In dieser Live Demo werden wir eine kleine monolithische Applikation in zwei Microservices aufspalten, jeweils in einen Docker-Container verpacken und dann mittels Amazon EC2 Container Service in einem Cluster deployen. Informieren Sie sich jetzt über das kostenlose Nutzungskontingent von AWS: http://amzn.to/1KVnbjV

1. Design, Deployment und Betreiben von
Microservices mit Docker und dem EC2
Container Sevice
Oliver Arafat, Enterprise Evangelist, AWS
arafato@amazon.de
@OliverArafat
Microservices Webday

2. Agenda
• What are Containers?
• EC2 Container Service
• Common Patterns
• Demo

3. What are Containers?

4. “Shipping code to the server is
hard!”
Solomon Hykes, CTO & Founder of Docker

5. Anwendungskomplexität
Java, Go,
Python,
JavaScript,
C#, C, C++,
Ruby, Perl,
PHP
.NET, LAMP,
Java EE,
Node, Rails,
Erlang
MySQL,
PostgreSQL,
CouchDB,
MongoDB,
Cassandra
Web Front
End, API
Endpoint,
Queues,
Analytics DB

6. Java, Go,
Python,
JavaScript,
C#, C, C++,
Ruby, Perl,
PHP
.NET, LAMP,
Java EE,
Node, Rails,
Erlang
MySQL,
PostgreSQL,
CouchDB,
MongoDB,
Cassandra
Web Front
End, API
Endpoint,
Queues,
Analytics DB
On
Premise
Cloud
Dev Test
ProdStaging

7. Java, Go,
Python,
JavaScript,
C#, C, C++,
Ruby, Perl,
PHP
.NET, LAMP,
Java EE,
Node, Rails,
Erlang
MySQL,
PostgreSQL,
CouchDB,
MongoDB,
Cassandra
Web Front
End, API
Endpoint,
Queues,
Analytics DB
On
Premise
Cloud
Dev Test
ProdStaging

8. How is this different from VMs?
Virtual Machines Containers

9. Container advantages
Portable

10. Container advantages
Flexible

11. Container advantages
Fast

12. Container advantages
Efficient

13. A container pipeline
Base
image
Patches
IT Operations
Utilities

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

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

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

17. Server
Bins/Libs
Guest OS
Bins/Lib
s
App2App1

19. Amazon EC2 Container Service

20. Easily manage clusters for any scale
• Eliminates cluster management software
• Manages cluster state
• Control and monitoring
• Scale from one to tens of thousands of
containers

21. Scheduling aka Flexible Container Placement
• Applications
• Batch jobs
• Multiple schedulers

22. 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
• Amazon CloudWatch

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

24. Common Patterns

25. 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.”

26. Pattern 2: Batch jobs
• Share resource pools
• Ideal for short-lived
and 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.”

27. Amazon ECS Terminology

28. Amazon EC2 instances
Docker daemon
Amazon ECS agent
Key Components: Container Instances

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

30. Key Components: Task Definitions
Volume definitions
Container definitions

31. Key Components: Task Definitions
Shared data volume
PHP app
Time of day
app

32. 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
}

33. {
"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

34. {
"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
From Docker Hub
Mount volume from other container
Command to exec

35. Key Components: Tasks
Container
Instance
Schedule
Shared data volume
PHP app
Time of day
app

36. Unit of work
Grouping of related containers
Run on container instances
Key Components: Tasks

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

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

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

40. Key components: Update a service
• (Automated) Scale up
• (Automated) Scale down
Elastic Load Balancing

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

42. Demo

43. AWS Free Tier
aws.amazon.com/free

44. Thank you!
Questions?
Oliver Arafat, Enterprise Evangelist AWS
arafato@amazon.de
@OliverArafat
Microservices Webday