How to Deploy a Spring Boot App with MySQL on Amazon EKS

                     How to Deploy a Spring Boot App with MySQL on Amazon EKS
               



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                     How to Deploy a Spring Boot App with MySQL on Amazon EKS
               
Categoria: Tutoriais | FreeCodeCamp Premium
Idioma Principal: Português (Conteúdo de Tecnologia)

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If you've been looking to deploy your Spring Boot app to the cloud but feel a little overwhelmed by all the moving pieces, don't worry, you're not alone.

Kubernetes can seem intimidating at first, but Amazon EKS (Elastic Kubernetes Service) makes it much more approachable, especially when you have a step-by-step guide to follow.

In this tutorial, we'll walk through exactly how to get a Spring Boot application with a MySQL database up and running on Amazon EKS. I'll take you from from containerizing your app to connecting it to a managed database, all the way to accessing it live in the cloud. Let's get started.

Table of Contents

• Prerequisites

• Application Overview

• What is Amazon EKS?

• How to Deploy a Spring Boot App with MySQL on Amazon EKS

• Step 1: Create the VPC

• Step 2: Set Up the MySQL Database in a Private Subnet

• Step 3: Deploy EC2 Instance in a Public Subnet

• Step 4: Create SSH Tunneling for the Database

• Step 5: Set Up a Simple SpringBoot Application Development

• Step 6: Configure SpringBoot App for Database

• Step 7: Dockerize the Spring Boot Application

• Step 8: Push the Image to Elastic Container Registry (ECR)

• Step 9: Implement AWS App Load Balancer

• Step 10: Create a Cluster in EKS

• Step 11: Install AWS Load Balancing

• Step 12: Create and Deploy Kubernetes

• Step 13: Delete Cluster

• Conclusion

Prerequisites

Before you begin, ensure you have the following:

• Basic knowledge of AWS (AWS Console access).

• Basic knowledge of containerization.

• Working knowledge of Kubernetes.

• Basic knowledge of databases.

• Helm installed

• Kubectl installed

• Eksctl installed

• An IDE

Application Overview

The application runs inside an AWS VPC spread across two availability zones for high availability. When a user makes a request, it flows through an Internet Gateway into an AWS Application Load Balancer sitting in the public subnet, which handles incoming traffic via an Ingress rule.

The Load Balancer routes requests to the App Service, which distributes them across multiple App Pods running inside AWS EKS (Elastic Kubernetes Service) in the private subnets.

The Docker images for these pods are pulled from AWS ECR (Elastic Container Registry). For data persistence, the app pods connect to Amazon RDS MySQL databases through a MySQL External Service, with an RDS instance in each availability zone to ensure redundancy.

A NAT Gateway in the public subnet allows the private resources to make outbound internet calls without being directly exposed to the internet.

What is Amazon EKS?

If you've ever tried to manage containers manually, you already know it can get messy pretty quickly, tracking which containers are running, restarting ones that crash, scaling up when traffic spikes... It's a lot.

That's exactly the problem Kubernetes was built to solve. It automates the deployment, scaling, and management of containerized applications. But setting up and maintaining your own Kubernetes cluster from scratch? That's a whole other challenge.

That's where Amazon EKS comes in. EKS is a fully managed Kubernetes service provided by AWS, which means AWS handles the heavy lifting of setting up, securing, and maintaining the Kubernetes control plane for you. You just focus on deploying your application.

How to Deploy a Spring Boot App with MySQL on Amazon EKS

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