Join this workshop to get hands-on experience deploying Docker containers as you break an aging monolithic application into containerized microservices. Using Amazon ECS and the Application Load Balancer, you will create API-based microservices and deploy them leveraging integrations with other AWS services.

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Interstella GTC
Workshop: Using Docker and Amazon ECS

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A quick recap…

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DOCKER IMAGE
Read-only template
Used to launch container
Start with base image, additional
data/dependencies are layers added on
top
Union file system merges layers into single
image
Instructions stored in Dockerfile
bootfs
kernel
Base Image
Image
Image
W
ritable
Container
N
ode.js
N
ginx
U
buntu
References
parent
image

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DOCKERFILE
FROM dockerfile/ubuntu
RUN
add-apt-repository -y ppa:nginx/stable &&
apt-get update &&
apt-get install -y nginx &&
rm -rf /var/lib/apt/lists/* &&
echo "ndaemon off;" >> /etc/nginx/nginx.conf &&
chown -R www-data:www-data /var/lib/nginx
VOLUME ["/etc/nginx/sites-enabled", "/etc/nginx/certs",
"/etc/nginx/conf.d", "/var/log/nginx", "/var/www/html"]
WORKDIR /etc/nginx
CMD ["nginx"]
EXPOSE 80
EXPOSE 443
Source: https://github.com/dockerfile/nginx
Pull base image
Install Nginx
Define mountable directories
Define working directory
Define default command
Expose ports

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DOCKER IMAGE REGISTRY
Images stored in a registry
Amazon EC2 Container Registry (Amazon ECR)
• Fully managed
• Secure—encryption at rest, IAM integration
• Scalable and highly available
• Integrated with Amazon ECS and Docker CLI
Docker Hub
• Public repository of images
• Provides private image storage
Amazon ECR
Docker Hub

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DOCKER ARCHITECTURE
Docker daemon manages images, containers,
networks, and volumes
Docker client (for example, CLI) communicates with
daemon through a REST API
Sample commands:
• docker build – build image from Dockerfile
• docker images – list images on Docker host
• docker run – run an image
• docker ps – list running containers
• docker stop – stop a running container
docker daemon
Docker Host
Container 1
Container 2
Container n
Ubuntu Image
Nginx Image
Custom Image

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WELCOME TO INTERSTELLA GTC
Interstella GTC is an intergalactic trading company that
was established to import and export rare resources in
the universe.
Interstella was a thriving company but business has been
declining despite a booming economy.
You and a few other consultants have been brought on
board to turn this around. Will you be able to restore
Interstella to its former glory?

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YOUR MISSION
Interstella 8888 operates a logistics platform to control the processing centers of the four rare resources—tiberium,
vespene gas, spice melange, and dilithium crystals. We need help deploying the platform to the AWS cloud and would
like to adopt containers as a part of the move.
Workshop #1 – Running Containers with Amazon ECS
Lab 1: Containerize the Interstella logistics software
Lab 2: Deploy containers using Amazon ECR and Amazon ECS
Bonus Lab #1: Scale the logistics platform with an ALB
Workshop #2 – Monolith to Microservices
Now that you’ve bought us some more time, it’s time to build and deploy microservices:
Lab 1: Deploy a monolith using Amazon ECS (you can skip if you completed workshop #1)
Lab 2: Incrementally build and deploy each microservice
Bonus Lab #2: Scale microservices with an ALB
Workshop #3 – CICD for Containers on AWS
Workshop #4 – Advanced Microservice Operations

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WORKSHOP ENVIRONMENT
Public subnet – AZ #1 Public subnet – AZ #2
Amazon SNS
EC2 Instance
ECS Cluster
EC2 Instance
Amazon
ECR
Amazon API
Gateway
ORDER
Amazon S3
bucket
Amazon
DynamoDB
Amazon
ECS
Orders come into
the logistics
platform as HTTP
POST messages via
Amazon Simple
Notification Service
(Amazon SNS)
Amazon S3 hosts
web content and
utilities—API key
generator, order
subscription, order
dashboard
The logistics platform
communicates with an
order fulfillment API
running on Amazon
API Gateway. Order
data is stored in
Amazon DynamoDB.
Amazon
CloudWatch

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LAB 1 – Containerize the application
Public subnet – AZ #1 Public subnet – AZ #2
Amazon SNS
EC2 Instance
ECS Cluster
EC2 Instance
Amazon API
Gateway
ORDER
Amazon S3
bucket
Amazon
DynamoDB
1. Construct a
Dockerfile to build a
Docker image for the
logistics platform
2. Run the container
using the Docker
client to confirm it’s
working as expected
3. Push the Docker
image up to Amazon
ECR
FULFILL
Amazon
CloudWatch
Amazon
ECR
Amazon
ECS

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LAB 2 – Deploy the Application
Public subnet – AZ #1 Public subnet – AZ #2
Amazon SNS
EC2 Instance
ECS Cluster
EC2 Instance
Amazon
ECR
Amazon API
Gateway
ORDER
Amazon S3
bucket
Amazon
DynamoDB
Amazon
ECS
1. Construct an ECS task
definition referencing
the Docker image
pushed up to ECR
from lab 1 and
configuring logging
to Amazon
CloudWatch Logs
2. Run the task and
confirm orders are
being processed
FULFILL
Amazon
CloudWatch
LOGS

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BONUS LAB #1 – Setup the ALB
Public subnet – AZ #1 Public subnet – AZ #2
Amazon SNS
EC2 Instance
ECS Cluster
EC2 Instance
Amazon
ECR
Amazon API
Gateway
ORDER
Amazon S3
bucket
Amazon
DynamoDB
Amazon
ECS
1. Create an Application
Load Balancer (ALB)
2. Create an ECS service
that ties in the ALB
for routing orders to
tasks and maintains a
desired task count
FULFILL
Amazon
CloudWatch
LOGS
Application
Load Balancer

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LAB 4 – Deploy Microservices
Public subnet – AZ #1 Public subnet – AZ #2
Amazon SNS
EC2 Instance
ECS Cluster
EC2 Instance
Amazon
ECR
Amazon API
Gateway
ORDER
Amazon S3
bucket
Amazon
DynamoDB
Amazon
ECS
1. Build a Docker image for
a resource microservice
and store in ECR
2. Create an an ECS task
definition to deploy the
microservice image
3. Deploy the microservice
image using ECS to start
processing orders for that
resource
4. Modify the monolith code
to remove functionality
of the microservice;
rebuild
the monolith image and
re-deploy
M
FULFILL
Amazon
CloudWatch
m
FULFILL

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BONUS LAB #2 – Setup the ALB
Public subnet – AZ #1 Public subnet – AZ #2
Amazon SNS
EC2 Instance
ECS Cluster
EC2 Instance
Amazon
ECR
Amazon API
Gateway
ORDER
Amazon S3
bucket
Amazon
DynamoDB
Amazon
ECS
1. Create an Application
Load Balancer (ALB)
2. Create an ECS service
that ties in the ALB
for routing orders to
monolith and resource
microservices; ALB
will use path-based
routing to route to
each microservice
target group
3. Repeat until all
microservices are
deployed
M
FULFILL
Amazon
CloudWatch Application
Load Balancer
m
FULFILL
/vespene
/melange
m

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LOGISTICS
Instructions:
http://interstella.trade/
Orders topic:
arn:aws:sns:us-west-2:270206935686:monolith
Raise your hand if you have any questions. High-five your neighbors and
have fun!
Please fill out feedback forms once you are done! Feel free to email us
with comments/questions/feedback: aws-interstella-team@amazon.com

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In Summary

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Thank you!