoring with the streamlined configuration wizard that uses Grafana Kubernetes Helm Chart, you can select the platform you are using.
CPU and memory usage graphs and details, along with associated costs, are available on these pages in Kubernetes Monitoring:
- Namespace details page
- Workload detail page
(Release 1.5.0)