What's new from Grafana Labs

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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What's new from Grafana Labs
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PDC Agent: Native Go SSH Support

Grafana Cloud Generally Available
Release date: 2026-05-12

The PDC agent now supports a native Go SSH mode, enabled with the -use-gossh flag. This replaces the agent’s reliance on an external OpenSSH process with a direct SSH implementation via Go’s golang.org/x/crypto/ssh library, and brings several improvements:


Get push notifications for incident changes on the Grafana IRM mobile app

Grafana Cloud Generally Available IRM
Release date: 2026-05-06

When an incident escalates, every minute matters, and you’re not always at your laptop. The Grafana IRM mobile app already keeps you on top of alerts, schedules, and shift swaps. Now it also notifies you the moment an incident you’re responding to changes.

When you have a role on an incident, you get a push notification when its severity changes (for example, Minor → Critical), its status changes (for example, Investigating → Resolved), or someone posts a status update. Tap the notification to open the incident in the IRM mobile app.


AI-powered query troubleshooting in Database Observability

Grafana Cloud Generally Available AI
Release date: 2026-05-06

Diagnose slow queries faster with the new Grafana Assistant integration for Database Observability. Instead of manually correlating metrics, wait events, and execution plans, click a button to get a diagnosis grounded in your live Prometheus and Loki data — including specific fix recommendations like index changes or query rewrites tailored to your actual schema and database engine.


What's new: RBAC behavior changes with Grafana 13

Grafana Cloud Generally Available Enterprise Generally Available Breaking change
Release date: 2026-05-05

Grafana 13 tightens RBAC enforcement for custom roles, Terraform-managed roles, and role provisioning. Most users aren’t affected. If you maintain custom RBAC roles, especially roles with data source permissions scoped to specific UIDs, or roles using legacy annotation scopes, review your role definitions now to prevent errors.


Time series to table transformation is now generally available

Grafana Cloud Generally Available Open source Enterprise Generally Available Dashboards and visualizations
Release date: 2026-04-29

The Time series to table transformation is now generally available. Convert time series query results into table rows containing a trend field, then display them as sparklines with the sparkline cell type—useful for building compact at-a-glance overviews across many series.


Normalize span names with Adaptive Traces semantic conventions

Grafana Cloud Available in public preview Adaptive Telemetry Traces Metrics
Release date: 2026-04-29

Adaptive Traces can now normalize span names to follow OpenTelemetry semantic conventions during ingestion, collapsing high-cardinality names like /api/users/7f3a into stable forms like GET /api/users/{id}. Span metrics aggregate under stable route names, dashboards show meaningful operations, and TraceQL queries match consistently across services regardless of how each team labeled its spans. The original name is preserved as grafana.original_span_name so you can still drill down to a specific request.


Sample every service fairly with Adaptive Traces volumetric sampling

Grafana Cloud Available in public preview Adaptive Telemetry
Release date: 2026-04-24

Keep every service represented in your traces, even when a few noisy ones produce most of your traffic. Volumetric sampling automatically distributes your sampling budget across services and request types, so low-volume services aren’t crowded out — and you can often lower your overall sampling rate while keeping coverage intact. Learn more in the docs →


Editable working hours for Grafana IRM

Grafana Cloud Generally Available IRM
Release date: 2026-04-23

You can now define custom working hours so teammates can see when you’re available directly from on-call schedules.

We’ve added a Working hours tab to your IRM user settings, so you can customize each day to match your actual schedule. Toggle individual days on or off, set up to three time ranges per day, and copy one day’s configuration to all other active days in one click.

Once enabled, schedule hover cards show whether you’re currently inside or outside your working hours based on your configured availability.

Screenshot of IRM settings with Working hours enabled, showing default hours set to 09:00–17:00.


FOCUS: Standardized Cost and Usage Data

Grafana Cloud Generally Available Cost management
Release date: 2026-04-23

Access and analyze Grafana Cloud cost and usage data using the open FOCUS standard

We’re excited to announce the general availability of FOCUS support in the Cost Management and Billing app!


Anomaly Alerts (Usage Spike Detection)

Grafana Cloud Generally Available Cost management Alerting
Release date: 2026-04-22

Detect unexpected spikes and drops in usage with intelligent anomaly detection

We’re excited to announce the general availability of Anomaly Alerts in the Cost Management and Billing app!


End-to-End Root cause: Jump from a Synthetic Monitoring check straight to its trace

Grafana Cloud Generally Available Synthetic Monitoring
Release date: 2026-04-22

Synthetic Monitoring checks are now linked to distributed traces they generate in Grafana Cloud Traces! When a Scripted check fails or looks slow, you can open the underlying trace with a single click from the check’s logs and see exactly which service, span, and downstream call caused the problem.

This helps to shrink the gap between a poor user experience and the underlying root cause.


Error Fingerprinting in Frontend Observability

Grafana Cloud Generally Available
Release date: 2026-04-21

A single bug can generate hundreds of unique error entries when messages contain variable data like memory addresses, line numbers, or request IDs. This fragments counts, skews prioritization, and floods on-call engineers with duplicate alerts.