Deploying to Local Kubernetes from the Cloud? Watch This | Azure DevOps to On-Prem Kubernetes

Description

🚀 **Deploy to On-Prem Kubernetes Using Azure DevOps Pipelines | Step-by-Step CI/CD Guide** In this video, we demonstrate how to deploy Kubernetes Pods and Services to an **on-prem Kubernetes cluster** using **Azure DevOps Pipelines**. You’ll learn how to connect a local machine (running Minikube) to Azure DevOps using **Environments (Virtual Machine resource)** and trigger a cloud-based CI/CD pipeline that deploys Kubernetes manifest files directly to your on-prem infrastructure. This is a complete hands-on demo covering: ✅ Azure DevOps Environments setup ✅ Connecting local VM to Azure DevOps ✅ Creating and using Azure Pipelines (azure-pipelines.yaml) ✅ Deploying Kubernetes manifests (pods.yaml & services.yaml) ✅ Verifying Pods and Services using kubectl ✅ Port forwarding and validating NGINX in the browser ✅ Cloud CI/CD to On-Prem Kubernetes architecture ## 🔥 Technologies Covered * Azure DevOps * Azure Pipelines * Azure Repos * Kubernetes * Minikube * kubectl * Docker & Docker Hub * NGINX Container * CI/CD for Kubernetes * On-Prem Deployment using Azure DevOps ## 🎯 What You’ll Learn If you are a DevOps Engineer, Cloud Engineer, or Kubernetes beginner, this video will help you understand: * How to deploy Kubernetes workloads from the cloud to a local machine * How Azure DevOps Environments work * How to configure a self-hosted agent on Linux * How to automate Kubernetes deployments using CI/CD * How to manage on-prem infrastructure using Azure DevOps Azure DevOps Kubernetes deployment Deploy to On-Prem Kubernetes Azure DevOps Environments VM Kubernetes CI/CD Pipeline Deploy Kubernetes using Azure Pipelines Minikube Azure DevOps integration Self-Hosted Agent Azure DevOps Kubernetes YAML deployment tutorial On-Prem CI/CD with Azure DevOps NGINX Kubernetes deployment 💡 This tutorial shows how powerful Azure DevOps can be when integrating cloud CI/CD with on-prem Kubernetes clusters. 🔥 Don’t forget to Like, Share, and Subscribe for more hands-on tutorials on AI, DevOps, Cloud, and Automation. Python EveryDay 🐍🚀