Azure DevOps CI/CD Pipeline with AKS and ArgoCD

Mani Karthik Gurram

Completed work

DevOps Engineer

Azure DevOps

Docker

Kubernetes

IT Infrastructure

Random Name Selector - Azure DevOps CI/CD with AKS - ArgoCD

This project demonstrates a fully automated DevOps pipeline using Azure cloud resources. It utilizes Azure Virtual Machines (VM) for a self-hosted agent, Azure Kubernetes Service (AKS) for deployment, Azure Container Registry (ACR) for image storage, and Azure DevOps for CI/CD pipelines.

🛠️ Prerequisites

Before running this project, ensure the following Azure services are properly set up:

✅ A Virtual Machine (VM) is deployed (Ubuntu recommended) for self-hosted agent configuration.

✅ An Azure Container Registry (ACR) is created and accessible by AKS with attach-acr policy

✅ An Azure Kubernetes Service (AKS) cluster is configured and running.

az aks create --name random-app-aks --resource-group app2 --node-vm-size Standard_B2s --enable-addons monitoring --attach-acr random-app

✅ kubectl, docker, and git are installed on the VM and configured.

✅ Azure CLI is installed and logged in with your Azure subscription.

✅ The AKS context is added using aks get-credentials --name aks --resource-group new2 `.

🚀 Getting Started

Step 1: Clone or Import the Repository

Clone or import this repository into your Azure DevOps project.

git clone https://dev.azure.com/<your-org>/<your-project>/_git/<repo-name>

Step 2: Configure a Self-Hosted Agent on Azure VM

Follow the agent doc in Azure devOps agent profile to set up a self-hosted agent on your Azure VM.

Step 3: Set Up the Azure Pipeline

Navigate to the Pipelines section in Azure DevOps.

Use the provided azure-pipeline.yml file.

Modify the following variables inside the pipeline as per your Azure subscription:

ACR_NAME

AKS_CLUSTER_NAME

RESOURCE_GROUP

Any repository-specific paths or settings.

Step 4: Configure Personal Access Token (PAT)

Go to User Settings > Personal Access Tokens in Azure DevOps.

Generate a PAT with at least Code (Read & Write) and Build (Read & Execute) scopes.

In your pipeline settings (under "Variables"):

Add a new variable named PAT

Paste the token as the value

Mark it as secret

Step 5: Run the Pipeline

Once everything is configured:

Trigger the pipeline manually or automatically on commit.

Verify that all stages complete successfully.

Monitor your AKS cluster using:

kubectl get pods
kubectl describe pod <pod-name>
kubectl logs <pod-name>

✅ Notes

Modify the Kubernetes deployment manifest (k8s-file/Deployment.yml) to suit your image naming and ports.

This repo uses a shell script (Update-k8s-Manifest.sh) to update the image tag dynamically using the pipeline build ID.

Ensure that your AKS has the correct permissions to pull from ACR.

📦 Tech Stack

Azure DevOps

Azure Container Registry (ACR)

Azure Kubernetes Service (AKS)

Azure VM (Self-Hosted Agent)

Docker

Git

Bash scripting

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Completed work

Posted Oct 6, 2025

Implemented a DevOps pipeline using Azure DevOps, AKS, and ACR. Implemented CI/CD pipeline to deploy directl to AKS cluster and Argo CD aaproach, reduce time.

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