What's new from Grafana Labs

As part of AI Week, we’re shipping a restructured information architecture (IA) for Grafana Cloud docs. The new navigation makes it easier to find the right docs by grouping content around how you work in Grafana Cloud, with a clear home for AI capabilities.

This change reflects how the platform has actually grown.

The new structure groups everything into four sections:

• Platform - cross-cutting capabilities that support Grafana Cloud’s product suite
• Observe and act - the task-oriented home for monitoring, alerting, incident response, testing, and data connections, where product names (Alerting, IRM, SLO) now live on landing pages instead of in the navigation.
• AI tools - infrastructure-level AI capabilities (MCP server, Dynamic alerting, gcx, the LLM plugin) that enhance workflows rather than standing alone.
• Learn and build - Grafana Learn, get started, conceptual content, dashboard-building, and developer resources.

Selecting an OpenSearch index just got easier with the new Index Picker.

Finding and setting the right index in the Grafana OpenSearch plugin no longer means typing index names from memory. The query editor now includes a Select index button that opens a searchable browser of the indices available on your data source. Each index is shown alongside its document count and cluster health, so you can pick the right one at a glance. Search by substring, use * and ? for wildcards, or wrap your input in /…/ for a full regex match to quickly narrow down large clusters.

Give your AI agents instant, zero-infrastructure access to your entire observability ecosystem, data, alerts, and incidents, using a single managed endpoint. Not to be mistaken with the OSS MCP server, which you install, host, and maintain yourself, the Cloud MCP server is fully managed by Grafana Labs, so you can supercharge agentic workflows without deploying or running anything of your own.

gcx is now generally available for Grafana Cloud and Grafana OSS/Enterprise v12 or later. It’s the CLI that gives you and your AI agent structured access to Grafana and Grafana Cloud from the terminal — dashboards, folders, alert rules, and data sources alongside Synthetic Monitoring, k6, Fleet Management, Incidents, Adaptive Telemetry, and more. As the evolution of grafanactl, it brings a previously fragmented experience into one tool and integrates directly with Grafana Assistant.

We’re excited to announce the private preview of Grafana Assistant powered by OpenAI models. Anthropic models have been the backbone of Grafana Assistant so far. Now you can try the Assistant experience powered by OpenAI instead: when enabled, all requests are routed to OpenAI models rather than Anthropic ones.

The fastest way yet to see what Grafana Assistant can do. Head to play.grafana.org and start a conversation right there in our public sandbox. No install, no account, no setup — just you and the Assistant on real Grafana data.

Workspace, the agent-native interface for Grafana Cloud, is now generally available in Grafana Cloud. Instead of hopping between tabs to pull a query here, a dashboard there, and an incident timeline somewhere else, you and the Assistant work side by side in a single, full-page view: building reports, correlating signals, and running everyday observability tasks without ever leaving the window.

Understand who is using Grafana Assistant and how AI token usage contributes to your costs directly in the Cost Management and Billing App.

We’re excited to introduce Grafana Assistant Usage Attribution, giving administrators visibility into Assistant token consumption across their organization. Available  in the Usage view of the Cost Management and Billing App, it surfaces alongside your existing Grafana Cloud usage data. You can see token usage by individual users and service accounts, distinguish between included and additional token usage, and manage Assistant usage alongside your other Grafana Cloud products from a single experience.

As you write a performance test in Grafana Cloud k6, the script editor can flag hardcoded API keys, tokens, and passwords before you run the test. Those values are stored in plaintext in the script, so leaving them there puts credentials at risk when you share the file or check it into version control.

Cost-effectively get the right representative mix of traces with volumetric policies!

Now Generally Available, volumetric policies intelligently balance cost, service representation, and value to automagically give you the right traces. We’ve bolstered volumetric policies under the hood to be even more cost predictable.

Synthetic Monitoring usage is now included in Grafana Cloud Cost Attribution, as part of the Cost Management and Billing App. You can attribute the cost of your checks to whatever dimensions matter to your organization: teams, cost centers, business units, services, or even your own customers. Every check execution can be tied to a cost attribution label, so teams running chargeback or showback can see exactly who is driving usage, spot outliers, and allocate costs with confidence.

Grafana’s AI Observability (alias: Sigil) is being renamed to Grafana Agent Observability. As the product has grown to cover full agent lifecycles — from tool use to evaluations to guardrails — the name is catching up to what it already does.

Keep your firewall automation synchronized with Grafana Cloud through one versioned Allowlist API. A consistent JSON format across services and regions makes allowlists easier to retrieve, parse, and validate.

Following our announcement that OpAMP support is generally available in Fleet Management, we’ve updated our GitHub Action to support OpenTelemetry pipelines along with Alloy ones.

Traces can contain sensitive data, which often forces organizations to limit access or separate teams into different tracing tenants. Tempo LBAC lets administrators control which traces each Grafana team can access using resource attributes such as service, environment and region.