Releasesby GlyphAdd static labels to Azure metrics in Cloud Provider Observability
You can now add static labels to Azure metrics credentials in Cloud Provider Observability. Static labels are custom key-value pairs that are attached to every metric collected from a credential, giving you a consistent, queryable dimension that Azure Monitor doesn’t provide on its own.
Also shipped Jun 17, 2026Grafana Labs in June 2026 →
Replit is now available in Claude
Replit is now integrated directly into Claude, allowing users to design applications in Claude and build them in Replit within a single workflow.
Kilo Code + OpenRouter: Setup, Model Routing, and Free Models
Kilo Code now supports OpenRouter, enabling users to route requests across over 300 models with provider failover.
How to Use OpenAI Codex CLI with OpenRouter
The OpenAI Codex CLI can now be configured to route requests through OpenRouter for usage tracking and provider failover.
Australia Endpoint Now Generally Available
The Deepgram Australia endpoint ( api.au.deepgram.com ) is now generally available for customers requiring data processing within Australia.
Artifacts - Manage Artifacts from the Cloudflare dashboard
You can now configure Artifacts namespaces, repos, and tokens directly from the Cloudflare dashboard. Artifacts is Git-compatible storage that lets you store repos on Cloudflare and interact with them using standard Git workflows.
AI credit usage API for Enterprise customers
Enterprise customers can now access AI credit usage data programmatically via the new AI usage credit API.
More from Grafana CloudEvery Grafana Cloud release →
Historical Cardinality
Analyze metrics cardinality history directly in the Cost Management and Billing App We’re excited to announce the general availability of Historical Cardinality! When active series counts increase, it can be difficult to determine what changed and which metrics or labels are responsible.
Query dropped traces in Adaptive Traces
Find the trace you need, even when it was dropped. Adaptive Traces now keeps every dropped trace queryable by trace ID for 24 hours after ingest, so a trace ID from a log line, exemplar, or an upstream system always returns a result. These traces don’t appear in TraceQL search results, the service graph, or aggregations.
Annotations clustering now generally available
Recently, we introduced several improvements to annotations to make them easier to explore, navigate, and manage at scale, including annotations clustering and indicator controls. These changes were introduced in public preview and now they are generally available. For more information about these changes, refer to the original announcement .
Revamped query editor: now in public preview with multi-select and stacked view
The revamped query editor experience is now in public preview. Since the initial private preview release , we’ve continued to refine the experience and added two new capabilities to help you work with complex panels even faster: multi-select with bulk actions and a stacked view.
pdc-app v0.14.17
PDC app v0.14.17 fixes an issue with token generation for older PDC networks created before 2024. Dependencies have also been cleaned up, with an obsolete dependency removed that is no longer needed in modern browsers. No action is required; this update will roll out automatically to Grafana Cloud stacks in phases.
Change in resource admin behavior
In Grafana Cloud, we’re rolling out a change to what resource administrators can see on a resource’s permissions list. If you can view and manage the permissions on a folder or dashboard, you will soon see every user and team that has access to it. Today, Grafana filters that list.
Organize your Synthetic Monitoring checks in folders
Grafana Cloud Synthetic Monitoring now lets you organize your checks into Grafana Folders. As you create more checks or onboard new teams, a single flat list becomes hard to scan. With folders, you can group checks by team, service, or environment so the right checks are always easy to find and act on a whole group at once instead of one check at a time.
Drop rule recommendations for Adaptive Logs
Want more control than our pattern-based recommendations, but not sure where to start? Adaptive Logs now walks you through creating a drop rule tailored to your environment in three guided steps: pick one of your highest-volume services, choose a drop rate, and review a pre-filled rule before any logs are dropped.