# Metrics

Kloudfuse Platform supports high cardinality [metrics](https://docs.kloudfuse.com/platform/3.5.0/glossary/#metrics) from hundreds of sources, including infrastructure (node cpu, memory, disk, and so on), Kubernetes, services like Kafka, Redis, MongoDB, Postgres, MySQL, diverse web-native applications, and many more. With particular reference to application metrics, our solution is very cost-effective compared with initial outlay of time and resources to build custom data ingestion on many other observability platforms.

Watch our video overview on Kloudfuse Metrics.

[Kloudfuse Metrics Stream](https://www.youtube.com/watch?v=Gy7Krzc-mF4)  Pankaj Thakkar 18 subscribers

Kloudfuse has a native integration with popular cloud platforms AWS, GCP, and Azure. It ingests high cardinality metrics from applications at low cost. See [Metric source integration](https://docs.kloudfuse.com/platform/3.5.0/metrics-source-integration/).

The Kloudfuse platform has a built-in Grafana server that enables you to explore metrics through the PromQL interface; alternatively, you can configure it as a data source in an existing external Grafana installation. See [Grafana Metrics](https://docs.kloudfuse.com/platform/3.5.0/metrics-grafana/).

We built Kloudfuse has a native UI for exploring your metrics. We designed it for users who prefer a simpler interface that enables you to explore the metrics and provides many functions to model modern DevOps patterns.

To access the Metrics UI, click the **Metrics** tab in the UI header. Our metrics interface offers three different patterns for exploring data:

- [Metrics Explorer](https://docs.kloudfuse.com/platform/3.5.0/metrics-explorer/)  
  Enables the user to perform _ad-hoc_ analysis of any metric by charting the time series data for a selected range of time and dimensions.

- [Metrics Summary](https://docs.kloudfuse.com/platform/3.5.0/metrics-summary/)  
  Provides a concise view of all metrics ingested by the system, along with all tags and their possible values within the selected time range.

- [Metrics Cardinality Analytics](https://docs.kloudfuse.com/platform/3.5.0/metrics-cardinality-analytics/)  
  Enables you to rapidly analyze high cardinality fields and identify specific issues and their causes, leading to effective observability.

|     |     |
| --- | --- |
|  | The main **Metrics** interface is the **Metrics Explorer** interface. |

## Kloudfuse Artificial intelligence in Metrics Explorer

Watch how to use the advanced features in Metrics Explorer.

[AI/ML Features](https://www.youtube.com/watch?v=SqaadajUb6s)  Kloudfuse 24 subscribers

## Next steps

To use the **Metrics UI** directly, see:

- [Metrics Explorer](https://docs.kloudfuse.com/platform/3.5.0/metrics-explorer/)

- [Metrics Summary](https://docs.kloudfuse.com/platform/3.5.0/metrics-summary/)

- [Metrics Cardinality Analytics](https://docs.kloudfuse.com/platform/3.5.0/metrics-cardinality-analytics/)

- [Metric Data Types](https://docs.kloudfuse.com/platform/3.5.0/metric-type/)

- [APIs for Metrics](https://docs.kloudfuse.com/platform/3.5.0/metrics-api/)

- [Best practices for managing metrics](https://docs.kloudfuse.com/platform/3.5.0/metrics-best-practices/)