AWS re:Invent 2016: Getting Started with Docker on AWS (CMP209)
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AWS is an elastic, secure, flexible, and developer-centric ecosystem that serves as an ideal platform for Docker deployments. AWS offers the scalable infrastructure, APIs, and SDKs that integrate tightly into a development lifecycle and accentuate the benefits of the lightweight and portable containers that Docker offers to its users. This session familiarizes you with the benefits of containers, introduce Amazon EC2 Container Service, and demonstrates how to use Amazon ECS to run containerized applications at scale in production.
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AWS re:Invent 2016: Getting Started with Docker on AWS (CMP209)
- 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Getting Started with Docker on AWS Danielle Greshock, Manager, Solutions Architecture, AWS CMP209 November 29, 2016
- 2. Agenda Why Containers? Cluster Management Benefits Running Services Demo
- 4. What are Containers? OS virtualization Process isolation Images AutomationServer Guest OS Bins/Libs Bins/Libs App2App1
- 5. Container advantages Portable Flexible Fast EfficientServer Guest OS Bins/Libs Bins/Libs App2App1
- 6. Services evolve to microservices Monolithic Application Order UI User UI Shipping UI Order Service User Service Shipping Service Data Access Host 1 Service A Service B Host 2 Service B Service D Host 3 Service A Service C Host 4 Service B Service C
- 7. Containers are natural for microservices Simple to model Any app, any language Image is the version Test & deploy same artifact Stateless servers decrease change risk
- 8. Scheduling
- 9. Server Guest OS Bins/Libs Bins/Libs App2App1 Scheduling one resource is straightforward
- 10. Scheduling a cluster is hard Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS Server Guest OS
- 11. What is Amazon ECS? Amazon EC2 Container Service (ECS) is a highly scalable, high performance container management service. You can use Amazon ECS to schedule the placement of containers across your cluster. You can also integrate your own scheduler or third-party scheduler to meet business or application specific requirements.
- 13. Cluster Management: Resource Management Docker Task EC2 Instance Container Docker Task EC2 Instance Container Task Container Docker EC2 Instance Task Container AZ 1 AZ 2
- 14. Cluster Management: Scheduling Docker Task EC2 Instance Container Docker Task EC2 Instance Container Task Container Docker EC2 Instance Task Container AZ 1 AZ 2
- 15. Amazon ECS: Resource Management Docker Task Container Instance Container Task Container Docker Task Container Instance Container Task Container Docker Task Container Instance Container Task Container AZ 1 AZ 2 Cluster Management Engine
- 16. Amazon ECS: Agent Communication Docker Task Container Instance Container ECS Agent Task Container Docker Task Container Instance Container ECS Agent Task Container Docker Task Container Instance Container ECS Agent Task Container AZ 1 AZ 2 Cluster Management Engine Agent Communication Service
- 17. Amazon ECS: Key/Value Store Docker Task Container Instance Container ECS Agent ELB Internet ELB Task Container Docker Task Container Instance Container ECS Agent Task Container Docker Task Container Instance Container ECS Agent Task Container AZ 1 AZ 2 Key/Value Store Cluster Management Engine Agent Communication Service
- 18. Amazon ECS under the Hood IDN-1 IDN IDN+1 IDN+2 IDN+3 IDN+4 IDN+5 IDN+6 IDN+5 WRITE READ
- 19. Amazon ECS under the Hood IDN-1 IDN IDN+1 IDN+2 IDN+3 IDN+4 IDN+5 IDN+6IDN+3 IDN+5IDN+2 WRITE WRITE READREAD
- 20. Amazon ECS: APIs Docker Task Container Instance Container ECS Agent ELB Internet ELB User / Scheduler API Cluster Management Engine Task Container Docker Task Container Instance Container ECS Agent Task Container Docker Task Container Instance Container ECS Agent Task Container AZ 1 AZ 2 Key/Value Store Agent Communication Service
- 21. Amazon ECS: Scheduling Docker Task Container Instance Container ECS Agent ELB Internet ELB User / Scheduler API Cluster Management Engine Task Container Docker Task Container Instance Container ECS Agent Task Container Docker Task Container Instance Container ECS Agent Task Container AZ 1 AZ 2 Key/Value Store Agent Communication Service
- 22. Benefits
- 23. Easily Manage Clusters for Any Scale Nothing to run Complete state Control and monitoring Scale
- 24. Scalable
- 25. Flexible Container Placement Applications Batch jobs Multiple schedulers
- 26. Designed for use with other AWS services Elastic Load Balancing Amazon Elastic Block Store Amazon Virtual Private Cloud Amazon CloudWatch AWS Identity and Access Management AWS CloudTrail
- 27. Extensible Comprehensive APIs Custom schedulers Open source agent and CLI
- 28. Amazon ECS Docker Task Container Instance Amazon ECS Container ECS Agent ELB Internet ELB User / Scheduler API Cluster Management Engine Task Container Docker Task Container Instance Container ECS Agent Task Container Docker Task Container Instance Container ECS Agent Task Container AZ 1 AZ 2 Key/Value Store Agent Communication Service
- 29. Running Services
- 30. Task Definitions Volume Definitions Container Definitions
- 31. Key Components: Task Definitions
- 32. Key Components: Task Definitions
- 33. Tasks Shared Data Volume Containers schedule Container Instance Volume Definitions Container Definitions
- 34. Unit of work Grouping of related Containers Run on Container Instances Tasks
- 35. Create a Service Good for long-running applications and services
- 36. Create Service Load Balance traffic across containers Automatically recover unhealthy containers Discover services Elastic Load Balancing Shared Data Volume Containers Shared Data Volume Containers Shared Data Volume Containers
- 37. Scale Service Scale up Scale down Elastic Load Balancing Shared Data Volume Containers Shared Data Volume Containers Shared Data Volume Containers Shared Data Volume Containers
- 38. Scale Service
- 39. Update Service Deploy new version Drain connections new new new Elastic Load Balancing Shared Data Volume Containers old old old Shared Data Volume Containers Shared Data Volume Containers Shared Data Volume Containers Shared Data Volume Containers Shared Data Volume Containers
- 40. Update Service (cont.) Deploy new version Drain connections new new new Elastic Load Balancing Shared Data Volume Containers old old old Shared Data Volume Containers Shared Data Volume Containers Shared Data Volume Containers Shared Data Volume Containers Shared Data Volume Containers
- 41. Update Service (cont.) Deploy new version Drain connections Elastic Load Balancing Shared Data Volume Containers Shared Data Volume Containers Shared Data Volume Containers new new new
- 42. Update Service (cont.) Specify a deployment configuration for your service: • minimumHealthyPercent: lower limit (as a percentage of the service's desiredCount) of the number of running tasks that must remain running in a service during a deployment. • maximumPercent: upper limit (as a percentage of the service's desiredCount) of the number of running tasks that can be running in a service during a deployment.
- 43. Update Service (cont.) Deploy using the least space: minimumHealthyPercent = 50%, maximumPercent = 100%
- 44. Update Service (cont.) Deploy quickly without reducing service capacity: minimumHealthyPercent = 100%, maximumPercent = 200%
- 45. Demo
- 46. Thank you!
- 47. Remember to complete your evaluations!
- 48. Related Sessions CON309 - Running Microservices on Amazon ECS CON315 - Workshop: Deploy a Swift Web Application on Amazon ECS