Here we go. Some more details we promised yesterday. On our Logiquill platform, where do we analyze the data from students’ applications and interviews (check out on of our earlier posts if you want a reminder on the whole flow Even the most enchanted hats can make a wrong call… | Arctic Cloud Developer Challenge Submissions) we built a project combining Azure Speech-to-Text and automation to claim the Power of the Shell badge in the ALM category. Here’s how we used Azure (WE LOVE IT!!) and scripting to streamline our workflow.
What We Did
We used Azure’s Speech-to-Text service to convert spoken words into text, perfect for automating meeting transcripts or capturing dynamic input. To make deployments repeatable and fast, we created an ARM template that defines the service setup.
How It Works
The following ARM template automatically deploys the Speech-to-Text service: {
"$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#", "contentVersion": "1.0.0.0", "parameters": { "accounts_sp_la_powerpages_name": { "defaultValue": "sp-la-powerpages", "type": "String" } }, "resources": [ { "type": "Microsoft.CognitiveServices/accounts", "name": "[parameters('accounts_sp_la_powerpages_name')]", "location": "northeurope", "sku": { "name": "F0" }, "kind": "SpeechServices", "properties": { "publicNetworkAccess": "Enabled" } } ]}This template deploys the Speech-to-Text service with the F0 pricing tier, ensuring cost efficiency.
Automating with PowerShell
To deploy the service, we used a simple PowerShell script: New-AzResourceGroup -Name "ACDC-RG" -Location "northeurope"
New-AzDeployment -ResourceGroupName "ACDC-RG" ` -TemplateFile "speech-to-text-template.json" ` -TemplateParameterFile "parameters.json"This script creates a resource group and deploys the template, making setup quick and error-free.
Why This Matters
Using the ARM template and PowerShell together:
- Saves time by automating resource creation.
- Ensures every environment is consistent.
- Fits neatly into CI/CD pipelines for ALM workflows.
This approach shows how scripting and Azure services can simplify tasks, letting us focus on building great solutions.
