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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Introducing multi-factor authentication (MFA) for Grafana Cloud accounts.
You can add an extra layer of security to your Grafana Cloud accounts by enabling MFA on the new MFA page under User Settings. You can configure MFA with any standard TOTP authenticator app, including Google Authenticator, 1Password, Authy, and similar apps, by scanning a QR code during setup.
You can now monitor Amazon Aurora clusters directly in the AWS RDS preconfigured dashboard in Cloud Provider Observability. The new Aurora tab gives you a cluster-level view of capacity, storage, and performance so you can spot scaling issues and database bottlenecks without piecing together metrics from individual instances.
Grafana Assistant now supports eight new data sources
Grafana Assistant can now query Snowflake, MongoDB, Oracle, Elasticsearch, Dynatrace, Honeycomb, Zabbix, and Jira directly.
This means you can ask a single question and get answers that draw from across your observability stack, your databases, and your project tracking tools, without switching between systems. An investigation that starts with an alert can pull in error rates from Dynatrace, query performance from Oracle, and recent deployments from Jira, all in one conversation.
Private Data Source Connect (PDC) adds support for three new data sources: MQTT, GitHub, and IBM Db2.
PDC creates a private, encrypted tunnel between your Grafana Cloud stack and data sources running inside private networks, VPCs, or on-premises environments. No public endpoint required.
When you open Testing & synthetics > Performance, it can be hard to know where to start: which project to use, what tests are running now, and what you are allowed to do in your role.
We’ve updated the Grafana Cloud status page to improve clarity and better align component names with our current Grafana Cloud product naming. These changes make it easier to identify affected products and services during incident updates and status communications.
The copy and paste panel styles feature we announced in April 2026 is now generally available in all editions of Grafana. Copy display options and field styling from one panel and paste them onto another panel of the same type—without duplicating panels or reconfiguring options manually.
The panel styles we introduced earlier this year are now generally available in all editions of Grafana. Apply curated colors, thresholds, and display options to time series, stat, gauge, bar gauge, and bar chart panels with a single click in the panel editor.
When debugging browser check failures like “timeout waiting for a selector”, you previously had to rely on text logs alone to understand what the browser rendered. Now, with screenshot thumbnails in the Timepoint Explorer and ad-hoc test panel, you can see exactly what the page looked like at the moment the check ran.
AI coding assistants and LLM workflows work best when they can pull in clean, structured context—but until now, getting Grafana documentation into your prompt meant scraping HTML and stripping out navigation, headers, and styling. No more.
The legacy Prometheus Alertmanager built-in UI is no longer available in Grafana Cloud. This is the old Alertmanager web interface, served per cluster at alertmanager-<cluster>.grafana.net and reached through a separate OAuth login (its URLs contain a /#/ fragment, for example /#/alerts).
Cloud Provider Observability now supports enhanced metrics, enabling you to monitor important service insights that aren’t available directly in CloudWatch. New derived metrics for such services as AWS Lambda, DynamoDB, RDS, and ElastiCache provide deeper visibility into resource capacity, usage, and limits—helping you build more informative dashboards and alerts.
Quick filters and grouping are now generally available in Grafana!
The new Filter and Group by dashboard control makes it faster and easier to explore data by combining filtering and grouping in a single, intuitive experience. With default filters, recent filter history, a unified filters overview, and panel-level drilldowns, users can investigate data faster while keeping dashboards clean and easy to navigate.
The Cost Management and Billing app now supports Cost Attribution for Performance Testing!
You can break down Virtual User Hour (VUH) consumption using labels assigned to your k6 projects. This makes it easier to understand and allocate performance testing costs across teams, departments, environments, services, or any other dimension that matters to your organization.
Get started with troubleshooting and problem solving on the Kubernetes Monitoring home page’s **Overview tab**.
