In today’s cloud-native world, containerized applications have become the norm. To help developers run and manage these containers efficiently, AWS offers services like ECS and ECR—but what exactly are they? And how do they relate to Docker?

If you're new to this ecosystem or just want a clearer understanding of how these pieces fit together, this article will break it down in the simplest, most practical terms.


🧱 First, What Is a Container?

Let’s start from the basics.

A container is a portable package that contains everything your app needs to run—code, runtime, libraries, and system tools.

Think of it as a "box" that holds your application and all its dependencies, so you can run it consistently on any environment—whether that's your laptop, a server, or the cloud.


🐳 What Is Docker?

Docker is the most widely used platform for building and running containers.

Here are some key Docker concepts:

Concept Description
Image A read-only blueprint of your application. Think of it as a template.
Container A running instance of an image. This is where your app actually lives and works.
Dockerfile A recipe for building an image. It contains step-by-step instructions.
Docker Hub A public repository for sharing and pulling images.
Container Registry A place to store and manage your own images. (More on this in a sec.)

🔐 What Is Amazon ECR?

Amazon Elastic Container Registry (ECR) is AWS’s private container image repository.

It works just like Docker Hub but lives inside your AWS environment, with tighter security and integration.

Why use ECR?

  • You can securely store Docker images
  • Set access permissions via IAM
  • Integrate seamlessly with ECS, CodeBuild, CodePipeline, etc.

Basic ECR workflow:

  1. Create a repository
  2. Log in using AWS CLI
  3. Build your Docker image
  4. Tag the image for ECR
  5. Push the image to the repository

⚙️ What Is Amazon ECS?

Amazon ECS (Elastic Container Service) is AWS’s service for running and managing Docker containers at scale.

It takes care of orchestration—scheduling, scaling, and monitoring your containers so you don’t have to manually manage them.


🧩 ECS Key Concepts—Explained Simply

Here’s a quick and relatable analogy to understand ECS better:

ECS Concept Analogy Role
Cluster Land / Plot of land The environment where containers run
Task Definition Recipe / Blueprint Defines how to run your app (image, CPU, memory, etc.)
Task The actual dish A running app, based on the recipe
Service Restaurant manager Keeps your app running at all times

Let’s break it down even further:

  • A Cluster is the container runtime environment. It can be EC2-backed (you manage the servers) or Fargate (AWS handles the servers).
  • A Task Definition is a JSON-based configuration for your containerized app.
  • A Task is what gets launched based on the Task Definition—it’s the actual app instance.
  • A Service keeps your tasks running 24/7, restarts them if they fail, and handles load balancing if needed.

▶️ Ways to Run Containers in ECS

There are two main ways to run containers in ECS:

1. Run a Task directly

  • Great for one-off jobs like batch processing
  • Stops automatically after completion

2. Run a Task via a Service

  • Ideal for long-running apps like web services
  • Ensures a specified number of tasks are always running

☁️ Fargate vs. EC2 Launch Types

When launching containers, ECS gives you two choices:

Launch Type Fargate EC2
Server Management None (serverless) Required (you manage EC2 instances)
Scaling Easy, auto-managed Manual scaling of instances
SSH Access Not available Available (for debugging)

Fargate is a great choice when you don’t want to manage infrastructure and just want to deploy your app and go.


🧭 Putting It All Together

Here’s the typical workflow for running Dockerized apps on AWS:

Write a Dockerfile
↓
Build a Docker image
↓
Push it to ECR
↓
Create a Task Definition in ECS
↓
Run the app via a Task or Service

Once you’ve mastered this flow, you’re on your way to building scalable, cloud-native apps.


✅ Final Thoughts

ECS + ECR + Docker is a powerful combo for building and deploying containerized applications on AWS. Even if you're just starting out, tools like Fargate make it super easy to get your first app running without worrying about servers.

Start small—maybe containerize a simple web app and try deploying it with Fargate. Once you see how everything connects, the rest will fall into place.

Happy shipping! 🚢