Azure

Azure OpenAI provides developers with the ability to add AI to their applications using a variety of different models from OpenAI. This includes GPT-4, GPT-4 Turbo with Vision, GPT-3.5-Turbo and Embedding models. We can add AI functionality to our applications using C#, Python or REST APIs. The Generative AI capabilities that are available in Azure OpenAI are provided through the models, which belong to different families. This article assumes that you already have access to Azure OpenAI. To use Azure OpenAI, you need to be approved. Luckily for me, my work already has a resource for me to use. If you haven’t got one, check out this guide to get started. ...

I’m studying for my CKAD exam, so this article is serving as a reference for me to cover the core concepts in that exam. This article will cover Pods, Namespaces, the kubectl CLI tool, and how we can use it to create objects in Kubernetes. Kubernetes Primitives These are the basic building blocks in Kubernetes for building and operating applications that you host on it. These could include Pod, Deployments, Services etc ...

Kubernetes provides reliable scheduling of fault-tolerant application workloads, and is ideal for container orchestration. AKS is a managed Kubernetes platform on Azure, which makes this simpler for us manage our container workloads. In this blog post, I’ll talk about the main components of Azure Kubernetes, such as control plane nodes, node pools, pods, deployments etc. I’ll also talk about how we can configure network access in AKS, and how we can monitor our AKS clusters. ...

Earlier on this week, I gave a presentation to two user groups on the Radius project. If you want to check them out you can view them here: This one is from Coding Nights NZ, run by Microsoft MVP Marcel Medina: The other is from the Azure Community Enthusiasts User Group, run by Microsoft MVP Nicholas Chang: ...

In a microservices architecture, services are divided into smaller ones to work together to process business transactions. This gives us the advantage of being able to develop services quicker and scale them independently. However, designing a distributed workflow is challenging and communication between the services is complex. One approach we could take is to implement a centralized orchestrator that acknowledges all incoming requests and delegates them to the relevant services. The orchestrator manages the entire workflow of the transaction. ...