Automate and Send Alerts for Elastic Jobs Failures

This post has been republished via RSS; it originally appeared at: New blog articles in Microsoft Tech Community.


Alerts can be sent for any particular state of an elastic job. In this article, we discuss the case of 'Failed' jobs, however the solution can be easily extended to other scenarios. The script can be executed on client machines in background on a schedule or in Azure Automation Runbook. If failed jobs are identified, email notifications are sent, with an attachment of a log file containing only the failed jobs. 


Elastic Jobs are currently in public preview and the monitoring capabilities are resuming for now to ad-hoc executions of T-SQL / PowerShell commands to retrieve the elastic job execution status, with no embedded option for sending alerts in case of a job failure. 


This need has been addressed through a PowerShell script that filters job executions based on their status and sends the output to a log file, that is further sent as an attachment in a notification email and in the same time the log file is stored in an Azure Storage Account for further reference. 


script output when executed on client machinescript output when executed on client machine


The jobs are filtered with the below T-SQL, that can be modified as per the requirements:


SELECT * FROM jobs.job_executions WHERE lifecycle = 'Failed' ORDER BY start_time DESC



Other possible values for job execution states are CreatedInProgressWaitingForRetry, Succeeded, SucceededWithSkipped, Failed, TimedOut, Canceled, Skipped and WaitingForChildJobExecutions.


Generated log file:

log file snippetlog file snippet


Save log file to storage account:


# Get key to storage account $acctKey = (Get-AzStorageAccountKey -Name generals -ResourceGroupName general).Value[0] # Map to the reports BLOB context $storageContext = New-AzStorageContext -StorageAccountName $StorageAccountName -StorageAccountKey $acctKey # Copy the file to the storage account Set-AzStorageBlobContent -File $output_file -Container StorageContainerName -BlobType "Block" -Context $storageContext -Verbose



save log to storage accountsave log to storage account


The email functionality can be leveraged through any Simple Mail Transfer Protocol server. The proposed script is using on port 587


email notification alertemail notification alert


How to run and automate alerts


As elastic jobs can be scheduled to run on a regular basis from both PowerShell and T-SQL, so our alert script can. Depending on the desired deployment type you choose, there are several options. For any of the below options, you have to set the required parameters in the script: Insert SQL Server Details, Credentials & SMTP server details:


$server = '' # Set the name of the server $jobDB = '' # Set the name of the job database you wish to test $user = '' # Set the login username you wish to use $passw = '' # Set the login password you wish to use $FromEmail = '' # "from" field's account must match the smtp server domain $FromEmailPassw = '' # use app/server access token - it works with account passw $ToEmail = '' $SMTPServer = "" #insert SMTP server $SMTPPort = "587" # or port 465 $StorageAccountName = '' $StorageContainerName = ''




Run the script on schedule in background on client machine


In order to run it you need to:

  • Open Windows PowerShell ISE in Administrator mode

  • Open a New Script window

  • Paste the content in script window

  • Run it

  • If failed jobs are found, an alert email will be triggered and the log file containing details on the failed jobs will be attached to the email and either saved locally or sent to a storage account. The result of the script can be followed in the output window.

  • To run the script in background on a schedule, you can use the following commands:


## ========================================================================= ## Schedule Commands for Client Machines ## ========================================================================= ## To schedule script execution in background, please see below options #insert parameter values $script = 'script.ps1' # insert script path $Time= 'MM/DD/YYYY HH:MM' # insert desired start time for schedule $jobName = 'Job1'#insert desired job name # display all scheduled jobs Get-ScheduledJob # add new job to run at schedule Register-ScheduledJob -Name $jobName -FilePath $script -Trigger (New-JobTrigger -Once -At $Time ` -RepetitionInterval (New-TimeSpan -Minutes 1) -RepetitionDuration ([TimeSpan]::MaxValue)) # command to remove a scheduled job Unregister-ScheduledJob $jobName




Run the script from Azure Runbook


  • Create a new Automation Account as described here and make sure you choose "YES" for option "Create Azure Run As Account".
  • Import the following Azure Modules by browsing the gallery: 
            Az.Accounts (≥ 2.2.2)

             browse gallery - add modulebrowse gallery - add module


  • Create a runbook to run the script and make sure you choose Powershell runbook type.

           add a runbookadd a runbook


  • Add the following login section when connecting from a Runbook        


## ========================================================================= ## Login when running from a Runbook ## ========================================================================= ## Enable this code section when running from Azure Runbook ## Get the connection "AzureRunAsConnection" when run from automation account $connection = Get-AutomationConnection -Name AzureRunAsConnection Connect-AzAccount ` -ServicePrincipal ` -Tenant $connection.TenantID ` -ApplicationId $connection.ApplicationID ` -CertificateThumbprint $connection.CertificateThumbprint "Login successful..."



  • Schedule task

         schedule taskschedule task


Note: Script execution can be monitored in the portal and alerts can be set for any script execution failure.


job execution monitorjob execution monitor


The script can be found in the following Git repository. This project welcomes contributions and suggestions.



REMEMBER: these articles are REPUBLISHED. Your best bet to get a reply is to follow the link at the top of the post to the ORIGINAL post! BUT you're more than welcome to start discussions here:

This site uses Akismet to reduce spam. Learn how your comment data is processed.