CloudWatch template variables

Instead of hard-coding details such as server, application, and sensor names in metric queries, you can use variables. Grafana lists these variables in dropdown select boxes at the top of the dashboard to help you change the data displayed in your dashboard. Grafana refers to such variables as template variables.

For an introduction to templating and template variables, refer to the Templating and Add and manage variables documentation.

Use query variables

You can specify these CloudWatch data source queries in the Variable edit view’s Query Type field. Use them to fill a variable’s options list with values like regions, namespaces, metric names, and dimension keys/values.

Name List returned

Regions

All AWS regions.

Namespaces

All namespaces CloudWatch supports.

Metrics

Metrics in the namespace. (Specify region or use “default” for custom metrics.)

Dimension Keys

Dimension keys in the namespace.

Dimension Values

Dimension values matching the specified region, namespace, metric, and dimension_key. Use dimension filters for more specific results.

EBS Volume IDs

Volume ids matching the specified region and instance_id.

EC2 Instance Attributes

Attributes matching the specified region, attribute_name, and filters.

Resource ARNs

ARNs matching the specified region, resource_type, and tags.

Statistics

All standard statistics.

LogGroups

All log groups matching the specified region.

For details on the available dimensions, refer to the CloudWatch Metrics and Dimensions Reference.

For details about the metrics CloudWatch provides, refer to the CloudWatch documentation.

Use variables in queries

Use Grafana’s variable syntax to include variables in queries. For details, refer to the variable syntax documentation.

Use ec2_instance_attribute

Filters

The ec2_instance_attribute query takes filters as a filter name and a comma-separated list of values. You can specify pre-defined filters of ec2:DescribeInstances.

Select attributes

A query returns only one attribute per instance. You can select any attribute that has a single value and isn’t an object or array, also known as a flat attribute:

  • AmiLaunchIndex

  • Architecture

  • ClientToken

  • EbsOptimized

  • EnaSupport

  • Hypervisor

  • IamInstanceProfile

  • ImageId

  • InstanceId

  • InstanceLifecycle

  • InstanceType

  • KernelId

  • KeyName

  • LaunchTime

  • Platform

  • PrivateDnsName

  • PrivateIpAddress

  • PublicDnsName

  • PublicIpAddress

  • RamdiskId

  • RootDeviceName

  • RootDeviceType

  • SourceDestCheck

  • SpotInstanceRequestId

  • SriovNetSupport

  • SubnetId

  • VirtualizationType

  • VpcId

You can select tags by prepending the tag name with Tags.. For example, select the tag Name by using Tags.Name.