Amazon EC2 Container Service (Amazon ECS) is a new AWS service that makes it easy to run and manage Docker-enabled applications across a cluster of Amazon EC2 instances. Amazon ECS lets you define, schedule, and stop sets of containers. You have access to the state of your resources, making it easy to confirm that tasks are running or view the utilization of EC2 instances in your cluster. This session will describe the benefits of containers, introduce ECS, and demonstrate how to use ECS for your applications.

1. ©2015, Amazon Web Services, Inc. or its affiliates. All rights reserved
Amazon EC2 Container Service: Manage
Docker-Enabled Apps in Amazon EC2
Brandon Chavis
Solutions Architect

2. Agenda
• Containers
• Amazon EC2 Container Service
• Common patterns
• Demo
• Q&A

3. Containers

4. What are containers?
• OS virtualization
• Process isolation
• Images
• AutomationServer
Guest OS
Bins/Libs Bins/Libs
App2App1

5. Container advantages
Portable
Server
Guest OS
Bins/Libs Bins/Libs
App2App1

6. Container advantages
Flexible
Server
Guest OS
Bins/Libs Bins/Libs
App2App1

7. Container advantages
Fast
Server
Guest OS
Bins/Libs Bins/Libs
App2App1

8. Container advantages
Efficient
Server
Guest OS
Bins/Libs Bins/Libs
App2App1

9. A container pipeline
Base
image
Patches
IT Operations
Utilities

10. A container pipeline
Base
image
Patches
IT Operations
Ruby
Redis
Logger
Utilities

11. A container pipeline
Base
image
Patches
IT Operations Developer
Ruby
Redis
Logger
Utilities
App

12. A container pipeline
Base
image
Patches
IT Operations Developer
Ruby
Redis
Logger
Utilities
App

13. Demo

14. Server
Guest OS
Bins/Libs Bins/Libs
App2App1

16. Amazon ECS Benefits

17. Easily manage clusters for any scale
• Nothing to run
• Complete state
• Control and monitoring
• Scale

18. Flexible container placement
• Applications
• Batch jobs
• Multiple schedulers

19. Designed for use with other AWS services
• Elastic Load Balancing
• Amazon Elastic Block Store
• Amazon Virtual Private
Cloud
• AWS Identity and Access
Management (IAM)
• AWS CloudTrail

20. Extensible
• Comprehensive APIs
• Open source agent
• Custom schedulers

21. Common Patterns

22. Pattern 1: Services and applications
• Simple to model
• Micro services
• Blue/green
deployments
Phong Nguyen, Founder at Gilt
Groupe, said, "As we Dockerize
all our services, it is very
important for us to have a
platform that can help us speed
up deployments, automate our
services, and gain greater
efficiencies. The new service
scheduler and ELB integration
make Amazon ECS an excellent
platform for our services.”

23. Pattern 2: Batch jobs
• Share resource pools
• Ideal for bursty jobs
• Spot instances
“We required a solution on which
we could securely and efficiently
deploy Docker containers to
encapsulate learner
programming assignment
submissions,” said Brennan
Saeta, Architect at Coursera. “We
are using Amazon EC2 Container
Service to power our new
programming assignments
infrastructure for next-generation
On-Demand course platform.”

24. Amazon ECS Terminology

25. Amazon EC2 instances
Docker daemon
Amazon ECS agent
Key components: container instances

26. Regional
Resource pool
Grouping of container instances
Start empty, dynamically scalable
Key Components: Clusters

27. Key components: task definitions
Volume definitions
Container definitions

28. Key components: task definitions
Shared data volume
PHP app
Time of day
app

29. Key components: task definitions
{
"environment": [],
"name": "simple-demo",
"image": "my-demo",
"cpu": 10,
"memory": 500,
"portMappings": [
{
"containerPort": 80,
"hostPort": 80
}
],
"mountPoints": [
{
"sourceVolume": "my-vol",
"containerPath": "/var/www/my-
vol"
}
],
"entryPoint": [
"/usr/sbin/apache2",
"-D",
"FOREGROUND"
],
"essential": true
},
{
"name": "busybox",
"image": "busybox",
"cpu": 10,
"memory": 500,
"volumesFrom": [
{
"sourceContainer": "simple-demo"
}
],
"entryPoint": [
"sh",
"-c"
],
"command": [
"/bin/sh -c "while true; do
/bin/date > /var/www/my-vol/date; sleep 1; done""
],
"essential": false
}

30. {
"environment": [],
"name": "simple-demo",
"image": “amazon/amazon-ecs-sample",
"cpu": 10,
"memory": 500,
"portMappings": [
{
"containerPort": 80,
"hostPort": 80
}
],
"mountPoints": [
{
"sourceVolume": "my-vol",
"containerPath": "/var/www/my-
vol"
}
],
"entryPoint": [
"/usr/sbin/apache2",
"-D",
"FOREGROUND"
],
"essential": true
},
Key components: task definitions
[
{
"image": "mysql",
"name": "db",
"cpu": 10,
"memory": 500,
"essential": true,
"entryPoint": [
"/entrypoint.sh"
],
"environment": [
{
"name": "MYSQL_ROOT_PASSWORD",
"value": "pass"
}
],
"portMappings": []
}
]
Essential to our task
Create and mount volumes
Expose port 80 in container
to port 80 on host
10 CPU Units (1024 is full CPU),
500 megabytes of memory

31. {
"name": "busybox",
"image": "busybox",
"cpu": 10,
"memory": 500,
"volumesFrom": [
{
"sourceContainer": "simple-demo"
}
],
"entryPoint": [
"sh",
"-c"
],
"command": [
"/bin/sh -c "while true; do
/bin/date > /var/www/my-vol/date; sleep 1; done""
],
"essential": false
}
Key components: task definitions
[
{
"image": "tutum/wordpress-stackable",
"name": "wordpress",
"cpu": 10,
"memory": 500,
"essential": true,
"links": [
"db"
],
"entryPoint": [
"/bin/sh",
"-c"
],
"environment": [
…
],
"portMappings": [
{
"containerPort": 80,
"hostPort": 80
}
]
},
]
From Docker Hub
Mount volume from other container
Command to exec

32. Key components: tasks
Container
Instance
Schedule
Shared data volume
PHP app
Time of day
app

33. Unit of work
Grouping of related containers
Run on container instances
Key Components: tasks

34. Key Components: Run a task
Good for short-lived
containers, e.g.
batch jobs

35. Key components: Create a service
Good for long-
running applications
and services

36. Key components: Create a service
• Load balance traffic across containers
• Automatically recover unhealthy containers
• Discover services
Elastic Load Balancing

37. Key components: Update a service
• Scale up
• Scale down
Elastic Load Balancing

38. Key components: Update a service
• Deploy a new version
• Drain connections
Elastic Load Balancing

39. Key components: Update a service
• Deploy a new version
• Drain connections
Elastic Load Balancing

40. Key components: Update a service
• Deploy a new version
• Drain connections
Elastic Load Balancing

41. Typical user workflow
I want to run a service.

42. Typical user workflow
Run Instances
Amazon EC2
Use custom AMI with
Docker support and
ECS agent.
Instances register
with default cluster.

43. Typical user workflow
Create Task Definition
Declare resource
requirements for
containers

44. Typical user workflow
Create Service
Declare resource
requirements for
service
X 5
Elastic Load Balancing

45. Typical user workflow
Describe Service

46. Demo

47. Q&A

48. Your Feedback is Important to AWS
Please complete the session evaluation. Tell us what you think!

49. NEW YORK