Releasesby IbisAlert Advisor
UpdateyesterdayUnverifiedAdded Oct 15, 2026
You can now improve your alert rule quality with the Alert Advisor. Alert rules are easier to act on when they carry the right context, like a runbook URL to guide investigation or a team label to route notifications. With the Alert Advisor in Grafana, you can: Define which labels and annotations are required for Grafana-managed alert rules.
Topics: Governance, Developer tools
More Grafana Cloud releases
Every Grafana Cloud releaseDiscover and organize your services in Service Center
Service Center in Grafana Cloud brings a service’s SLOs, alerts, incidents, on-call activity, dashboards, and synthetic checks into one view. You now have more ways to get your services into Service Center and keep them organized.
Define variables once, use them across dashboards
When multiple dashboards use the same variable, creating and maintaining it separately in each dashboard can lead to duplicated work and inconsistent configuration. Cross-dashboard variables let you define a variable once and reuse it across multiple dashboards in your Grafana organization.
Send Grafana IRM alerts to the device you choose
When you use the Grafana mobile app on more than one device, you might want alerts on the phone you carry while your other devices stay quiet. For each mobile push notification step, you can now choose which paired device receives alerts, or keep sending them to all your active devices.
Adaptive Metrics auto-apply is generally available in Grafana Cloud
Auto-apply is now generally available! By enabling auto-apply, Grafana Cloud Adaptive Metrics automatically applies recommendations for segments, so you don’t have to review the list after every analysis. To get started, enable auto-apply for the Default segment if you haven’t created any segments yet.
Choose connection KPIs to control metrics cost
Connection KPIs let you reduce the metrics cost of inbound and outbound service connections without turning the service graph off. You choose how much performance data Grafana Cloud Traces generates for each client-server pair. Latency histograms add many more series than request and error counts. Generate all KPIs keeps requests, errors, and latency.
Session Replay is now available for everyone
Session Replay in Frontend Observability is open to everyone. You no longer need the waitlist form from the August 2026 public preview announcement . You can turn Session Replay on directly from the Frontend Observability app setup flow.
Fill in incident custom fields without leaving Slack
Incident custom fields in Grafana IRM work in the Grafana Cloud app for Slack. Responders can record the details your team tracks without switching to the browser. Declare an incident The Declare incident dialog box includes your organization’s mandatory custom fields. Fill them in when you declare the incident, or leave them for later.
Filter and sort alert groups by date in Grafana IRM
You can now filter and sort alert groups in Grafana IRM by when they were created, last received an alert, acknowledged, or resolved. Want to review what your team resolved last week? Select Resolved At from the drop-down next to the time range picker, then select Last week . To narrow your results, combine date filters with Add filter .
Also shipped on Oct 14, 2026
Grafana Labs in October 2026Workspace-level package repositories for Databricks Apps are generally available
Workspace admins can now configure default Python and npm package repositories for Databricks Apps. Apps inherit the workspace configuration while still allowing app-level overrides. See Configure default package repositories .
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA)
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA). This integration lets you use the metastore as a serverless, central metadata layer, enabling seamless data sharing and unified querying across Apache Spark, Apache Hive, and BigQuery.
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA)
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA). You can perform a one-time backfill migration or dry run to migrate metadata from a Dataproc Metastore service to an Apache Iceberg REST catalog endpoint or a Hive catalog endpoint using the Google Cloud console, the gcloud CLI, or the REST API.
Conversational analytics now lets you create a conversation with all of the data sources in multiple...
Conversational analytics now lets you create a conversation with all of the data sources in multiple projects, or create a conversation with a dataset . These features are generally available (GA).
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise . This feature is now generally available (GA).
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the...
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the function output as a comma-separated list of fields. This feature is generally available (GA).