> For the complete documentation index, see [llms.txt](https://upsolver.gitbook.io/content/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://upsolver.gitbook.io/content/reference-1/sql-commands/jobs/create-job/monitoring/datadog.md).

# Datadog

To export monitoring data from your Upsolver account, you must first create a connection that provides the appropriate credentials to access your Datadog account.

## Syntax

```sql
CREATE DATADOG CONNECTION <connection_identifier>
    API_KEY = '<api_key>'
    [ API_HOSTNAME = '<api_hostname>' ]
    [ COMMENT = '<comment>' ];
```

#### Jump to

* [`API_KEY`](#api_key)
* [`API_HOSTNAME`](#api_hostname)
* [`COMMENT`](#comment-editable)

## Connection Options

#### `API_KEY`

Type: `text`

The API key for your Datadog account.

#### `API_HOSTNAME`

Type: `text`

The API hostname for your Datadog account.

#### `COMMENT` — editable

Type: `text`

(Optional) A description or comment regarding this connection.

## Examples

### Create a connection

The following example creates a new connection named **my\_datadog\_connection** that will be used to send monitoring information to Datadog.

```sql
CREATE DATADOG CONNECTION my_datadog_connection
    API_KEY = 'my_api_key'
    API_HOSTNAME = 'app.datadoghq.eu'
    COMMENT = 'Datadog connection for Upsolver metrics';
```

### Create a job

The following script creates a job named **send\_monitoring\_data\_to\_datadog** that sends cluster metrics to the Datadog account **my\_datadog\_connection** created in the above example:

```sql
CREATE JOB send_monitoring_data_to_datadog 
    START_FROM = NOW 
AS INSERT INTO my_datadog_connection
    MAP_COLUMNS_BY_NAME
       SELECT utilization_percent AS utilization_percent,
              tasks_in_queue AS tasks_in_queue,
              memory_load_percent AS memory_load_percent,
              cluster_id AS tags.cluster_id,
              cluster_name AS tags.cluster_name,
              RUN_START_TIME() AS time
       FROM system.monitoring.clusters;
```

The job includes the **cluster\_id** and **cluster\_name** as tags, which is helpful if you have multiple clusters in your organization.&#x20;


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