Containerize a web application using Docker to ensure portability and efficiency.
Deploy the containerized application on a Kubernetes cluster and configure networking.
Implement Kubernetes scaling mechanisms to handle varying workloads efficiently.

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授课语言：英语（English）

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关于此指导项目

In this project, I’ll walk you through how to use Docker and Kubernetes to deploy and scale a high-performance e-commerce application. The goal is to design a resilient and scalable platform capable of handling dynamic traffic demands efficiently. We’ll cover:

• Containerising applications using Docker for portability and efficiency. • Setting up Kubernetes deployments and services to ensure high availability. • Configuring horizontal pod autoscaling to manage traffic spikes. • Optimizing resource allocation with requests, limits, and affinity rules. • Testing and implementing failure recovery mechanisms to maintain uptime. By the end of this project, you’ll know how to deploy and manage production-ready e-commerce platforms with Kubernetes. This project is ideal for developers, DevOps engineers, and anyone looking to master container orchestration for scalable infrastructure. Some experience with web development, networking, YAML files, and command-line operations is recommended to ensure a smoother learning experience.

分步进行学习

在与您的工作区一起在分屏中播放的视频中，您的授课教师将指导您完成每个步骤：

Learners will explore the fundamentals of Docker and the benefits of containerisation. They will write a basic Dockerfile to containerize a simple e-commerce web application.
Learners will be introduced to Kubernetes architecture, its key components, and the role of cluster orchestration. They will install Minikube to set up a Kubernetes environment.
Learners will write a Kubernetes Deployment YAML file, deploy their Dockerized app to a Kubernetes cluster, and expose it via a Kubernetes Service. They will also verify the deployment.
Learners will apply the concepts from previous lessons by containerizing an e-commerce app with Docker, writing Deployment and Service YAML files, deploying the app on Kubernetes.
Learners will learn about ReplicaSets, Load Balancing, and the Horizontal Pod Autoscaler (HPA) while optimizing resource allocation with requests and limits.
Learners will use Kubernetes monitoring tools to diagnose issues and optimize application performance. They will learn best practices for debugging containerized applications.
Learners will integrate all concepts learned, deploying a fully scalable and monitored e-commerce application on Kubernetes. They will configure load balancing, autoscaling, and failure recovery.