🌥️ Day 038 of 100DaysOfCloud Deploying a Containerized App Using Amazon ECR & ECS (Fargate)

Hey Cloud Learners & DevOps Builders 👋

Welcome back to the #100DaysOfCloud challenge! In today’s task, the Nautilus DevOps team is moving deeper into container orchestration on AWS by deploying a containerized application using Amazon ECR and Amazon ECS with Fargate.

This task covers the complete container lifecycle:

👉 Build Docker image 👉 Store it securely in ECR 👉 Run it using ECS (serverless containers)

This is exactly how modern cloud-native applications are deployed 🔥

💡 Why ECR + ECS (Fargate)?

Instead of managing servers manually:

• ECR stores container images securely
• ECS runs containers at scale
• Fargate removes the need to manage EC2 instances

With Fargate: ✔ No servers to provision ✔ Automatic scaling ✔ Pay only for what you run ✔ Production-ready container orchestration

👉 ECR + ECS + Fargate = true serverless containers

🎯 Task Objectives

Container Registry

• Create a private ECR repository
• devops-ecr

Image Build & Push

• Dockerfile location:
• /root/pyapp
• Image tag:
• latest

ECS Setup

• ECS Cluster:
• devops-cluster
• Launch type → Fargate

Task & Service

• Task definition:
• devops-taskdefinition
• Service:
• devops-service
• Ensure at least 1 running task

🧭 Step-by-Step Guide

📦 Step 1: Create Private ECR Repository

On the aws-client host, run:

aws ecr create-repository --repository-name devops-ecr

Note the repository URI, example:

123456789012.dkr.ecr.us-east-1.amazonaws.com/devops-ecr

🔐 Step 2: Authenticate Docker to ECR

Login to ECR:

aws ecr get-login-password \
  | docker login --username AWS --password-stdin \
    <ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com

Replace <ACCOUNT_ID> with your AWS account ID.

🏗️ Step 3: Build Docker Image

Navigate to Dockerfile directory:

cd /root/pyapp

Build the image:

docker build -t devops-ecr:latest .

🏷️ Step 4: Tag Docker Image

Tag the image for ECR:

docker tag devops-ecr:latest \
<ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com/devops-ecr:latest

🚀 Step 5: Push Image to ECR

docker push <ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com/devops-ecr:latest

🎉 Image successfully pushed to ECR!

🧪 Verify Image Upload

aws ecr list-images --repository-name devops-ecr

You should see:

latest

⚙️ Step 6: Create ECS Cluster (Fargate)

Go to AWS Console → ECS → Clusters → Create cluster

• Cluster name:
• devops-cluster
• Infrastructure → AWS Fargate

Create cluster ✔

📄 Step 7: Create ECS Task Definition

Go to ECS → Task Definitions → Create

Configure:

• Launch type → Fargate
• Task definition name:
• devops-taskdefinition

Container settings:

• Image:
• <ECR-IMAGE-URI>:latest
• CPU → 256
• Memory → 512
• Port mappings → (if app exposes a port)

Create task definition ✔

🧩 Step 8: Create ECS Service

Go to ECS → Clusters → devops-cluster → Create service

Set:

• Launch type → Fargate
• Task definition → devops-taskdefinition
• Service name:
• devops-service
• Desired tasks → 1

Create service ✔

🟢 Step 9: Verify Running Task

Go to:

ECS → devops-cluster → Tasks

You should see:

✔ Task status → RUNNING ✔ Service stable

🎉 Containerized app is now running on ECS!

📝 Key Takeaways

• ECR stores private Docker images securely
• ECS runs containers at scale
• Fargate removes server management
• Task definitions define what to run
• Services ensure how many to run

This is production-grade container orchestration 💪

🚫 Common Mistakes to Avoid

❌ Forgetting to login to ECR ❌ Using wrong image URI ❌ Insufficient CPU/memory values ❌ Not creating a service (task stops) ❌ Mixing EC2 and Fargate launch types

🌟 Conclusion + Call to Action

This was a huge milestone in your cloud journey 🚀

You didn’t just run a container…

👉 you built it 👉 stored it securely 👉 orchestrated it 👉 deployed it serverlessly

That’s real-world DevOps with containers 🔥

If this guide helped you:

🔗 Connect with me on LinkedIn 👉 https://www.linkedin.com/in/hritik-raj-8804hr/

⭐ Star my #100DaysOfCloud GitHub repo 👉 https://github.com/Hritikraj8804/KodeKloud_Engineer/tree/main/100daysofcloud

See you on the next day of #100DaysOfCloud ☁️🚀