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Model Deployment Strategies: Local, Docker, Kubernetes (K8s), and AWS

1. Running a Flask Application Locally

Deploy ML models using Flask by executing the application with the command:

python app.py

This process involves using an HTML form and a pickle file to run predictions and display outputs.

2. Deployment Using Docker

To containerize your application with Docker, follow these steps:

• Build the Docker image:

docker build -t my-app .

• Run the Docker container:

docker run -p 5000:5000 my-app

Access the app at http://localhost:5000/.

3. Deployment Using Kubernetes (K8s)

Deploy your app on Kubernetes with the following commands:

• Start Minikube:

minikube start

• Build the image within Minikube:

minikube image build -t my-app .

• Deploy the application:

cd kubernetes
kubectl apply -f deployment.yaml
kubectl apply -f service.yaml

Check the deployment and service:

kubectl get pods
kubectl get svc

Launch the app in a browser:

minikube service my-service

4. Deployment on AWS ECS

For AWS ECS deployment, prepare your Docker image and push it to AWS ECR:

• Build the image (for M1 chip, use --platform=linux/amd64):

docker build -t my-app --platform=linux/amd64 .

• Authenticate with AWS ECR:

aws ecr get-login-password --region ca-central-1 | docker login --username AWS --password-stdin <account_id>.dkr.ecr.ca-central-1.amazonaws.com

• Tag and push the Docker image:

docker tag my-app:latest <account_id>.dkr.ecr.ca-central-1.amazonaws.com/my-repo:latest

• Push the image to AWS ECR:

docker push <account_id>.dkr.ecr.ca-central-1.amazonaws.com/my-repo:latest

In AWS ECS, create a cluster and an instance with a network. Then create a task definition where you define the container specifications and provide the URL for the image. For Flask apps, use port 5000.

Define a service in ECS to access the container and ensure the EC2 instance allows inbound and outbound traffic.

Cleanup:

• Delete the Kubernetes deployment:

kubectl delete service my-service
kubectl delete deployment model-deployment

• Stop Minikube:

minikube stop