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.
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You can change the data source you are viewing on the Cost and Efficiency views. (Release 1.2.1)
The Kafka integration is available for use in Kubernetes Monitoring. (Release 1.3.6)
Click Predict Memory usage to predict namespace memory usage on the namespace detail page. (Release 1.2.1)
Quickly switch between the Cluster, namespace, workload, and Node views on the Cluster Navigation page using tabs. (Release 1.3.0)
Collect traces when you configure Kubernetes Monitoring, and then use Tempo to create search queries. Refer to Navigate to traces for more information. (Release 1.3.0)
You can now create correlations using either the Administration page or provisioning, regardless of whether a data source was provisioned or not. In previous versions of Grafana, if a data source was provisioned, the only way to add correlations to it was also with provisioning. Now, that’s no longer the case, and you can easily create new correlations mixing both methods—using the Administration page or provisioning.
Use the Grafana Alerting - Grafana OnCall integration to effortlessly connect alerts generated by Grafana Alerting with Grafana OnCall. From there, you can route them according to defined escalation chains and schedules.
The Tempo data source now supports query-type template variables. With this update, you can create variables for which the values are a list of attribute names or attribute values seen on spans received by Tempo.
The Datadog data source supports blocking API requests based on upstream rate limits (for metric queries). With this update, you can set a rate limit percentage at which the plugin stops sending queries.
The Datadog data source now supports log aggregation. This feature helps aggregate logs/events into buckets and compute metrics and time series. For more information, refer to Datadog log aggregation.
With the current release, we enabled RBAC permission validation (rbac.permission_validation_enabled setting) by default. This means that the permissions provided in the request during custom role creation or update are validated against the list of available permissions and their scopes. If the request contains a permission that is not available or the scope of the permission is not valid, the request is rejected with an error message.