What’s new in Grafana Cloud

We are excited to announce the public preview release of the Grafana Aurora Data Source. You can create alerts, query and visualize your data from AWS Aurora with Grafana. This data source supports MySQL-compatible and PostgreSQL-compatible Aurora DB engines. You can find out more about the data source in the Aurora data source documentation.

Explore now supports forward direction search for Loki logs searches. This allows users to seamlessly browse logs in a time range in forward chronological order (for example, tracing a specific user’s actions using logs). To use this feature, select Forward for the Direction option. Note that in the screenshot above, logs are rendered beginning from the starting time period of the query, not the end.

Cloud Provider Observability provides a unified experience to manage multiple cloud environments and streamline your monitoring and troubleshooting. In addition to AWS, you can easily set up Azure and Google Cloud Platform to view: Logs Preconfigured service dashboards like the following one showing data for Azure Elastic Pool For more details, refer to: Azure Metrics Azure Event Hubs for logs GCP Metrics GCP Logs

New Azure On-behalf-of Authentication for the Grafana Databricks Datasource. Databricks recommends that you use Microsoft Entra ID managed service principals in cases where you must authenticate with Azure Databricks and other Azure resources at the same time, and now this feature is available on v1.7.2 of the Databricks datasource. Learn more about this feature in our documentation.

We have released the two most requested features for Grafana Cloud k6 Private Load Zones: support for custom images and cloud environment variables. With custom images, you can run tests using a custom k6 binary. For example, if you have a k6 build with extensions, you can test protocols that are not supported by default in k6. You can configure a custom image in the PrivateLoadZone spec, by using the spec.

We are excited to announce the release of a new data source for Grafana: Yugabyte. This addition extends Grafana’s capabilities, enabling seamless integration with YugabyteDB. You can find out more about the data source in the Yugabyte data source documentation. The datasource has some known limitations: ad-hoc filters and TLS/network customization are not yet supported. Improvements and additional supported features are planned for future updates.

We are excited to announce the release of a new Zendesk data source for Grafana. This addition extends Grafana’s capabilities, enabling seamless integration with Zendesk. You can find out more about the data source in the Zendesk data source documentation.

We’re excited to announce the release of the Grafana Netlify Datasource plugin, designed to seamlessly monitor your Netlify build data and deployments directly into Grafana. You can also visualize form responses and setup alerts on SSL certificates expirations. Find out more about in the Netlify data source documentation.

Introducing Atlassian Statuspage data source plugin. The Atlassian Statuspage data source plugin allows querying Summary, Status, Components, Unresolved incidents, All incidents, Upcoming scheduled maintenances, Active scheduled maintenances, All scheduled maintenances

The state timeline visualization now supports pagination. The Page size option lets you paginate the state timeline visualization to limit how many series are visible at once. This is useful when you have many series. Previously, all the series in a state timeline were made to fit within the single window of the panel, which could make it hard to read. With paginated results, the visualization displays a subset of all series on each page.

We’ve made a number of exciting updates to transformations! You can now use variables in some transformations Template variables are now supported for the Limit, Sort by, Filter data by values, Grouping to matrix (a community contribution ⭐️), Heatmap, and Histogram transformations. This enables dynamic transformation configurations based on panel data and dashboard variables. New transpose transformation We’re excited to announce the new Transpose transformation, which allows you to pivot the data frame, converting rows into columns and columns into rows.

The Drone data source plugin allows you to retrieve data for repositories and builds from your Drone instance.

View energy data for your Kubernetes infrastructure components through Kubernetes Monitoring.

Native histograms are a data type in Prometheus that can produce, store, and query high-resolution histograms of observations. It usually offers higher resolution and more straightforward instrumentation than classic histograms. If you would like more information, you can take a look at the video presented at the conference. Key user benefits of using Native Histograms: Improved resolution for the left tail of distributions: The exponentially growing buckets are able to better represent the smallest sample values in the distribution.

We are excited to announce support for cross-account querying in Metric Insights query builder for AWS Cloudwatch Plugin. This enables building SQL queries to monitor across multiple accounts in the same region in AWS Cloudwatch. This feature introduces an account dropdown for selecting one or all of your source accounts and builds a query that targets them. Furthermore, results can be grouped by account ID by selecting “Account ID” in the Group By dropdown.