Name: azure-storage-dd
Owner: Datadog, Inc.
Description: Azure Storage integration helper script
Created: 2017-03-20 15:41:12.0
Updated: 2017-06-21 11:02:34.0
Pushed: 2017-06-28 20:34:07.0
Homepage: null
Size: 182
Language: Python
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Currently, Azure doesn't enable storage metrics by default for each storage account. In addition, minute level transaction metrics can only be enabled for a storage account using Powershell or programmatically.
In order for Datadog to gather metrics from your Azure Storage accounts, this needs to be enabled for each account you want to monitor. Since the storage account metrics are stored in tables in your storage account, we also need read access on your tables to query them for the metrics.
With the storage account name and primary access key, this script will turn on minute level metrics and generate a service level SAS token which will have read-only access for tables only for the respective storage account.
After enabling minute level metrics for a storage account, it can take Azure up to one hour to initially generate the tables. Metrics will not show up in Datadog until after that process completes.
This will turn on minute level metrics for your storage account, which will create additional tables in your account. Azure charges you for the amount of data stored in an account. We allow you to define the length of the retention period in Azure for these tables, so we recommend a small period like 2 days to help minimize costs. You can read more about charges associated with storage metrics on the official azure-docs repo for storage
This script requires python 2.7, so please install it if you don't already have it. Install Python.
Since this depends on the azure-storage library, we recommend that you use a virtual environment to run the script. Here is how:
install virtualenv
ualenv ddazurestorage
dazurestorage
ce bin/activate
Next clone the repository.
clone https://github.com/Datadog/azure-storage-dd.git
Install the azure-storage dependency using pip.
zure-storage-dd
install -r requirements.txt
Go to the storage account you want to integrate in the Azure Portal and navigate to Access Keys under the Settings section.
To turn on one minute metrics for transactions and to generate a read-only SAS token for your Storage account, run the script with the account name and primary access key.:
on azure_cli.py storage monitor_storage_account "{storage account name}" "{storage account primary access key}" "{number of days for retention period in Azure}"
For easy input:
on azure_cli.py storage monitor_storage_account "" "" "2"
Navigate to the Azure Storage integration tile in Datadog and copy and paste into the configuration the account name and account SAS token that was output from the script.
Continue doing this for each storage account and then once done, click Update Configuration.
To exit the python virtual environment, the shell command is deactivate