What is ECS?

ECS stands for Elastic Container Service is a fully managed container orchestration service provided by AWS. It allows you to run, manage, and scale Docker containers in a highly scalable and flexible manner.
With ECS, you can easily deploy containers as tasks within clusters of EC2 instances or by utilizing AWS Fargate, a serverless compute engine for containers.
ECS takes care of the underlying infrastructure, including resource provisioning, load balancing, and automatic scaling, enabling you to focus on running your applications. It integrates seamlessly with other AWS services, providing a comprehensive ecosystem for building and deploying containerized applications.
ECS offers features such as task definitions, which define container configurations, and services, which help with managing and scaling tasks. It provides fine-grained control over networking, security, and access control, ensuring reliable and secure container deployments at scale.

What is ECR?

ECR stands for Elastic Container Registry, it is a fully managed Docker container registry provided by AWS. ECR allows you to store, manage, and deploy Docker container images, making it easier to build, test, and deploy applications using containers.
With ECR, you can securely store and share your container images, ensuring reliable access and high availability. It integrates seamlessly with other AWS services like ECS, EKS (Amazon Elastic Kubernetes Service), and CodePipeline, enabling streamlined container workflows.
ECR supports private repositories, fine-grained access control, image lifecycle management, and automatic encryption at rest.
By using ECR, developers can easily push, pull, and manage container images, while ensuring their availability, security, and scalability within the AWS ecosystem.

AWS Fargate is a serverless compute engine for containers provided by Amazon Web Services (AWS). It allows you to run containers without the need to manage the underlying infrastructure.
With Fargate, you can focus solely on deploying and scaling your containers, while AWS takes care of provisioning and managing the necessary compute resources.
Fargate abstracts away the complexities of managing EC2 instances and allows you to run containers as tasks directly. It automatically scales the underlying infrastructure based on the resource requirements specified in your task definitions.
Fargate integrates seamlessly with other AWS services like ECS and EKS, enabling you to build scalable and highly available containerized applications.
By using Fargate, developers can enjoy the benefits of serverless computing for containers, such as reduced operational overhead, improved resource utilization, and simplified deployment workflows, ultimately allowing them to focus more on application development and innovation.

In the ECR, Click on "Create Repository"
Keep the repo public so that we can access easily.
Provide the reasonable repository name
Once all the details are filled in, now click on "Create the Repository".
The ECR Repo has been created, we have to push the application image from the server.

Setup docker into the EC2 instance

Install docker in the EC2 Instance using below commands.

  sudo apt update
  sudo apt install docker.io -y

  sudo usermod -aG docker $USER
  sudo reboot

Now git clone the Flask app code from the GitHub Repo

  git clone https://github.com/Abhisek773/flask-app-ecs.git

Change into the repository folder.
```
  cd flask-app-ecs
```
- We can verify the content of the file using cat command.

Now copy and paste the ECR commands one by one that is provided.
- Login to the ECR repo in the EC2 Instance using "View Push Command"

In the ECS service, click on "Task Definitions", and then click on "Create new Task Definition".
Set the container name to "run-flask-app", and copy and paste the Image URL from ECR where we updated the flask app image previously. Specify the port mappings for HTTP, by setting the "Container port" to 80.
Choose the Fargate launch type, Configure the task settings, such as the task memory and CPU limits, here CPU is 1vCPU and the memory is 3GB.
Monitor & logging
Now review the configuration and create the task definition.
Run the Task Definition

From the ECS container, click on Deploy and then Run Task
- Select the cluster where it should run
  - In the Deployment Configuration provide the details.