Deploy and Host Ghost CMS on AWS Using Fargate + Aurora Serverless + Application Load Balancer

In this build session, I walked through how to deploy Ghost CMS on AWS using Amazon ECS (Fargate) and explained the architecture end-to-end using the diagram attached. The focus was simple: take Ghost CMS from a container image to a working AWS deployment that you can access through a load balancer, backed by a managed database. 🧱 What We’re Building We set up a clean request flow: ➜ Users send traffic to an Application Load Balancer (ALB) ➜ The ALB routes traffic to an ECS Service running on Fargate ➜ The service runs Ghost as Fargate Tasks ➜ Aurora Serverless is used as the database backend ➜ The Task Definition defines the container image and runtime config For the session, we kept the setup lightweight and used DockerHub as the image source. 🔍 What We Covered in the Session ✅ ECS + Fargate basics (what runs where, and why) ✅ Service vs Task (what stays running vs what gets replaced) ✅ Task Definition (where image + ports + env vars live) ✅ ALB routing into ECS (how traffic reaches your containers) ✅ Connecting Ghost to Aurora Serverless ✅ A practical Ghost CMS example you can reuse for your own apps 🧩 Optional Extensions (if you want to keep going) If you want to extend what we built, here are the easy next steps: ➜ Use ECR instead of DockerHub ➜ Add ACM for HTTPS ➜ Put CloudFront in front of the Load Balancer ➜ Add WAF to filter and rate-limit traffic Subscribe for more practical AWS build sessions. Check my blog for the Terraform code for the VPC and more content like this: https://brainyl.cloud/ghost-cms-ecs-f... — Build with Brainyl