---
title: "Manage dataset configurations | Grafana Cloud documentation"
description: "Learn how to manage dataset configuration"
---

# Manage dataset configurations

> Note
> 
> Before configuring datasets, ensure you understand how the knowledge graph uses environment and region labels. These labels are critical for scoping your data and enabling effective troubleshooting. Refer to [Environment and region](/docs/grafana-cloud/knowledge-graph/reference/about-environment-region/) for complete details.

If you complete the product activation and knowledge graph build, but find that the default configuration didn’t provide the desired datasets for your environment, you can edit your dataset configuration. A dataset is a logical grouping of telemetry and can consist of:

- Kubernetes metrics
- OpenTelemetry metrics, including `span` or `servicegraph` metrics
- Metrics ingested from AWS, Azure, or GCP that come from Cloud Provider Observability
- Prometheus metrics, including `rpc` or `http` metrics

During this process, you choose an environment label and, if applicable, a cloud region label. These labels are used to scope your exploration and troubleshooting. For example, you can quickly filter to include only `region: us-central-0` and `env: prod` when troubleshooting a region-specific issue.

- **Environment label**: The environment label corresponds to one or more environments that contain metrics data stored in Grafana Cloud. The environment label populates the list of environments you can select on each knowledge graph page.
  
  If you are using Kubernetes or Prometheus, the environment label is most likely `cluster`.
  
  However, with application metrics, the label can be:
  
  - `k8s_cluster_name` if you run your applications in Kubernetes
  - `deployment_environment_name`
  - `deployment_environment`: You can use this label, but it has been deprecated.
  
  For cloud providers, the recommended environment labels are:
  
  - AWS: `account_Id`
  - Azure: `subscriptionName`
  - GCP: `project_id`
- **Environments**: By default, the knowledge graph selects `All` environments, but you can exclude one or more environments.
- **Cloud region label**: The cloud region label populates the list of sites you can select on each knowledge graph page.
- **Cloud regions**: An environment can contain multiple regions. The **Cloud regions** drop-down defaults to `All` and you can choose to exclude one or more regions.

If you’ve activated the knowledge graph and don’t see entities being discovered, refer to the [troubleshooting guide](/docs/grafana-cloud/knowledge-graph/get-started/troubleshooting/).

## Example metric

In the following example metric, `environment="dev"` maps to the an environment and `cluster="company-abc-infra-dev-euw2-eu-west-2-eks"` maps to a site in Asserts.

![Copy code to clipboard](/media/images/icons/icon-copy-small-2.svg) Copy

```none
http_server_duration_bucket{cluster="company-abc-infra-dev-euw2-eu-west-2-eks",environment="dev",,container="support",instance="XXX.XX.XX.XXX:8000",job="support-support-svc-metrics",le="5",namespace="support", service="support-support-svc-metrics"}
```

However, if you do not have a special `environment` label, select `cluster` as your environment label.

## Before you begin

Before you edit a dataset configuration, ensure the following:

- You are sending Kubernetes or OpenTelemetry metrics to Grafana Cloud
- You are familiar with your metrics coming into Grafana Cloud, including the source environment and clusters
- You have Grafana Cloud Admin permissions

Refer to one of the following dataset types:

- [Kubernetes](/docs/grafana-cloud/knowledge-graph/get-started/manage-datasets/kubernetes/)
- [Application Observability](/docs/grafana-cloud/knowledge-graph/get-started/manage-datasets/application/)
- [AWS](/docs/grafana-cloud/knowledge-graph/get-started/manage-datasets/aws/)
- [Azure](/docs/grafana-cloud/knowledge-graph/get-started/manage-datasets/azure/)
- [GCP](/docs/grafana-cloud/knowledge-graph/get-started/manage-datasets/gcp/)
- [Additional frameworks](/docs/grafana-cloud/knowledge-graph/get-started/manage-datasets/other-frameworks/)