When creating multiple instances of the same resource in Terraform, you have two primary meta-arguments at your disposal: count and for_each. While both serve the purpose of creating multiple resources, they differ in their approach and have distinct implications for resource management.

In a recent project, I created a monitoring action group using Terraform and aimed to configure and execute it within an Azure pipeline. The defined variable is a list of objects with the keys name and email_address. Terraform expects this variable as json input and this is where the difficulty began.

Enabling log compaction via the Terraform resource azurerm_eventhub is currently not feasible. Additionally, a bug has been identified within azurerm_eventhub_authorization_rule. Attempting to create an authorization rule encounters an issue when log compaction is enabled.

At present, the Azure CLI does not provide a means to upload schemas into the Event Hubs registry. Currently, the only options available are through the JavaScript SDK and the Azure Portal. I have been exploring a straightforward method to publish schemas seamlessly through a pipeline. This approach ensures that schemas are automatically versioned, released with each deployment, and mitigates the risk of oversight.

Food intolerances, hypersensitivity to certain food or food allergies are on the rise throughout the entire world. Suffering from food intolerances myself, I came up with the idea of inventing an app, that would allow you to easily find out, which products were safe to eat and which ones to avoid.

Welcome to the online butchery! Here you will find the best and freshest sausage stickers!