CONTAINERIZATION & CLOUD DEPLOYMENT

Docker & CI/CD Pipeline

Containerization

Consistent deployment environment with Docker for portability and scalability

# Dockerfile
FROM python:3.10-slim-buster
WORKDIR /app
COPY . /app

RUN apt update -y && apt install awscli -y
RUN apt-get update && pip install -r requirements.txt

CMD ["python3", "app.py"]

CI/CD Workflow

Automated testing & deployment with GitHub Actions

Code Push

Run Tests

Build Image

Push to ECR

Deploy to ECS

# GitHub Actions workflow excerpt
name: Build and Deploy

on:
  push:
    branches: [ "main" ]

jobs:
  build-and-deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Run tests
        run: python -m pytest
      - name: Configure AWS credentials
        uses: aws-actions/configure-aws-credentials@v1
      - name: Build and push Docker image
        uses: docker/build-push-action@v2

AWS Cloud Infrastructure

Cloud Architecture

Scalable, resilient infrastructure leveraging AWS services

Amazon EC2

Compute instances for hosting the inference API

Amazon ECR

Private container registry for Docker images

Amazon S3

Object storage for artifacts and model weights

Amazon ECS

Container orchestration for scalable deployment

Security & Monitoring

Robust security practices for protecting sensitive data and monitoring system health

Security Features

IAM role-based access control
Environment variable secrets management
HTTPS endpoint with TLS encryption
VPC-level network isolation

Monitoring & Logging

Custom logging framework
CloudWatch metrics integration
Automated alert notifications
Performance tracking dashboards

# S3 Sync Utility
class S3Sync:
    def sync_folder_to_s3(self, folder, aws_bucket_url):
        command = f"aws s3 sync {folder} {aws_bucket_url}"
        os.system(command)

Deployment Benefits

Reproducibility

Identical environments across development, testing, and production

Scalability

Elastic capacity to handle varying inference load patterns

Speed

Automated deployment reduces time-to-production from days to minutes

Cost-Efficiency

Pay-as-you-go pricing model with auto-scaling to match demand

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