What's new from Grafana Labs

View the details of any container, pod, workload & namespace with these improved pages, which include CPU and memory utilization graphs and cost details.

The container page also shows adjacent restart and termination panels so you can visually correlate more quickly the restart and termination events, along with the reason for termination.

To aid in understanding historical data, a time range selector is available on every page of Kubernetes Monitoring where this function is appropriate. This selector is also available on the Workloads detail page, for detecting outlier CPU usage in the Pods. (Release 1.4.0)

Sometimes profile stacks contain lots of levels with similar repeating items, for example long stacks of framework code that usually isn’t of interest but takes up a lot of visual real estate. With this feature, instead of rendering all of the similar items we render only one and allow to expand those collapsed items on demand.

To try it out, enable the ‘traceToProfiles’ feature toggle. To enable it in your Grafana Cloud stack, contact Grafana Support.

The Contact points list view has been redesigned and split into two tabs: Contact Points and Notification Templates, making it easier to view all contact point information at a glance. You can now search for name and type of contact points and integrations, view how many notification policies each contact point is being used for, and navigate directly to the linked notification policies.

We’ve added an Aggregate By option to the TraceQL query editor to leverage Grafana Cloud Traces’ metrics summary API. You can calculate RED metrics (total span count, percent erroring spans, and latency information) for spans of kind=server received in the last hour that match your filter criteria, grouped by whatever attributes you specify.

This feature is disabled by default. To enable it, file contact Grafana Support.

Use Alerting insights to monitor your alerting data, discover key trends about your organization’s alert management performance, and find patterns in why things go wrong.

Export your alerting resources, such as alert rules, contact points, and notification policies as Terraform resources. A new “Modify export” mode for alert rules enables you to edit provisioned alert rules and export a modified version.

You can now add buttons to your canvas visualizations. Buttons can be configured to call an API endpoint. This pushes Grafana’s capabilities to new heights, allowing you to create interactive dashboards that can be used to control external systems.

To learn more, refer to our Canvas button element documentation.

In addition to Query and Edit access, you can now grant users, teams, or basic roles Admin access to data sources. Users with Admin access to a data source can grant and revoke permissions to the data source, as well as to manage query caching settings for the data source. Users are automatically granted Admin access to data sources that they create.

We’ve added initial support to detect situations in which various transformations won’t work appropriately based on current data. Previously, selecting the appropriate transformation and configuring it correctly required a process of trial and error or already knowing how a given transformation worked. Now, transformations that we’ve detected can’t be used are shaded in the interface to indicate this, along with a helpful message explaining why.

The TraceQL query editor has been improved to facilitate the grouping of multiple spans per trace in TraceQL queries. For example, when the following by(resource.service.name) is added to your TraceQL query, it will group the spans in each trace by resource.service.name.

You can now map Google groups to Grafana organizational roles when using Google OIDC. This is useful if you want to limit the access users have to your Grafana instance.

We’ve also added support for controlling allowed groups when using Google OIDC.

Previously, the only transformation that supported dashboard variables was the Add field from calculation transformation. We’ve now extended the support for variables to the Filter by value, Create heatmap, Histogram, Sort by, Limit, Filter by name, and Join by field transformations.

We’ve also made it easier to find the correct dashboard variable by displaying available variables in the fields that support them, either in the drop-down or as a suggestion when you type $ or press Ctrl + Space:

The Grafana Assume Role authentication provider lets Grafana Cloud users of the CloudWatch data source authenticate with AWS without having to create and maintain long term AWS Users. Using the new assume role authentication method, you no longer have to rotate access and secret keys in your CloudWatch data source. Instead, Grafana Cloud users can create an identity access and management (IAM) role that has a trust relationship with Grafana’s AWS account; Grafana’s AWS account will then use AWS Secure Token Service (STS) to create temporary credentials to access the user’s AWS data.

To learn more, refer to the CloudWatch authentication documentation.

You can now use generative AI to assist you in your Grafana dashboards. So far generative AI can help you with the following tasks:

• Generate panel and dashboard titles and descriptions - You can now generate a title and description for your panel or dashboard based on the data you’ve added to it. This is useful when you want to quickly visualize your data and don’t want to spend time coming up with a title or description.
• Generate dashboard save changes summary - You can now generate a summary of the changes you’ve made to a dashboard when you save it. This is great for effortlessly tracking the history of a dashboard.

To enable these features, you must first enable the dashgpt feature toggle. Then install and configure Grafana’s LLM app plugin. For more information, refer to the Grafana LLM app plugin documentation.