Releasesby GlyphEnd-to-End Root cause: Jump from a Synthetic Monitoring check straight to its trace
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.
Also shipped Apr 22, 2026Grafana Labs in April 2026 →
- Duckling Overview UI: The Duckling Overview page in Settings provides a view of activity across every...
- Duckling Overview UI: The Duckling Overview page in Settings provides a view of activity across every Duckling in the organization over the last 24 hours, including key metrics like status, disk spills, active minutes, and query-level drilldowns.
Introducing Replit Auto-Protect
Replit Auto-Protect automatically monitors project dependencies for critical CVEs. When a vulnerability is found, the Replit Agent prepares a patch that users can apply and republish with two clicks.
Introducing Workspaces
OpenRouter now supports Workspaces, allowing users to organize projects into separate environments. Each workspace features independent API keys, routing defaults, guardrails, and observability settings.
Make preview on the mobile app
Make is now available in the Figma mobile app, bringing mobile testing and review to your device.
Deploy CLI Dry Run is now GA
We're excited to announce that Dry Run on Auth0 Deploy CLI is now Generally Available , giving developers full visibility into tenant changes before they're applied. __Key Benefits:__ Preview changes before they hit your tenant. Run a0deploy import --dry-run to see exactly what resources will be created, updated, or deleted , then exit safely.
Dataflow job builder now supports external Iceberg REST Catalogs as a source
Dataflow job builder now supports external Iceberg REST Catalogs as a source. You can now ingest data from external Apache Iceberg REST catalogs (IRC) directly into Lakehouse tables using Dataflow's job builder UI without writing code. For more information, see Import data from external Iceberg catalogs to Lakehouse using Dataflow .
More from Grafana CloudEvery Grafana Cloud release →
Anomaly Alerts (Usage Spike Detection)
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!
Build custom Alloy pipelines without writing Alloy syntax
We’ve added a Grafana Alloy component editor to Grafana Fleet Management! Now you can build and update Alloy configuration pipelines without writing a single line of Alloy syntax .
Editable working hours for Grafana IRM
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.
FOCUS: Standardized Cost and Usage Data
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! FOCUS (FinOps Open Cost and Usage Specification) is an open industry standard for cloud cost and usage data.
Error Fingerprinting in Frontend Observability
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.
Simplify organization and access with Team folders
Keep your team’s content all in one place, making it easier to find, organize, and manage access. Team folders help you associate folders with teams so admins and team members can find the right dashboards, library panels, and alert rules faster.
Grafana Assistant becomes available on-prem
Today, we announce that access to Assistant now extends to Grafana Enterprise and Grafana OSS users. This makes Grafana Assistant available in your self-managed environment to help you analyze telemetry data and code in real time, build dashboards, ask questions, and more.
Sample every service fairly with Adaptive Traces volumetric sampling
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 sampling_percentage while keeping coverage intact. Learn more in the docs →