How to Make your AI Application Highly Scalable? (AWS EKS to Azure AKS Migration)

Are you ready to deploy a highly scalable AI application on the cloud? 🌐✨ In this video, I’ll guide you through the entire process of setting up a robust infrastructure using Azure Cloud. Whether you're handling a growing number of users or migrating from another cloud platform, this tutorial has got you covered. 🚀 What You’ll Learn: Creating a Repository 🗄️: Store and manage your code efficiently. Building Container Images 🐳: Learn about containerisation with Docker. Setting Up CI/CD Pipelines 🔄: Automate your build and deployment processes. Deploying to Kubernetes 📦: Orchestrate and scale your application. Load Balancing & Monitoring 📊: Ensure your application runs smoothly and securely. Detailed Steps: Repository Setup: Organize your frontend and backend code. Container Registry: Store your Docker images. CI/CD Pipeline: Automate the creation and deployment of container images. Kubernetes Cluster: Deploy and manage your application. Load Balancer: Distribute traffic efficiently. Monitoring with Prometheus: Keep an eye on your application's performance. Security with Let's Encrypt: Secure your application with SSL certificates. Tools Used: Terraform: Infrastructure as Code Helm Charts: Kubernetes Package Manager Docker: Containerisation Prometheus: Monitoring Let's Encrypt: SSL Certificates 🔗 Relevant Links: Patreon: https://patreon.com/MervinPraison Ko-fi: https://ko-fi.com/mervinpraison Discord: https://discord.gg/nNZu5gGT59 Twitter / X : https://twitter.com/mervinpraison Sponsor a Video or Do a Demo of Your Product: https://mer.vin/contact/ Code: https://mer.vin/2024/06/migrating-from-gcp-gke-to-azure-aks/ 📅 Timestamps: 0:00 Introduction 0:18 Overview of AI Application Deployment 2:00 Setting Up Repositories and Containers 4:51 Creating and Managing Pipelines 5:55 Building the Kubernetes Cluster 7:23 Deploying Container Images 8:16 Monitoring and Load Balancing 9:03 Securing with Let's Encrypt 9:41 Auto Scaling and Cost Efficiency 10:09 Conclusion