Author: Roy Kim (MVP)

Solutions architect and developer for the enterprise. Azure, SharePoint and Microsoft 365 Microsoft Azure MVP Technical Expertise: Azure, SharePoint, Office 365, .NET, JavaScript, Microsoft Azure, MS Business Intelligence, Solutions Architecture. roy@roykim.ca

Exploring Azure Verified Module for Azure Kubernetes Service

On By Roy Kim (MVP)In Azure, Kubernetes, TerraformLeave a comment

I have been testing out the Azure Verified Module for Azure Kubernetes Service that can be found in the Terraform Registry at https://registry.terraform.io/modules/Azure/avm-res-containerservice-managedcluster. This module came out in October 2024 so its fairly new. This module is suitable for enterprise-grade production environments, applies Microsoft best practices, features RBAC, complex monitoring. Also it is supported by …

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Well Architected Framework With The Azure Verified Module For Azure Kubernetes

On By Roy Kim (MVP)In Azure, Kubernetes, TerraformLeave a comment

I came across the Azure Verified Module for Azure Kubernetes Service and in its Github repo I found a Well Architected Framework (WAF) Aligned example for deploying this Terraform module. So asked myself, "What exactly makes this example of deploying AKS WAF Aligned?" Before I get into that, let me explain what is WAF.  It …

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Azure Verified Module Storage Account: Firewalls and Virtual Network Configuration

On By Roy Kim (MVP)In Azure, TerraformLeave a comment

I have been trying out the Azure Verified Module avm-res-storage-storageaccount. module's repo: https://github.com/Azure/terraform-azurerm-avm-res-storage-storageaccount/tree/main Hashicorp Terraform Registry: https://registry.terraform.io/modules/Azure/avm-res-storage-storageaccount/azurerm/latest?tab=inputs I like show some simple networking scenarios in the Firewalls and Virtual networks configuration in terms of this modules parameters. This configuration is found at The module input parameters to discuss are the following: public_network_access_enabled bool Description: (Optional) Whether the …

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Permissions with Azure AI Foundry: Safety And Security

On By Roy Kim (MVP)In AI, SecurityLeave a comment

As I was starting to try out Azure Foundry Safety and Security feature, I confronted with the error "Your account does not have access to this resource, please contact your resource owner to get access". And so I went to the Management Center, to check user permissions and yet I have owner permissions at the …

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Azure Terraform Starter Project Example

On By Roy Kim (MVP)In Azure, DevOps, TerraformLeave a comment

This project is sample code for those who are beginners to Terraform for Azure and as a quick reference. There are many ways to structure a terraform project in your repo, but I just want to show and explain my code. The starter project sample is suited for solo engineer/developer non collaborative establish a simple …

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Deep Dive Into Fine-Tuning An LM Using KAITO on AKS – Part 4: Evaluation

On By Roy Kim (MVP)In AI, Azure, Kubernetes3 Comments

In the previous article Part 3, I have shown deploy the fine-tuned model on Azure Kubernetes Service with the Kaito add-on. In this article, I will show manual evaluation with a series of prompts taken from the fine-tuning dataset. This blog post is part of a series.Part 1: Intro and overview of the KAITO fine-tuning …

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Deep Dive Into Fine-Tuning An LM Using KAITO on AKS – Part 3: Deploying the FT Model

On By Roy Kim (MVP)In AI, Azure, Kubernetes4 Comments

Now that I have fine-tuned a model in Part 2, next is to deploy the fine tuned model into a new Kaito workspace. This blog post is part of a series.Part 1: Intro and overview of the KAITO fine-tuning workspace yamlPart 2: Executing the Training Kubernetes Training JobPart 3: Deploying the Fine-Tuned ModelPart 4: Evaluating …

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Deep Dive Into Fine-Tuning An LM Using KAITO on AKS – Part 2: Execution

On By Roy Kim (MVP)In AI, Azure, Kubernetes3 Comments

I will continue from the Part 1 to execute the deployment of the fine-tuning workspace job. This blog post is part of a series.Part 1: Intro and overview of the KAITO fine-tuning workspace yamlPart 2: Executing the Training Kubernetes Training JobPart 3: Deploying the Fine-Tuned ModelPart 4: Evaluating the Fine-Tuned Model Let' start the fine …

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Deep Dive Into Fine-Tuning An LM Using KAITO on AKS – Part 1: Intro

On By Roy Kim (MVP)In AI, Azure, Kubernetes4 Comments

I uncover the process and workings of fine-tuning a large language model on a dataset. Scenario for fine-tuning a model can be on corporate data such as a knowledge base, product information, human resources. I walk you through the process and share my detailed observations. What is Fine-tuning a large language model? Involves adjusting a …

Continue reading Deep Dive Into Fine-Tuning An LM Using KAITO on AKS – Part 1: Intro