2. What is Amazon ECS?
• Amazon ECS is a fully managed container orchestration service.
• It helps in running, managing, and scaling containerized applications
without the need to manage infrastructure.
3. Key Concepts of ECS
• • **Cluster**: Logical grouping of resources
• • **Task Definition**: Blueprint for running containers
• • **Task**: Instance of a task definition
• • **Service**: Manages and scales tasks
• • **Launch Types**: Fargate (serverless) vs EC2 (managed)
4. How ECS Works
• 1. Build Docker Images
• 2. Define Task Definition
• 3. Launch Tasks or Services
• 4. Monitor with CloudWatch
• 5. Use Load Balancers for Traffic Distribution
5. Launch Types: Fargate vs EC2
• • **Fargate**: Serverless, AWS manages infrastructure
• • **EC2**: User manages EC2 instances for more control
• Use Fargate for dynamic workloads; EC2 for fine-tuned control.
6. ECS vs EKS vs Fargate
• • **ECS**: Native AWS solution, easy to use
• • **EKS**: Kubernetes-based, more complex
• • **Fargate**: Serverless option for ECS and EKS
7. Use Cases of ECS
• • Microservices architecture
• • Batch processing with spot instances
• • Web services with load balancing
• • CI/CD integration with CodePipeline
8. Pricing Model
• • **EC2 Launch Type**: Pay for underlying EC2 instances
• • **Fargate Launch Type**: Pay per vCPU and memory usage
• Optimize cost by mixing launch types based on needs.
9. Monitoring and Scaling
• • Use Amazon CloudWatch to monitor ECS metrics
• • Auto-scaling based on CPU and memory usage
• • Health checks via Application Load Balancer
10. Hands-on Example (Overview)
• 1. Push Docker image to Amazon ECR
• 2. Define task with ECS Task Definition
• 3. Launch service with Fargate or EC2
• 4. Monitor and scale as needed
11. Conclusion
• Amazon ECS simplifies container orchestration by offering fully managed
solutions. Choose between Fargate or EC2 based on control needs, and
leverage ECS for scalable, efficient containerized applications.