What's new from Grafana Labs
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.
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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.

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.

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.

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.
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.
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?
Grafana Cloud Traces introduces a new safeguard to help maintain stability and prevent out-of-memory crashes when fetching traces that contain large span attributes. With this change, attributes exceeding 2KB (2048 bytes) are automatically truncated before they’re stored, striking a balance between preserving valuable trace data and maintaining overall system stability.
You can now apply Adaptive Logs recommendations per-service.
This feature is useful if multiple services are producing logs with identical patterns, and you want to treat logs from those services differently. It also makes bulk applying recommendations per service, or team, easier and more useful.
The Plugin Frontend Sandbox is a security feature that isolates plugin frontend code from the main Grafana application. When enabled, plugins run in a separate JavaScript context, which provides several security benefits:
We’ve improved how Grafana manages external sessions for OAuth and SAML, enhancing compatibility with identity providers that support session management.
Grafana can now reliably manage SAML external sessions (Identity Provider sessions) by using the SessionIndex attribute in the SAML assertion and the NameID attribute in the logout request. Previously, Grafana relied on the Login attribute as the NameID and did not include the SessionIndex in the logout request, which could result in users being logged out of all their applications/IdP sessions when logging out of Grafana.
Between January 13 - 24, we’re launching eight (8) new public probes in AWS: Calgary, Hyderabad, Indonesia, Montreal, Spain, UAE, Stockholm, and Zurich.
The new probes will replace eight (8) deprecated probes running in Linode and Digital Ocean: Atlanta, Amsterdam, Bangalore, Dallas, Newark, New York, Toronto, and San Francisco.
Migrate your Grafana OSS/Enterprise instance to Grafana Cloud in just a few clicks.
The Grafana Cloud Migration Assistant launched in Grafana 11.2 with initial support for dashboards, data sources, and folders. We’re excited to announce support for plugins and Grafana alerts.
The Elasticsearch data source plugin now offers support for Elasticsearch’s Cross-cluster Search feature.
If you’re a big Elasticsearch user, you might have multiple clusters set up for geographical separation, different teams or departments, compliance, or scaling reasons. Previously, you needed to set up a separate data source in Grafana for each cluster. Now with cross-cluster search, you can query data across all these clusters from a single Grafana data source. This makes it simpler and more convenient to query all of your Elasticsearch logs. You can learn more about this feature in the Elasticsearch docs.


