What's new from Grafana Labs

You can now define additional static options for query variables to be included with the options retrieved by querying the data source. This affords you more flexibility, allowing you to create options like “value not set” or “all clusters in Asia”.

Mute Timings have been renamed to Active Time Intervals to better align with their usage.

With auto-apply, you now get all of the benefits of Adaptive Metrics, in a more timely manner. Using auto-apply, recommendations are applied automatically, without a human in the loop. Maximize your cost savings and observability outcomes, and spend less time reviewing recommendations!

Enable auto-apply using the Adaptive Metrics GUI, API, or Terraform provider. Auto-apply also optionally works with segmentation; sub-divide your recommendations to manage on a per-team basis, and choose to auto-apply at a segment level.

The Drilldown Apps are going places! We’re ensuring our opinionated experiences can benefit from our best-of-breed signal exploration workflows by making them embeddable in other contexts. Our first milestone is the integration of Traces Drilldown in the Asserts KPI drawer.

Thanks to Drilldown, you can now spot which dimensions are misbehaving – easily – no more wading through endless trace lists or wrestling with queries. That means dramatically faster MTTR when you need traces to pinpoint root causes!

What’s new?

Introducing the all new user experience for per stream exports in Grafana Cloud Logs.

With per stream export, you can configure Grafana Cloud to export select log streams to your object storage bucket in AWS, Google Cloud, or Azure. By only exporting a subset of your logs, you can significantly reduce your object storage costs and minimize logs needed to sort through after being stored.

Grafana Fleet Management now supports Amazon Web Service (AWS) PrivateLink. You can securely connect your virtual private clouds (VPCs) to Fleet Management APIs without using the public internet.

With AWS PrivateLink, you can:

• Reduce your AWS egress costs.
• Improve security by keeping your data within the Amazon network.

The days of manually deleting inactive collectors from your inventory are over! Grafana Fleet Management now automatically marks collectors inactive if they haven’t polled for a remote configuration in the last 3 hours. Collectors that are inactive for 30 days are deleted from your inventory.

By default, inactive collectors are hidden from view in the Fleet Management application. You can switch the filter to Inactive to see them.

We’ve redesigned the Reporting feature to make the report creation process simpler and more intuitive!

Key updates include:

• Creating reports from dashboards while maintaining dashboard context
• One-page report creation
• Easy access to organization report settings

For better security, Google advises using Service Account Tokens with Service Account Impersonation. If a Service Account Token is ever compromised, it can’t be used to access Google Cloud APIs without the associated service account for impersonation, making it much harder for unauthorized access. This added security layer is now supported in the BigQuery data source configuration.

Previously, Grafana automatically abbreviated large currency values like $1,235,667 to $1.24M or $555,558 into $555.6K. While this works well for most visualizations, financial data often requires exact values to be displayed.

We enhanced our custom currency format to solve this. Instead of the standard currency format, you can now use currency:financial:<unit>, which displays the complete numeric value instead of scaled abbreviations.

Introducing LogicMonitor data source plugin.

The LogicMonitor Devices data source plugin enables you to query and visualize Device Instance Data, and to list Devices, Datasources, and Instances directly within Grafana. Available in public preview in Grafana Cloud and all supported versions of self-managed Grafana Enterprise.

We’re excited to announce the public preview release of new alerting capabilities for Synthetic Monitoring. These new capabilities are available to all Grafana Cloud users.

You can now create alerts for each check in your Synthetic Monitoring application. For example, you can create an alert based on the number of check failures in a specific time window, with different settings for each one of your checks.

The pipeline history feature in Fleet Management now offers you the chance to restore versions of existing configuration pipelines. From the History details page, choose a version and click Restore.

Here’s how it works:

• Restoring a pipeline version overwrites the configuration of the current pipeline.
• A restored pipeline is set to the same Active or Inactive state as the pipeline it overwrites.
• When a pipeline version is restored, its matching attributes can also be restored, or the matching attributes from the overwritten pipeline can be persisted in the restored version.

Pipelines in Grafana Fleet Management can now leverage the Alloy export block to share their components with other pipelines. With pipeline export injection, you can export components from one configuration pipeline and inject them into another using the syntax argument.pipeline_exports.value["PIPELINE_NAME"]["EXPORT_NAME"]. This powerful feature enables you to create dynamic configurations that adapt to each pipeline’s exported values, allowing for flexible and reusable pipeline configurations.

Sort and filter logs with ease in the Logs and Events tables. You can use multiple filters, including:

• Time period
• Component
• Cloud region
• Error level

Find any non-standard workloads using filters on the Workloads main page. Filtering includes:

• Argo Rollouts
• Strimzi Pod sets
• Unmanaged (or static) Pods
• CronJobs
• Bare Pods