The following sections explain how to deploy the Movie Recommendation service to Amazon Web Service (AWS).
Specifically, deploying to a cluster running multiple containers behind an application load balancer. Each container will run a single instance of the service. The application load balancer routes API requests to different containers in a "round-robin" fashion. Data is persisted to a PostgreSQL database.
IMPORTANT: It is assumed you have the AWS CLI available and AWS credentials are correctly configured using aws configure. For more information of configuring your AWS CLI, read Amazon's guide to the Configuring the AWS CLI.
The AWS deployment process is broken down in two steps:
Before we can spin-up any container instances, we must provide the Amazon Elastic Container Registry (ECR) with a Docker image of the service.
The Pushing the Service to the Amazon Elastic Container Registry section explains the process of how to create a Docker image of the service and push this to the AWS Elastic Container Registry (ECR) using the provided script.
Once a Docker image of the service has been pushed to AWS, it can be deployed as part of a cluster using the AWS Elastic Container Service (ECS).
The deployment process has been scripted for consistency and ease-of-use using Terraform.
The Deploying Service to AWS using Terraform section explains how to deploy and run the service on AWS using Terraform.