What's new from Grafana Labs

With Auto-apply, customers can now get all of the benefits of Adaptive Metrics in a timely manner. When using the feature, recommendations are applied automatically on a timely basis, without a human in the loop. Maximize your cost savings and observability outcomes, and reduce time spent reviewing recommendations!

Customers can enable Auto-apply using the Adaptive Metrics GUI, API, or Terraform provider. Auto-apply optionally works with Segmentation; subdivide your recommendations to manage on a per-team basis, and choose to auto-apply at a segment level. The feature is currently in public preview.

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 only the logs they need, to their object storage in AWS, Google Cloud, or Azure. This can help save significantly on object storage cost 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.

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.

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

The memory tab and panels are accessible on any detail page beyond the container level. Now you can view memory usage in correlation with relevant data points, as shown in the screen capture of a namespace.

In this case, you can see at a glance key data such as:

With early detection patterns, Adaptive Logs now shows log patterns without waiting to see how often they are queried. This feature allows you to proactively detect and filter out wasteful logs, ensuring only the most valuable telemetry is ever shipped to Grafana Cloud.

We’ve updated the main navigation in Grafana Cloud to bring all observability tools together under a single menu called Observability. You’ll now find App Observability, Frontend Observability, Kubernetes Monitoring, Infrastructure Monitoring, Cloud Provider Observability, and more grouped in one place.

This change is part of our effort to provide:

• A simpler, more consistent experience across observability tools
• Faster access to relevant signals and workflows
• A foundation for deeper, context-aware troubleshooting powered by Grafana’s Knowledge Graph