Optimizing Azure Table Storage: Automated Data Clean-up using a PowerShell script with Azure Automat
Scenario
This blog’s aim is to manage Table Storage data efficiently. Imagine you have a large Azure Table Storage that accumulates logs from various applications or any unused older data. Over time, this data grows significantly, making it necessary to periodically clean up old entries to maintain performance and manage costs. You decide to automate this process using Azure Automation. However, lifecycle management policies are limited to the Blob service only.
By scheduling a PowerShell script, you can efficiently delete outdated data from your Azure Table Storage without manual intervention. This approach ensures that your storage remains optimized, and your applications continue to run smoothly.
Below is the PowerShell script which delete Table Entities based on Timestamp: -
|
Connect-AzAccount -Identity $SubscriptionID = "xxxxxxxxxxxxxxxxxx" $StorageAccount = "xxxxxxxxxxxxxxxxxxx" foreach ($table in $alltablename) {
#DISCLAIMER |
Here are the steps to schedule a PowerShell script in Azure Automation :-
-
Create an Azure Automation Account by following the link:
-
Add Modules to Azure Automation Account:
- Navigate to the created automation account page.
- Go to the "Modules" tab under the "Shared Resources" section and choose the "Add a module" option.
- You can either manually import modules from your local machine or import inbuilt modules from the gallery.
- In this article, we will proceed with the gallery option.
- Search for the Storage Modules.
- Add the module with recommended Runtime version.
-
Create a PowerShell Runbook:
- In the Azure Portal, navigate to your Automation Account.
- Under "Process Automation", select "Runbooks".
- Click on "Create a runbook".
- Enter a name for the runbook, select "PowerShell" as the Runbook type, and click "Create".
- Once Runbook is created, in the "Edit PowerShell Runbook" page.
- Enter your PowerShell script and click "Publish".
-
Schedule the Runbook:
- Go to the respective Runbook and choose the "Link to schedule" option.
- Select the "Link a schedule to your Runbook" option and choose the appropriate schedule.
- If you go ahead wit Schedule option, you can create a new schedule by specifying the name, description, start date, time, time zone, and repeating information.
- Go to the respective Runbook and choose the "Link to schedule" option.
-
Monitor the Runbook:
- You can monitor the runbook's execution by going to the Jobs section under Process Automation in your Automation account.
- Here, you can see the status of the runbook jobs, view job details, and troubleshoot any issues.
These steps should help you schedule your PowerShell script in Azure Automation. If you have any more questions or need further assistance, feel free to ask!
References :-
Published on:
Learn moreRelated posts
Azure Storage - TLS 1.0 and 1.1 retirement
Overview TLS 1.0 and 1.1 retirement on Azure Storage was previously announced for Nov 1st, 2024, and it was postponed recently to 1 year later...
Efficient Management of Append and Page Blobs Using Azure Storage Actions
Overview In Azure Storage, Blob Lifecycle Management (BLM) allows you to automate the management of your data based on rules defined by...
[Azure AI Search] Internal Server Error when creating CMK encrypted objects
Scenario Customers follow the Microsoft doc to create CMK encrypted objects (data source, index etc.), but get the 500 Internal Serv...
Optimizing Azure Table Storage: Automated Data Cleanup using a PowerShell script with Azure Automate
Scenario This blog’s aim is to manage Table Storage data efficiently. Imagine you have a large Azure Table Storage that accumulates logs from ...
Restoring Soft-Deleted Blobs with multithreading in Azure Storage Using C#
Blob soft delete is an essential feature that safeguards your data against accidental deletions or overwrites. By retaining deleted data for a...
Performing simple Azure Table Storage REST API operations using curl command.
The blog provides guidance to perform simple Table Storage REST API operations such as Create table, Delete Table, Insert entity, Delete entit...
Bulk delete all the old jobs from the batch account
Deleting a Job also deletes all Tasks that are part of that Job, and all Job statistics. This also overrides the retention period for Task dat...
Utilizing Azure Storage and Runbooks for scheduled automated backups of Azure SQL Databases
In this article, we are going to provide detailed steps to create a scheduled Azure SQL Database backup to storage account using automation. T...
[Azure Service Bus] JMS messages getting dead-lettered
The article discusses a problem where numerous messages end up in the dead letter queue (DLQ) when the JMS service bus consumer connects to th...
Subscribe to Azure Storage Blob Lifecycle Policy Events
The LifecyclePolicyCompleted event is generated when the actions defined by a lifecycle management policy are performed. Refer - Opt...