Use hook useStyles2(getStyles) to memoize the styles generation and try to avoid passing props to the the getStyles function and instead compose classes using emotion cx function.
Use hook useStyles2(getStyles) to memoize the styles generation and try to avoid passing props to the getStyles function and instead compose classes using emotion cx function.
@ -159,7 +159,7 @@ To use the Grafana Assume Role:
1. Put in a request to Customer Support to enable`awsDatasourcesTempCredentials`.
2. Once the feature is enabled, create a new CloudWatch data source (or update an existing one) and select **Grafana Assume Role** as an authentication provider.
3. In the AWS Console, create a new IAM role, and under **Trusted entity type**, select **Another AWS account** as the trusted Entity.
4. Enter Grafana's account id (displayed in the instructions box on the the **Settings** tab of the CloudWatch data source configuration) and check the **Require external ID** box.
4. Enter Grafana's account id (displayed in the instructions box on the **Settings** tab of the CloudWatch data source configuration) and check the **Require external ID** box.
5. Enter the external ID specified in the instructions box on the **Settings** tab of the CloudWatch data source configuration in Grafana. This external ID will be unique to your Grafana instance.
6. Attach any required permissions you would like Grafana to be able to access on your behalf (for example, CloudWatch Logs and CloudWatch Metrics policies).
7. Give the role a name and description, and click **Create role**.
| force | boolean | No | When set to `true`, the role will be deleted with all it's assignments. |
| force | boolean | No | When set to `true`, the role will be deleted with all its assignments. |
| global | boolean | No | A flag indicating if the role is global or not. If set to false, the default org ID of the authenticated user will be used from the request. Refer to the [About RBAC]({{< relref "/docs/grafana/latest/administration/roles-and-permissions/access-control" >}}) for more information. |
@ -30,7 +30,7 @@ Legends are supported for the following visualizations:
- [Trend][trend]
<!--- xy chart -->
[Geomaps][] and [heatmaps][] also have legends, but they only provide the the choice to display or not display a legend and don't support other legend options.
[Geomaps][] and [heatmaps][] also have legends, but they only provide the choice to display or not display a legend and don't support other legend options.
@ -118,7 +118,7 @@ For additional information, refer to [Traces to metrics: Ad-hoc RED metrics in G
When you use **Aggregate by**, the selections you make determine how the information is reported in the Table. Every combination that matches selections in your data is listed in the table.
Each aggregate value, for example `intrinsic`:`name`, has a corresponding column in the results table.
For example, **names** matching `GET /:endpoint` with a **span.http.user_agent** of `k6/0.46` appeared in 31,466 spans. Instead of being listed by traces and associated spans, the query results are grouped by the the selections in **Aggregate by**.
For example, **names** matching `GET /:endpoint` with a **span.http.user_agent** of `k6/0.46` appeared in 31,466 spans. Instead of being listed by traces and associated spans, the query results are grouped by the selections in **Aggregate by**.
The RED metrics are calculated for every name and user agent combination found in your data.
- **Never:** Time series data points with gaps in the the data are never connected.
- **Always:** Time series data points with gaps in the the data are always connected.
- **Never:** Time series data points with gaps in the data are never connected.
- **Always:** Time series data points with gaps in the data are always connected.
- **Threshold:** Specify a threshold above which gaps in the data are no longer connected. This can be useful when the connected gaps in the data are of a known size and/or within a known range, and gaps outside this range should no longer be connected.
- **Never:** Time series data points in the the data are never disconnected.
- **Never:** Time series data points in the data are never disconnected.
- **Threshold:** Specify a threshold above which values in the data are disconnected. This can be useful when desired values in the data are of a known size and/or within a known range, and values outside this range should no longer be connected.
Jack Baldry
1 year ago
committed by