Ojasa Mirai

Ojasa Mirai

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Learning Level

🟢 Beginner🔵 Advanced
🔧 AWS Account Setup⚙️ AWS Compute Overview🖥️ EC2 Deployment🎯 Elastic Beanstalk⚡ Lambda Serverless📁 S3 Static Hosting🗄️ RDS Relational Database📊 DynamoDB NoSQL💾 ElastiCache Caching📊 AWS Monitoring🔑 AWS Authentication📈 AWS Scaling & Load Balancing🐳 AWS ECS Containers💰 AWS Cost Optimization
Cloud/Aws Deployment/Aws Ecs Containers

🐳 AWS ECS Containers

Introduction

Amazon ECS is a fully managed container orchestration service for Docker containers.

Key Learning Outcomes

By the end of this lesson, you'll understand:

  • Creating ECS clusters
  • Running tasks and services
  • Deploying containers
  • Task definitions
  • Service scaling
  • Container logging

Creating a Cluster

# Create cluster
aws ecs create-cluster --cluster-name my-cluster

# Launch container instance
aws ecs run-task \
  --cluster my-cluster \
  --task-definition my-app:1 \
  --count 1

Task Definition

# Register task definition
aws ecs register-task-definition \
  --family my-app \
  --container-definitions file://containers.json \
  --requires-compatibilities FARGATE \
  --network-mode awsvpc \
  --cpu 256 \
  --memory 512

containers.json:

[
  {
    "name": "my-app",
    "image": "nginx:latest",
    "memory": 512,
    "portMappings": [
      {
        "containerPort": 80,
        "hostPort": 80,
        "protocol": "tcp"
      }
    ]
  }
]

ECS Service

# Create service
aws ecs create-service \
  --cluster my-cluster \
  --service-name my-service \
  --task-definition my-app:1 \
  --desired-count 2

Key Takeaways

  • **ECS** orchestrates Docker containers
  • **Fargate** runs serverless containers
  • **Task definitions** define container specs
  • **Services** manage running tasks
  • **Scaling** adjusts container count

Next Steps

Learn about cost optimization, or explore advanced ECS patterns.


Resources

Python Docs

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