In AWS, we have several ways to deploy Django (and not Django applications) with Docker. We can use ECS or EKS clusters. If we don't have one ECS or Kubernetes cluster up and running, maybe it can be complex. Today, I want to show how deploy a Django application in production mode within a EC2 host. Let's start.
The idea is create one EC2 instance (one simple Amazon Linux AMI AWS-supported image). This host doesn't initially have Docker installed. We need to install it. When we launch one instance, when we're configuring the instance, we can specify user data to configure an instance or run a configuration script during launch.
How to Use Node.js for Your Website and Application
Node.js is built on Chrome's V8 JavaScript engine and one of the popular open-source JavaScript runtime environments, which can be used to create a website, upload files, and create a TCP App on ECS. In this article, you will get some useful information on these.
How to Build a TCP Application With Node.js on ECS
Before you start the process, you will need a machine running a Linux/Unix distribution such as Ubuntu or macOS, a code editor/IDE with Node.js installed on it, and a basic working knowledge of Node.js.
What is AWS ECS? Running Docker in Production
Running Docker in production has quickly become the norm. Cloud hosting providers like AWS, GCE and Azure realized that this is what organizations need. Services like EKS and ECS from Amazon offer a completely managed environment for your Docker containers to run on. Through this article, we’ll take a closer look to one of them, Amazon ECS, which is Amazon Elastic Container Service. We are going to describe what AWS ECS is, its functions, and its importance in the current market.
“AWS ECS is a fully-managed, scalable and production-ready platform for running containers.”
If you don’t know what any of this means, then the rest of the article is going to help you with that. Suffice it to, say, "fully-managed" implies you don’t have to pay any third-party software vendor to run your containerized application. "Scalable" means you don’t have to worry, ahead of time, about resource utilization. AWS Cloud will make resources, like CPU, memory and storage, available to you, on demand.