AWS Timestream Datasource

The Timestream datasource plugin provides a support for Amazon Timestream. Add it as a data source, then you are ready to build dashboards using timestream query results

Getting started

  1. Install the plugin
  2. Add a new data source with the UI or provision one
  3. Configure the data source
  4. Start making queries

Configuring the data source

Authentication

Depending on the environment in which it is run, Grafana supports different authentication providers such as keys, a credentials file, or using the “Default” provider from AWS which supports using service-based IAM roles. These providers can be manually enabled/disabled with the allowed_auth_providers field in Grafana’s config file. To read more about supported authentication providers refer to the AWS authentication section

IAM policies

Grafana needs permissions granted via IAM to be able to read data from the Timestream API. You can attach these permissions to the IAM role or IAM user configured in the previous step.

Here is a policy example:

JSON
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": ["timestream:*"],
      "Resource": "*"
    }
  ]
}

Configure the data source with provisioning

You can configure data sources using config files with Grafana’s provisioning system. You can read more about how it works and all the settings you can set for data sources on the provisioning docs page.

Here are some provisioning examples for this data source.

Using AWS SDK (default)

YAML
apiVersion: 1
datasources:
  - name: Timestream
    type: grafana-timestream-datasource
    jsonData:
      authType: default
      defaultRegion: eu-west-2

Using credentials’ profile name (non-default)

YAML
apiVersion: 1

datasources:
  - name: Timestream
    type: grafana-timestream-datasource
    jsonData:
      authType: credentials
      defaultRegion: us-east-1

Using accessKey and secretKey

YAML
apiVersion: 1

datasources:
  - name: Timestream
    type: grafana-timestream-datasource
    jsonData:
      authType: keys
      defaultRegion: us-east-1
    secureJsonData:
      accessKey: '<your access key>'
      secretKey: '<your secret key>'

Using AWS SDK Default and ARN of IAM Role to Assume

YAML
apiVersion: 1
datasources:
  - name: Timestream
    type: grafana-timestream-datasource
    jsonData:
      authType: default
      assumeRoleArn: arn:aws:iam::123456789012:root
      defaultRegion: eu-west-2

Querying the data source

The query editor accepts timestream syntax in addition to the macros listed above and any dashboard template variables.

Type ctrl+space to open open the IntelliSense suggestions

Macros

To simplify syntax and to allow for dynamic parts, like date range filters, the query can contain macros.

Macro exampleDescription
$__databaseWill specify the selected database. This may use the default from the datasource config, or the explicit value from the query editor.
$__tableWill specify the selected database. This may use the default from the datasource config, or the explicit value from the query editor.
$__measureWill specify the selected measure. This may use the default from the datasource config, or the explicit value from the query editor.
$__timeFilterWill be replaced by an expression that limits the time to the dashboard range.
$__timeFromWill be replaced by the number in milliseconds at the start of the dashboard range.
$__timeToWill be replaced by the number in milliseconds at the end of the dashboard range.
$__interval_msWill be replaced by a number in time format that represents the amount of time a single pixel in the graph should cover.
$__interval_raw_msWill be replaced by the number in milliseconds that represents the amount of time a single pixel in the graph should cover.

Using Variables in Queries

Instead of hard-coding server, application and sensor names in your Timestream queries, you can use variables. The variables are listed as dropdown select boxes at the top of the dashboard. These dropdowns make it easy to change the display of data in your dashboard.

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

Disabling quoting for multi-value variables

Grafana automatically creates a quoted, comma-separated string for multi-value variables. For example: if server01 and server02 are selected then it will be formatted as: 'server01', 'server02'. To disable quoting, use the csv formatting option for variables:

${servers:csv}

Read more about variable formatting options in the Variables documentation.

Alerting

Alerting queries should contain a time series field. Queries without this field will return an error: “input data must be a wide series but got type long”. To return time series, you can use the CREATE_TIME_SERIES function. For example:

SQL
SELECT
    silo, microservice_name, instance_name,
    CREATE_TIME_SERIES(time, measure_value::double) AS gc_pause
FROM $__database.$__table
WHERE $__timeFilter
    AND measure_name = '$__measure'
    AND region = 'ap-northeast-1'
    AND cell = 'ap-northeast-1-cell-5'
    AND silo = 'ap-northeast-1-cell-5-silo-2'
    AND availability_zone = 'ap-northeast-1-3'
    AND microservice_name = 'zeus'
GROUP BY region,
    cell,
    silo,
    availability_zone,
    microservice_name,
    instance_name,
    process_name,
    jdk_version
ORDER BY AVG(measure_value::double) DESC
LIMIT 3

Note: Results for Timestream queries are returned in different pages (if necessary) by default. To ensure that all pages are processed before evaluating an alert, mark the “Wait for all queries” checkbox underneath the “Render” query editor section for all alert queries.

Sample Dashboard

This plugin contains one sample dashboard. Please consult the Sample Application section in the official Timestream doc to set it up.

Plugin repository

You can request new features, report issues, or contribute code directly through the Timestream plugin Github repository