What’s new in Grafana Cloud

Click the Explore icon to view the query and additional tools available for you to further explore and query your data.

You can explore a query from the Metrics status tab.

Users looking to migrate to the new Grafana Alerting product can do so with confidence with the Grafana Alerting migration preview tool. The migration preview tool allows users to view, edit, and delete migrated rules prior cutting over, with the option to roll back to Legacy Alerting.

Grafana Alerting previously evaluated rules at the start of the evaluation interval. This created a sudden spike of resource utilization, impacting data sources. Rule evaluation is now spread over the entire interval for smoother performance utilization of data sources.

We’ve added the option to manage library panel permissions through role-based access control (RBAC). With this feature, you can choose who can create, edit, and read library panels. 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.

This feature simplifies your options for configuring where your notifications are sent when an alert rule fires. Choose an existing contact point directly from within the alert rule creation form without the need to label match notification policies.  You can also set optional muting, grouping, and timing settings directly in the alert rule.

Simplified routing inherits the alert rule RBAC, increasing control over notification routing while preventing accidental notification policy updates, ensuring critical notifications make it to their intended contact point destination.

A SurrealDB data source has been added to the Plugin Catalog, enabling the integration of SurrealDB, a real-time, multi-model database, with Grafana’s visualization capabilities. This datasource allows users to directly query and visualize data from SurrealDB within Grafana, using SurrealDB’s query language.

The SurrealDB data source launches with just the basics today. You can write queries in SurrealQL using the built-in query editor, although many Grafana features like macros are not supported for now.

The table visualization for logs, announced in public preview for Grafana 10.3, is generally available in Cloud (all editions) and with Grafana 10.4.

New to the table visualization with 10.4:

• the ability to sort columns
• data type autodetection of fields
• autodetection and clean formatting of json fields

Grafana can now be used to manage both Prometheus and Mimir Alertmanagers with UTF-8 configurations. For more information, please see the release notes for Alertmanager 0.27.0.

AngularJS support in Grafana was deprecated in v9 and will be turned off by default in Grafana v11. When this happens, any plugin which depended on AngularJS will not load, and dashboard panels will be unable to show data.

To help you understand where you may be impacted, Grafana now displays a warning banner in any dashboard with a dependency on an AngularJS plugin. Additionally, warning icons are present in any panel where the panel plugin or underlying data source plugin has an AngularJS dependency.

This update to the Filter data by values transformation simplifies data filtering by enabling partial string matching on field values thanks to two new matchers: Contains substring and Does not contain substring. With the substring matcher built into the Filter data by values transformation, you can efficiently filter large datasets, displaying relevant information with speed and precision. Whether you’re searching for keywords, product names, or user IDs, this feature streamlines the process, saving time and effort while ensuring accurate data output.

In the Filter data by values transformation, simply add a condition, choose a field, choose your matcher, and then input the string to match against.

The Log Volume Explorer has been promoted to General Availability! First announced at ObsCon London in Nov 2023, the Log Volume Explorer adds to our set of features that help you manage your observability spend. Identify the source of logs ingested into Grafana Cloud and answer questions like “Which of my teams, environments, Kubernetes clusters, and/or applications are generating the most logs?” Find the Log Volume Explorer under Administration > Cost Management > Logs.

Are you a k8s user? Do your requirements involve testing internal services or generating load from inside your network? Private Load Zones are a new feature of Grafana Cloud k6 that allow you to run k6 load generators from your k8s cluster and push metrics to Grafana Cloud and visualize them in the Grafana Cloud k6 app plugin.

This feature is built on top of our OSS k6-operator and lets you start tests with the k6 cloud command the same way you would do if you used Grafana Cloud’s load zones.

Save money and apply an extra layer of network security by using Azure Private Link to send metrics, logs, traces, and profiles to Grafana Cloud.

Normally when you send telemetry from Microsoft Azure to Grafana Cloud, you incur network egress fees above a certain traffic volume and your data, though encrypted, traverses the public internet. With Azure Private Link, traffic between your virtual network and Grafana Cloud travels the Microsoft backbone network, so exposing your service to the public internet is no longer necessary.

Subfolders are here at last!

Some of you want subfolders in order to keep things tidier. It’s easy for dashboard sprawl to get out of control, and setting up folders in a nested hierarchy helps with that.

If you’ve wanted to visualize your Grafana Cloud k6 test results in a dashboard you’ve been limited to displaying data as a time series. But sometimes a single number is more digestible and can help you make an assessment of your test results quicker.

Now you can aggregate your data not only over time, but as a single aggregated value. This is especially useful in combination with the Stat panel. Just change the type of your query to “Aggregate” in the new options section and data will now be aggregated for the entire time series.