PMM-13243

docs/release-notes/2.43.0.md

@@ -181,7 +181,11 @@ Need help with the upgrade process? Our team of PostgreSQL experts can guide you
 - [PMM-13159](https://perconadev.atlassian.net/browse/PMM-13159): [Dashboards] - We have removed the experimental MongoDB **Collection Details** dashboard from PMM. You can now find up-to-date collection information on the new Mongo **Cluster Summary** dashboard, which provides a more comprehensive and accurate view of MongoDB collection metrics. If you have been using the **Collection Details** dashboard, make sure to now check the new **MongoDB Cluster Summary** dashboard for similar information.
 
 - [PMM-13030](https://perconadev.atlassian.net/browse/PMM-13030): [Dashboards] - The **MongoDB Collections Overview** dashboard has been refined to ensure consistent data filtering across all charts, including **Top 5 Hottest Collections** views, aligning with user-selected database contexts for improved clarity and more accurate per-database analysis.
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+- [PMM-13243](https://perconadev.atlassian.net/browse/PMM-13243): We've added a new `cluster_role` label to the `mongodb_up` metric, which identifies the type of node: `mongos` for query routers, `mongod` for database instances and `arbiter` for arbiter nodes.
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+This label makes it easier to understand and monitor your MongoDB cluster by allowing you to filter and group metrics based on node roles. When querying the `mongodb_up` metric, the `cluster_role` label provides immediate insight into each instance's role, improving the visibility and management of your MongoDB infrastructure.
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 - [PMM-12333](https://perconadev.atlassian.net/browse/PMM-12333): [Installation] - The PMM Client tarball installation process has been improved with more user-friendly features, including clearer error messages for permission issues, a helpful usage guide, and better overall guidance, making the setup process more intuitive and less error-prone for users.
 
 - [PMM-13243](https://perconadev.atlassian.net/browse/PMM-13258) - Improved identification and monitoring of MongoDB cluster member roles, particularly for mongos instances, enabling clearer topology visualization and laying the groundwork for more precise alerting in sharded cluster environments.