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Amazon ECS (Elastic Container Service)
Overview and Key Concepts
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.
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)
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
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.
ECS vs EKS vs Fargate
• • **ECS**: Native AWS solution, easy to use
• • **EKS**: Kubernetes-based, more complex
• • **Fargate**: Serverless option for ECS and EKS
Use Cases of ECS
• • Microservices architecture
• • Batch processing with spot instances
• • Web services with load balancing
• • CI/CD integration with CodePipeline
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.
Monitoring and Scaling
• • Use Amazon CloudWatch to monitor ECS metrics
• • Auto-scaling based on CPU and memory usage
• • Health checks via Application Load Balancer
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
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.

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Designed_Amazon_ECS_Presentation ppt.pptx

  • 1. Amazon ECS (Elastic Container Service) Overview and Key Concepts
  • 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.