With the release of the New Zealand North Azure Region on the horizon, I wanted a way to measure what capabilities are being deployed in the new region that could be used, particularly in comparison to Australia East.

To do so, I wrote a script that uses PowerShell to query the provider namespaces of each region, compare them side by side, and output the results into an HTML table.

When attempting to call Azure OpenAI using a Managed Identity, you may encounter the following error:

ERROR:root:Error generating response: Error code: 400 - {'error': {'code': 'Request is badly formated', 'message': 'Resource Id is badly formed or from wrong namespace: NA'}}
2024-11-26T18:57:08.224640325Z ERROR:root:Response content: b'{"error":{"code":"Request is badly formated","message":"Resource Id is badly formed or from wrong namespace: NA"}}'

Streamlit is an excellent tool for creating interactive web applications with Python.

In this post, we will deploy a Streamlit application to Azure Container Apps. Azure Container Apps is a fully managed serverless container service that allows you to run your containerized applications without having to manage the underlying infrastructure.

New Zealand has a new (and only) Azure Cloud region: New Zealand North. It's not every day that we get to explore a new region! This article will examine the latency within the New Zealand North region and between its Availability Zones.

I've come to rely on GitHub Copilot for writing code. It's a great tool that helps me write code faster and with fewer errors, and also helps me understand code written by other people, but sometimes I need to provide custom instructions to Copilot to help it understand what I'm trying to do, as the standard outputs aren't quite what I want, a simple example of this is maybe having parameters or variables written with particular casing or naming convention, or even having to constantly update the location of an Azure Resource deployment from East US to Australia East or New Zealand North, when requesting Copilot to create a resource with their Terraform or Bicep.

In this article, we will look at how to provide custom instructions to GitHub Copilot to help it understand what we are trying to do, to help keep our code standardised and help improve the quality of the outputs.