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⏱️ 2 min read (232 words)
I’ve been playing around with Azure Functions recently. I’m hoping to do a specific write up later explaining what I’m building and why. For now though I’ve been writing some easy Python code to read data from Table Storage and create messages on Queues.
It’s pretty easy to get started using VSCode with the Azure extension to create, write and run the functions. To emulate the storage I’m using Azurite which is an open source Azure storage emulator. This is needed to emulate the functions storage and also the Table and Queue that I’m using to read and write data to.
Attaching the storage is really easy using the bindings supported. There’s lots of bindings and triggers I’d like to try in the future, especially the IoT hub. - https://learn.microsoft.com/en-us/azure/azure-functions/functions-triggers-bindings?tabs=csharp#overview
An example of a queue binding:
{
"scriptFile": "__init__.py",
"bindings": [
{
"name": "msg",
"type": "queueTrigger",
"direction": "in",
"queueName": "messagequeue",
"connection": "AzureWebJobsStorage"
}
]
}
To access the storage and manipulate the queue I am using the Azure Storage Explorer, which was really easy to install on Ubuntu using snap - https://azure.microsoft.com/en-us/products/storage/storage-explorer
The plan is to create a group of functions to aid publishing these blog posts to social media platforms.
Next on the list is to create a Bicep template to deploy my Function Apps and Storage.
Health ❤️ ❤️ ❤️ ❤️ ❤️
Come back soon for the next quest 🏹