I've written, about GitHub Codespaces before, in the article Coding on the Cloud - Getting Started with GitHub Codespaces, this article builds on it by supplying a Codespace setup for Infrastructure as Code (IaC) coding, including Bicep and Terraform, and Linting.
Cloud Design patterns help build reliable, scalable, secure applications in the cloud.
Today, we will cover common patterns, their use cases, and considerations.
The patterns we will cover today are only a small set of common patterns documented in the Azure Architecture Center.
Troubleshooting Azure Open AI and API calls to OpenAI can be challenging, especially when you may not know where to start!
The idea of this article is to give you not only a place to start with some common scenarios you may run into but also a way of thinking - to help you troubleshoot. This is not a technical 'get-your-hands dirty, delve into those logs' type article.
I am a big fan of the KT, or Kepner-Tregoe problem analysis methodology, and I have used it in many scenarios throughout my career to help discover and test the root cause of various problems. So, we will use the base of this problem analysis methodology to help us troubleshoot the scenarios we will discuss in this article.
