Fullstack Flask: Deploying Microservices on AWS ECS

Deploying microservices to the cloud is a critical step in modern application development, and Amazon Web Services (AWS) provides a robust set of tools to manage this process. One of the most powerful services for containerized applications is Amazon Elastic Container Service (ECS). Combined with Flask, a lightweight Python web framework, ECS enables you to deploy, scale, and manage microservices efficiently. This blog explains how to deploy Fullstack Flask-based microservices on AWS ECS using Docker containers.


Why Use AWS ECS for Flask Microservices?

AWS ECS is a fully managed container orchestration service that makes it easy to run Docker containers in the cloud. It integrates seamlessly with other AWS services such as IAM, CloudWatch, Elastic Load Balancing (ELB), and Amazon RDS, making it ideal for deploying scalable and secure microservices.

Benefits of using ECS:

Managed orchestration of Docker containers

High scalability and availability

Seamless AWS integrations

Task definitions and service discovery

Supports Fargate for serverless container hosting


Step 1: Containerize Your Flask Microservice

Start by creating a simple Flask microservice and containerizing it using Docker.

python


# app.py

from flask import Flask

app = Flask(__name__)


@app.route('/')

def hello():

    return "Hello from Flask Microservice on ECS!"

Create a Dockerfile:


Dockerfile


FROM python:3.9

WORKDIR /app

COPY . .

RUN pip install flask

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

Build and tag your image:


bash


docker build -t flask-microservice .


Step 2: Push to Amazon Elastic Container Registry (ECR)

Create a repository in Amazon ECR.

Authenticate Docker to ECR.

Tag your image to match the repository.

Push the image.


bash


aws ecr get-login-password | docker login --username AWS --password-stdin <aws_account_id>.dkr.ecr.<region>.amazonaws.com

docker tag flask-microservice <aws_repo_url>:latest

docker push <aws_repo_url>:latest


Step 3: Set Up ECS Cluster

You can use either EC2 launch type or AWS Fargate (serverless). Fargate is recommended for easier management.

Go to ECS in AWS Console.

Create a new cluster (Fargate or EC2).

Create a task definition that uses your ECR image.

Define container settings (memory, CPU, port mappings, environment variables).


Step 4: Create and Configure the ECS Service

Use your task definition to launch a service in your ECS cluster.

Attach a load balancer (ALB) to handle traffic across multiple instances.

Configure auto-scaling if needed.


Step 5: Access and Monitor Your Microservice

Once deployed, ECS assigns a public IP or domain through the ALB. You can access your Flask microservice via that endpoint.

Use Amazon CloudWatch for logging and monitoring the performance of your microservices.


Tips for Production

Use environment variables for configuration (AWS Secrets Manager or SSM).

Enable health checks in your task definitions.

Secure your service with IAM roles and VPC settings.

Use ALB path-based routing for multiple microservices.


Conclusion

Deploying Fullstack Flask microservices on AWS ECS provides a powerful, scalable, and production-ready environment. With Docker and ECS, you can simplify infrastructure management, achieve high availability, and seamlessly integrate with the broader AWS ecosystem. Whether you're deploying a single service or managing a large set of microservices, AWS ECS gives you the tools to succeed in the cloud.

Learn FullStack Python Training

Read More : Flask and RabbitMQ: Building Message Queue-Based Microservices

Read More : Fullstack Python Microservices: Using Kafka for Event-Driven Architecture

Read More : Flask Microservices: Best Practices for Fault Tolerance and Retry Logic

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