358 releases · 6 this month
Adaptive Metrics now features a redesigned interface that separates optimization recommendations from rule configurations. This update simplifies metric management and impact analysis.
Fleet Management now automatically deploys self-monitoring pipelines to connected Grafana Alloy or OpenTelemetry collectors.
Grafana Cloud released a public preview of the Audit Log in Adaptive Metrics, allowing users to track up to 30 days of metric rule changes across Auto-Apply, manual edits, and recommendations.
Experiment with your dashboards and recover from mistakes more easily with undo and redo, now in public preview. Use the Undo and Redo icons in the dashboard toolbar to revert or reinstate changes as you edit. Grafana keeps up to 100 changes in your current edit session, even after you save the dashboard.
We’ve redesigned the Grafana Cloud homepage around what you need when you log in. It brings your recent work, firing alerts and incidents, your on-call shifts, and the state of your observability stack onto one page. The homepage adapts to your stack. On a new stack, it guides you through setting up your first solutions.
Grafana Cloud added a Real User Context tab to Browser Checks, allowing users to compare failing check runs with real user session data.
The revamped query editor is now generally available and is the default experience when you edit a panel. It brings your whole data pipeline into a single view (queries, expressions, transformations, and the alert rules that depend on them), so complex and multi-source panels are faster to build, review, and troubleshoot.
Grafana Synthetic Monitoring can now suggest new checks for public HTTP endpoints based on existing telemetry data.
Grafana Alloy v1.21 is available, featuring the OpenTelemetry Engine in public preview and an upgrade to OpenTelemetry Collector v0.162. The release includes new database observability features and several breaking changes.
Grafana-managed alert and recording rules are now manageable as first-class Kubernetes-style resources. Each rule has a stable name and versioned schema, allowing for granular CRUD operations.
Private Data Source Connect (PDC) over Tailscale is now available in public preview . Securely query private data sources on your Tailscale network from Grafana Cloud, without needing to deploy and manage a PDC agent or expose endpoints to the public internet. To learn more, refer to the Private data source connect over Tailscale documentation .
Grafana Workflows is now in public preview for all Grafana Cloud stacks. Workflows is an automation engine built into Grafana Cloud. You define a series of steps that run when something happens, on a schedule, or on demand. Use it to automate the repetitive parts of incident response and operations, so your team can focus on fixing the problem.
Your data shouldn’t have to fit in a panel. With Grafana Pages, now in public preview in Grafana Cloud, you describe what you want to see and Pages build it: a custom visualization, an app, a slide deck, or even a game.
Grafana IRM brings Grafana Assistant into the places where you respond to alerts and incidents. Start an investigation and review what it found without switching tools. Investigate an alert from Slack Click Investigate this alert on an IRM alert group message in Slack.
Session Replay in Frontend Observability is open to everyone. You no longer need the waitlist form from the August 2026 public preview announcement . You can turn Session Replay on directly from the Frontend Observability app setup flow.
Incident custom fields in Grafana IRM work in the Grafana Cloud app for Slack. Responders can record the details your team tracks without switching to the browser. Declare an incident The Declare incident dialog box includes your organization’s mandatory custom fields. Fill them in when you declare the incident, or leave them for later.
Escalation chains in Grafana IRM have new options that give you more control over who gets paged, and when. Spread pages across everyone on a shift, or pull in the responder coming off the last shift. When an alert group is waiting, move it to its next step without waiting out the timer.
Different readers need different things from a report. An executive may want clean pages that put the panels first, while a client expects your branding and page numbers throughout. Custom PDF headers and footers let you shape your reports around the people who read them.
Grafana Cloud Synthetic Monitoring now integrates with the knowledge graph, available in public preview. When a check fails or slows down, you can see the service it monitors, explore its dependencies, and compare check results with service health to narrow down where to investigate. Synthetic checks show how your application behaves from the outside.
Dashboard plans, now in public preview, let you review and refine a proposed dashboard before Grafana Assistant builds it. Describe what you want to monitor, and the Assistant presents a plan in chat that includes the dashboard title, tabs or rows, panels, visualization types, and variables.
If you have the required permissions to manage roles or role assignments, you can revoke access without holding the permissions being removed. This applies when you update or delete a role, or remove role assignments through the /api/access-control/ APIs.
The entity catalog , and the Application page, which shows that same catalog scoped to services , now has a Pipeline issues tab, next to Instrumentation quality , that lists detected telemetry-pipeline problems for your whole stack in one place.
Text visualizations are useful for adding context to dashboards, but the core visualization has traditionally been limited to static Markdown, HTML, and dashboard variables. If you wanted to create a table from query results, display a status summary, or change text based on a value, you often had to use custom code or another visualization type.
Estimate how many distinct values appear in your logs when an exact count would create too many series. count by ( ) returns one series for every distinct value. For a field such as a user ID, IP address, or session token, that series count can hit Loki’s maximum series limit or time out the query.
When you activate an observability solution on an existing Grafana Cloud stack, the Grafana Cloud Knowledge Graph automatically maps that solution’s entities and insights. Services, hosts, Kubernetes resources, and their relationships appear in the knowledge graph without any additional configuration.
Panel time settings and time comparison are now generally available. The Panel time settings drawer brings a panel’s time options together in one place. Open the panel menu and select Time settings to override the dashboard time range for a single panel, shift that panel’s window, or compare its data against an earlier period, all without entering dashboard...
Moving alert rules from Mimir and Prometheus to Grafana previously meant manually rebuilding their notification setup in Grafana. Now you can import your existing Prometheus or Mimir Alertmanager configuration alongside your alert rules, bringing routing and notification settings with you instead of recreating them from scratch.
Make log ingest cost effective with fleet-managed Adaptive Logs! Now available in public preview, Adaptive Logs applies your drop rules and exemptions on collectors you already run, so matching logs are filtered before they leave your environment. Pattern drop rates still run in Grafana Cloud.
We’re excited to announce the general availability of secrets management in Grafana Cloud, along with a new AWS Secrets Manager integration. Secrets management gives you one safe place to store the API keys, tokens, and passwords that your Synthetic Monitoring checks and Grafana Cloud k6 tests need, so credentials never end up in your scripts.
From a service in the entity catalog, open the SLO tab. If the service has no SLOs yet, Grafana suggests availability and latency targets from recent request, error and latency metrics. You can edit the name, target and window, choose a folder, optionally add burn-rate alerts and create the SLO. You can also create one manually.
New Grafana Cloud organizations get Grafana Application Observability powered by the Grafana Cloud Knowledge Graph automatically. Host, Kubernetes, and Database Observability activate alongside it, so you get correlated, full-stack context on your services, infrastructure, and dependencies from the moment you start sending telemetry.
We’ve recently extended support for cross-filtering, bringing support to: Histogram State timeline Status History This is in addition to the previously supported visualizations, bar chart, table, and time series. For more information about panel filtering, refer to the documentation .
When a database slows down, you can now ask Grafana Assistant a question like “Why is my orders database slow?” or “What are my worst-performing database queries?” and get an answer straight from your Grafana Cloud Database Observability telemetry with no PromQL or LogQL required.
Alert enrichment is generally available in Grafana Cloud. It adds context to your alert notifications before they reach you. You can start diagnosing an issue, plan a fix, and judge severity without first opening Grafana or another tool. Each enrichment runs when an alert fires and attaches its results to the notification.
Building a realistic performance test usually means writing selectors by hand, hunting down session tokens that break your script on playback, and tuning configuration before you can run anything. The latest Grafana k6 Studio release takes that work off your plate, with browser test authoring and autocorrelation now generally available.
The Azure Monitor data source now supports the Azure Monitor Metrics Batch API . Instead of sending one request per resource, Grafana groups eligible metric queries and sends them together. This means fewer calls to Azure, faster queries, and less chance of throttling on dashboards that query many resources.
See how Adaptive Telemetry is reducing your Grafana Cloud costs directly in the Cost Management and Billing App! You can now view estimated cost savings from Adaptive Telemetry alongside your organization’s cost and usage data.
Scripted dashboards will be removed in Grafana 14. Scripted dashboards are a legacy mechanism that we deprecated years ago and are now retiring. If you use them, plan to migrate before you upgrade to Grafana 14, after which they’ll stop working entirely. Grafana now offers dynamic dashboards and robust as-code solutions for managing dashboards at scale.
Make distributed profiling cost effective with Adaptive Profiles! Now generally available, Adaptive Profiles applies a cost effective baseline sample rate to your services, increasing the sampling rate to 100% for a service when behavior change is detected. This allows Adaptive Profiles to reduce your stored volume by 85-90%.
Session Replay in Frontend Observability records what a user actually did in your app. All clicks, scrolls, and page state is played back to you alongside the errors, logs, and traces Frontend Observability already captures. Instead of guessing what led to a bug report, you can watch the session it happened in.
You can see your Grafana Cloud k6 plan limits and current stack usage in one place. That view helps you know what your subscription allows before you run a large test or add shared resources. Open Testing & synthetics > Performance > Settings , then select Stack limits under Usage .
When you edit a dashboard that uses auto layout, Grafana manages panel sizes automatically. Until now, it wasn’t always clear why dragging the lower-right corner of a panel had no effect or how to change the layout. In edit mode, Grafana now shows a layout indicator on the tab you’re working with and when you hover over a row.
Guided configuration steps in Kubernetes Monitoring let you set up a Cluster by describing your environment instead of tuning Alloy yourself. That means there’s no need for: Working out how much CPU and memory the collectors need, when they should scale, and whether they should buffer to disk Deciding which telemetry to switch on Pick Lightweight to run one...
We’re excited to announce the private preview of the Grafana Assistant desktop app, which brings the Assistant closer to your workflow than ever. With the desktop app, the Assistant can work with your local file system, your code, and your other tools alongside all your data in Grafana Cloud, so you can wrangle alerts, incidents, dashboards, data sources...
The logs self-service configuration API, which had previously been available to all Grafana Cloud Logs users, is being deprecated and will be removed. This API is being replaced by the Grafana Database Configuration app, which will only be available to paid users of Grafana Cloud.
We are reducing the number of deprecated and outdated plugins running in Grafana Cloud. You can no longer install plugins that have been deprecated for more than 6 months. Existing installations are not affected, and the error message points to the deprecation notice in the plugin catalog, which usually names an alternative.
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.
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...
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.
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.
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. Now you can manage all your configuration as code with one Action.
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.
Remote configuration is a core feature of Grafana Fleet Management. As the number of configuration pipelines grows, browsing and managing them can become more cumbersome when navigating through paginated lists. To make this experience more seamless, the Remote configuration tab now uses infinite scrolling.
SQL expressions are now generally available. SQL expressions let you query, join, and reshape the results of your existing data source queries using familiar MySQL-like syntax.
We redesigned the query variable editor with a new editing experience that makes working with query variables easier. The new experience uses a dialog box with the values preview at the top and a tabbed editor below, so you can review results while you edit.
Grafana Fleet Management now supports OpenTelemetry Collectors , so you can monitor and remotely configure Grafana Alloy instances and upstream OpenTelemetry Collectors from a single control plane. Manage your collector fleet with real-time health monitoring, centralized configuration, and attribute matchers for targeted rollouts.
You can now select which k6 major version your script targets when you create a test in the script editor. New tests default to v1.x (default) . Select v2.x when your script uses the k6 v2.x runtime. Grafana Cloud k6 stores the version on the load test and uses it for future runs, including scheduled runs.
Troubleshoot your entity setup with Knowledge Graph mode Knowledge Graph mode is a new specialist mode in Grafana Assistant that understands how your entity graph is built, end to end, and helps you work with it: ask why it looks the way it does, fix what doesn’t look right, and add what doesn’t ship by default.
Storing a service account JSON key file to connect Grafana Cloud to Google Cloud is a persistent security liability. Keys get embedded in config files, shared across teams, or quietly forgotten , all while remaining valid for years. When one leaks, there’s no automatic expiry and no limited blast radius.
You can now star test runs in Grafana Cloud k6 to mark the results that matter and find them again quickly. Starring gives you one consistent way to flag a test run as a reference point, whether you’re tracking a release, validating a performance optimization, or keeping an important run on hand to compare against.
| Release-notes page | Site | Feed |
|---|---|---|
| Release Notes v5.0.x community.grafana.com | community.grafana.com | None |
| Release Notes v7.0.x community.grafana.com | community.grafana.com | None |
| What's new from Grafana Labs grafana.com | grafana.com | None |
| What's new in Grafana v12.3 grafana.com | grafana.com | None |
| What's new in Grafana v12.4 grafana.com | grafana.com | None |
Releasesby Glyph