Microsoft announced on August 7, 2026 that Azure Managed Grafana now supports Grafana 13.

The release brings a wider dashboard-authoring update, including Dynamic Dashboards, Saved Queries, improved filtering and grouping, dashboard templates, and usability changes for building and discovering observability content.

For platform teams, the headline capability is Git Sync. Dashboards can move into a Git-based lifecycle with version history, pull-request review, automation, and bidirectional synchronization between Grafana and a repository.

The release also includes an important Prometheus integration change. Azure authentication is moving out of the standard open-source Prometheus data source and into the Azure Monitor Managed Service for Prometheus plugin.

What Changed?

Grafana 13 is available when teams create a new Azure Managed Grafana workspace and select version 13.

Microsoft highlights improvements across dashboard creation and reuse:

• Dynamic Dashboards

• Saved Queries

• Enhanced filtering and grouping

• Dashboard templates

• Streamlined dashboard authoring and discovery

• Git-based dashboard lifecycle management

The combined effect is larger than a visual refresh. Azure Managed Grafana is moving dashboard operations closer to the engineering practices teams already use for application code and infrastructure.

That matters when an organization has hundreds of dashboards across production, staging, regions, subscriptions, and platform domains. Copying dashboards through the UI does not scale cleanly. A source-controlled lifecycle makes ownership and change history explicit.

Git Sync Brings Dashboards into the Delivery Pipeline

Git Sync stores dashboards as JSON files in a Git repository.

Teams can track changes, review updates through pull requests, and connect dashboard deployment to existing CI/CD workflows. Microsoft says synchronization is bidirectional: a change made in Grafana can be committed back to the repository, while a change committed to the repository can synchronize into Grafana.

Configuration is managed in the Grafana UI. Authentication supports either a GitHub App or a personal access token.

This creates a practical dashboards-as-code workflow:

• An engineer proposes a dashboard change in a branch.

• Automated checks validate the JSON and organizational rules.

• A reviewer checks the query, variables, data source references, and operational impact.

• The pull request preserves the reason for the change.

• The approved dashboard synchronizes into Grafana.

• A rollback can restore a known revision if the change creates a problem.

The value is not Git for its own sake. The value is a repeatable control plane for observability content.

Define the Source of Truth Before Enabling Bidirectional Sync

Bidirectional synchronization is convenient, but it also creates an ownership decision.

If engineers can edit both the Grafana UI and the repository, teams need a clear rule for conflicts, review, and promotion. Otherwise, a quick UI fix can be overwritten by the next Git synchronization, or an unreviewed dashboard change can flow back into the repository.

Decide whether the repository is authoritative, whether UI edits are permitted in production, and how emergency changes are reconciled.

A mature workflow should define:

• Repository and folder ownership

• Branch protection and required reviewers

• Whether production permits direct UI edits

• How synchronization conflicts are resolved

• How environment-specific data source identifiers are handled

• Which checks run before a dashboard is promoted

• How secrets and tokens are stored and rotated

• How rollback is tested

Use a GitHub App where practical because it can provide narrower, auditable permissions than a broadly scoped personal access token. If a token is used, give it the smallest required scope, store it securely, assign an owner, and set a rotation date.

Prometheus Authentication Is the Operational Change to Watch

Grafana 13 changes how Azure-authenticated Prometheus connections are handled.

Azure authentication is no longer supported in the standard open-source Prometheus data source. It is available through the Azure Monitor Managed Service for Prometheus plugin instead.

Microsoft says existing dashboards do not need to be recreated. Visualizations, dashboard definitions, imports, and exports remain compatible. Prometheus data sources using non-Azure authentication methods are unaffected.

The change is in the connection and query path. Azure Monitor workspaces and Azure Monitor Managed Service for Prometheus endpoints should use the Azure-specific plugin that owns Azure authentication support.

That makes a data-source inventory essential before adopting Grafana 13.

For each Prometheus data source, record:

• Whether it connects to Azure Monitor managed service for Prometheus

• Which authentication method it uses

• Which managed identity or application identity is involved

• Which dashboards and alerts depend on it

• Whether provisioning is manual, API-driven, or infrastructure as code

• Who owns validation after the plugin transition

Do not treat dashboard compatibility as proof that the data source is healthy. A dashboard can import successfully and still return no data because authentication, permissions, endpoints, or plugin configuration are wrong.

Existing Dashboards Still Need Runtime Validation

Microsoft states that existing dashboards continue to work without changes to visualization definitions or JSON.

That is good news, but the safest rollout still validates the complete path.

Open representative dashboards and confirm:

• Panels return current data.

• Variables populate correctly.

• Saved queries resolve against the intended data source.

• Alerts evaluate successfully.

• Dashboard links and drilldowns still work.

• Managed identity permissions are sufficient.

• Query latency and error rates remain within the expected range.

• Imports and exports preserve the intended configuration.

Include dashboards that use recording rules, high-cardinality queries, templated variables, and cross-environment data sources. These are more likely to expose assumptions that a basic smoke test misses.

Dashboard Reuse Needs Environment Discipline

Git-managed dashboard JSON can reduce duplication, but only if the dashboard is portable.

Hard-coded workspace identifiers, subscription IDs, resource groups, cluster names, and data source UIDs make reuse difficult. Prefer variables, predictable provisioning, and documented environment mappings.

Separate reusable dashboard logic from environment-specific bindings. A common dashboard definition should be able to move from development to production without hand-editing JSON in the target workspace.

This is also a good moment to remove duplicate dashboards. If five teams maintain slightly different copies of the same AKS or application dashboard, place the common definition under shared ownership and expose controlled parameters for the differences that matter.

Governance and Security Considerations

Dashboard code can reveal more than chart layouts.

Queries may expose resource names, internal topology, tenant identifiers, namespaces, customer labels, or operational thresholds. Repository access should match the sensitivity of the monitoring environment.

Keep credentials out of dashboard JSON. Use managed identity and supported Azure authentication paths where possible. Review repository permissions, GitHub App installation scope, audit logs, and token rotation before connecting a production Grafana workspace.

Treat query changes as production changes. A poorly constrained query can increase load, slow dashboards, or raise monitoring cost even when the JSON is syntactically valid.

Add automated and human checks for:

• Disallowed secrets or identifiers

• Unbounded or expensive queries

• Missing ownership metadata

• Broken data source references

• Required alert labels and runbook links

• Naming and folder conventions

• Environment-specific values committed to shared definitions

Who Should Care?

Platform engineering teams should care because dashboards can now participate in the same Git and CI/CD controls as infrastructure and application changes.

Site reliability engineers should care because version history, review, and rollback can make observability changes safer during incident response and ongoing service improvement.

Azure Monitor and AKS teams should care because the Prometheus authentication change requires an inventory of Azure-authenticated data sources and validation of the Azure Monitor Managed Service for Prometheus plugin.

Security teams should care because GitHub Apps, personal access tokens, repository permissions, and dashboard contents all become part of the observability security boundary.

Operations leaders should care because reusable, reviewed dashboards can reduce drift across teams and environments.

Practical Cloud Engineer Takeaway

Create a non-production Azure Managed Grafana workspace on Grafana 13.

Select three representative dashboards:

• One Azure Monitor dashboard

• One Azure Monitor managed service for Prometheus dashboard

• One complex dashboard with variables, alerts, or reusable queries

Export or synchronize them into a dedicated test repository. Configure branch protection and decide whether Git or the Grafana UI is the authoritative production source.

Then run a two-way test:

• Change a dashboard in a branch and confirm the approved update reaches Grafana.

• Make an allowed UI change and confirm how it is represented in Git.

• Create a conflicting change and document the resolution behavior.

• Roll back to the previous dashboard revision.

• Rotate or replace the Git authentication credential.

For Prometheus, create or validate the Azure Monitor Managed Service for Prometheus data source, then compare panel data, query latency, variables, and alerts with the current workspace.

Do not promote the workflow until the team can explain ownership, conflict handling, authentication, rollback, and data-source validation without relying on an undocumented manual step.

Bottom Line

Grafana 13 support makes Azure Managed Grafana more useful for teams operating observability as a shared platform.

Dynamic Dashboards, Saved Queries, templates, filtering, grouping, and authoring improvements should make dashboard creation and reuse easier. Git Sync is the architectural shift: dashboards can move into reviewed, versioned, automatable delivery workflows.

The Prometheus authentication change deserves equal attention. Azure-authenticated Prometheus connections should use the Azure Monitor Managed Service for Prometheus plugin, even though existing dashboard definitions remain compatible.

The right next step is a controlled Grafana 13 workspace pilot that tests Git synchronization, conflict rules, credential security, Prometheus connectivity, alerts, and rollback before the new workflow becomes the production standard.

Sources

Microsoft announcement, published August 7, 2026: https://techcommunity.microsoft.com/blog/appsonazureblog/announcing-grafana-13-support-in-azure-managed-grafana/4545199

Azure Managed Grafana Git Sync guidance: https://learn.microsoft.com/azure/managed-grafana/how-to-create-dashboard#manage-dashboards-as-code-with-git-sync

Azure Monitor managed service for Prometheus overview: https://learn.microsoft.com/azure/azure-monitor/metrics/prometheus-metrics-overview

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