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What’s new in Grafana Cloud

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.


One-click data links in visualizations

Generally AvailableDashboards and visualizations
Release date: 2025-02-13

You can now configure data links to be accessed with a single click. We’ve added the One click switch to data links for the following visualizations:

  • Time series
  • Bar chart
  • Candlestick
  • State timeline
  • Status history
  • Trend
  • XY chart

You can only have one One click data link, so if you enable it for one, the feature is automatically disabled for others.


Grafana Cloud Integrations now available in Grafana Fleet Management

Available in public previewAlloyIntegrations
Release date: 2025-02-13

Grafana Fleet Management now includes the Grafana Cloud Integrations catalog, combining the preconfigured functionality of Integrations and the scalability of remote configuration.

Choose from a list of platform-specific integration templates to automatically build configuration pipelines in Fleet Management and then assign attributes to match those pipelines to specific collectors.


Canvas one-click data links and actions

Generally AvailableDashboards and visualizations
Release date: 2025-02-13

Last year we introduced one-click data links and actions for canvas visualizations in public preview and experimentally respectively. With the One click switch toggled on, it takes just a single click to open a data link or trigger an action. Now, both of these features are generally available for the canvas visualization.

With the promotion to general availability, the One click switch has been moved into the dialog box where you configure the data link or action, at element level. You can only have one One click data link or action, so if you enable it for one, the feature is automatically disabled for others.

There’s supposed to be a video here, but for some reason there isn’t. Either we entered the id wrong (oops!), or Vimeo is down. If it’s the latter, we’d expect they’ll be back up and running soon. In the meantime, check out our blog!


Generative AI Observability, now with GPU monitoring

Generally AvailableMachine learningIntegrations
Release date: 2025-02-06

We’re excited to unveil our latest update to the Generative AI Observability Cloud integration.

AI Observability is a Grafana Cloud integration we released late last year, designed to provide insights into gen AI application performance.

By leveraging OpenLIT, the OpenTelemetry-native, open-source SDK, it simplifies the monitoring, diagnosis, and optimization of generative AI systems. This integration automatically instruments over 50 gen AI tools, including LLMs, vector databases (vector DBs), and frameworks like LangChain and LlamaIndex, streamlining your setup process.

Our integration not only guides you through the setup but also offers pre-built dashboards that can be customized to fit your needs. These dashboards, focused on LLM & VectorDB Observability, now include an exciting new feature: OpenTelemetry-based GPU monitoring! This new capability enables you to track GPU performance through key metrics such as utilization percentage, temperature, power consumption, and more, allowing you to optimize the efficiency of your AI workloads.


Grafana Service Center

Available in public preview
Release date: 2025-01-31

Grafana Service Center is now in public preview. The Service Center provides users a single pane of glass into key operational resources, including SLOs, Incidents, and Dashboards with more resources coming soon.

Define the labels and tags that represent your services and the Service Center will generate a service resource and a service landing page. Additionally, informative attributes can be added to the service definition such as: Documentation links, Repository links, Backlog, and any other custom attribute you would like to add.


SIFT integration for Grafana SLO

Generally Available
Release date: 2025-01-31

All Grafana SLO dashboards are now natively integrated with a Grafana SIFT panel. SIFT automatically checks burning SLOs for common issues and reports back using the SIFT panel in all auto-generated SLO dashboards. You can also manually run SIFT checks from the Grafana SLO dashboard.


Introducing RBAC for Synthetic Monitoring (Private Preview)

Available in private previewSynthetic Monitoring
Release date: 2025-01-31

We’re excited to announce that Role-Based Access Control (RBAC) for Synthetic Monitoring is now available in private preview! This gives you the ability to fine-tune access and permissions within Synthetic Monitoring, offering greater control over who can access specific features.

With RBAC, you can assign different roles and permissions to users and teams, ensuring the right people have the right access. This makes managing your monitoring workflows more secure and flexible.

How it Works

Introducing RBAC for Synthetic Monitoring (Private Preview)

Integrate Grafana Cloud k6 and Grafana Pyroscope

Generally AvailableK6Profiles
Release date: 2025-01-29

One of the basic goals of performance testing is to ensure your applications perform well under various levels of traffic. However, most performance tests are conducted with minimal insight into why a system performs a certain way during testing.

This is where continuous profiling comes in. Profiling provides unparalleled visibility into how your code behaves under load, pinpointing CPU bottlenecks, memory leaks, and inefficient function calls.

Integrate Grafana Cloud k6 and Grafana Pyroscope

Datadog Flex Logs

Generally AvailableData sources
Release date: 2025-01-27

We’re excited to roll out Flex Logs, a powerful new feature for storing logs long-term while ensuring they’re available for urgent queries when needed. Ideal for critical logs like security, transaction, and network data, Flex Logs combine retention with quick access during important events.

To enable Flex Logs in your queries, just select the “flex” storage tier—simple as that!


Filter recommendations by usage for Adaptive Logs

Generally AvailableAdaptive Telemetry
Release date: 2025-01-24

Want to easily stop ingesting your low usage log lines? Adaptive Logs now makes this even easier, allowing you to filter recommendations by how often they are queried. Now, even fewer clicks to apply recommendations for logs which are never queried or rarely queried. This UI enhancement makes it easy to quickly get started with, and get value from, Adaptive Logs.


Exemptions for Adaptive Logs

Generally AvailableAdaptive Telemetry
Release date: 2025-01-22

Adaptive Logs introduces support for exempting specified logs from drop recommendations to Grafana, giving you greater control of your data.

You can tell Adaptive Logs to not drop log lines from certain streams using the Stream selector. This ensures specified logs are ingested into Grafana Cloud, and not dropped by Adaptive Logs, no matter what our usage recommendations initially suggest. Our recommendation engine also updates to include the exemptions you specify.

Exemptions for Adaptive Logs

RBAC for notification policies

Generally AvailableAlerting
Release date: 2025-01-22

Manage notification policies through Role-Based Access Control (RBAC). Choose who can create, edit, and read notification policies using fixed roles.

You can only grant different access levels to the entire notification policy tree; not to individual notification policies.


RBAC for alerting notifications

Generally AvailableAlerting
Release date: 2025-01-22

The feature flag alertingApiServer is now enabled by default.

In the UI, administrators have more granular control over which parts of notification settings users have access to.


Tune ML forecasts with instant feedback

Generally AvailableMachine learning
Release date: 2025-01-20

The Machine Learning team is delighted to announce a new dynamic UI for Metric Forecasts!

Will the prediction algorithm see the patterns you expect in your data? If you tweak some of the parameters, will you get a better result?