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© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Asif Khan, Solutions Architect
4/26/2017
From Monolith to Microservices
Containerized Microservices on AWS
What to Expect from the Session
• Microservices Architecture
• Amazon ECS
• Task Placement
• The Twelve-Factor App with Amazon ECS
Microservices Architecture
What are microservices?
“A software architecture style in which complex
applications are composed of small, independent
processes communicating with each other using
language-agnostic APIs. These services are small, highly
decoupled and focus on doing a small task, facilitating a
modular approach to system-building.” - Wikipedia
https://en.wikipedia.org/wiki/Microservices
Monolithic vs. Microservices
webserver
.package
Order UI
Order Service
Inventory
Service
Shipping
Service
OrderUI
Inventory
Service
Order
Service
Shipping
Service
Characteristics of Microservice Architectures
Do one
thing wellIndependent
Decentralized
Black box
Polyglot
You build it, you run it
Why Amazon ECS
• Fully managed elastic service – You don’t
need to run anything, and the service
scales as your microservices architecture
grows
• Shared state optimistic scheduling
• Integration with CloudWatch service for
monitoring and logging
• Integration with Code* services for
continuous integration and delivery (CI/CD)
Deploying Containers on ECS – Choose a Scheduler
Batch Jobs
ECS task scheduler
Run tasks once
Batch jobs
RunTask (random)
StartTask (placed)
Long-Running Apps
ECS service scheduler
Health management
Scale-up and scale-down
AZ aware
Grouped containers
WatchBot
ECS Cluster
SQS
Watcher
Container
Running
Tasks
14
Data Processing
Services
3500
Peak Container
Instances
500 million
Compute Hours
Used in 2016
Instacart’s PaaS
Coordinated through RDS database
Same tooling local & cloud
Jobs take desired state from DB, and turn
it into cloud reality
• Media Encoding Experimentation
• Digital Watermarking
Netflix
Amazon ECS: Under the Hood
ALB ALB
AZ 1 AZ 2
user / scheduler
Scheduler
Cluster State Service
Placement Engine
Event Stream
Task Placement Examples
g2.2xlarge t2.small t2.micro t2.medium
t2.medium t2.small g2.2xlarge
t2.small
t2.small t2.medium
us-east-1aus-east-1d
Placement: Targeting Instance Type & Zone
g2.2xlarge t2.small t2.micro t2.medium
t2.medium t2.small g2.2xlarge t2.small
us-east-1aus-east-1d
g2.2xlarge t2.medium
t2.micro t2.small
us-east-1c
Placement: Spread across Zone and Binpack
g2.2xlarge t2.small t2.micro t2.medium
t2.medium t2.small g2.2xlarge t2.small
us-east-1aus-east-1d
g2.2xlarge t2.medium
t2.micro t2.small
us-east-1c
Placement: Affinity and Anti-Affinity
Running a Service
t2.medium t2.small t2.small
us-east-1aus-east-1d
t2.medium t2.micro t2.small
us-east-1c
Placement: Multiple Services on a Cluster
t2.medium g2.2xlarge t2.micro t2.small
t2.small t2.small g2.2xlarge t2.small
t2.small t2.small
g2.2xlarge t2.small
Placement: Services – Distinct Instances
The Twelve-Factor App with
Amazon ECS
Reference Architectures
The Twelve-Factor App
1. Codebase
2. Dependencies
3. Config
4. Backing Services
5. Build, Release Run
6. Processes
7. Port Binding
8. Concurrency
9. Disposability
10. Dev/Prod parity
11. Logs
12. Admin Processes
https://12factor.net/
Reference Architectures
Example Microservice Architecture on ECS
Amazon
ECR
Amazon
RDS
Application Load
Balancer
ECS Cluster
ECS Cluster
IAM
Amazon API
Gateway*
Amazon
Route 53
Amazon CloudWatch
Automatic Service Scaling
Publish metrics
Auto Scaling ECS service
Availability
Zone A
Availability
Zone B
TASK A
Add/Remove ECS
tasks
TASK C
TASK BScaling Policies
Amazon
CloudWatch
Amazon ECS
Application
Load Balancer
IAM Roles For Tasks
ECS Cluster
EC2 Instance EC2 Instance
TASK A
TASK B
TASK B
Amazon
DynamoDB
Amazon
S3
Continuous Deployment
AWS
CodeCommit AWS
CodePipeline
AWS
CodeBuild
Amazon
ECR
Amazon
ECS
instance
Spot
Instance
AWS
CloudFormati
on
1. Commit
Code
2. Trigger
Pipeline
3.Build
Artifact
5.Update
Stack
6. Update Service
4. Push Image
Blue-Green Deployments
TaskTask
Route 53
record set
with
weighted
routing
policy
0%
100%
Secrets Management
•prod.app1.db-pass
•general.license-code
•prod.app2.user-name
ECS Cluster
EC2 Instance EC2 Instance
TASK A
TASK B
TASK B
EC2 System Manager –
Parameter Store
Service Discovery with Route 53 and Application
Load Balancers
Application Load
Balancer
i-aaa i-bbb i-ccc
i-aaa i-bbb i-ccc
oAuth Target Group
8080 8081
Portal Target Group
Weather Target Group
8000 8001 8002
8080
Amazon
Route 53
ECS Cluster
mydomain.com
mydomain.com mydomain.com/weather
mydomain.com/auth
Consuming Events for Service Discovery
app1-tst  10.1.0.11
db1-tst  10.1.0.14
app2  10.1.0.16
db2  10.1.0.18
my-app  10.1.0.20
websrv1 10.1.0.1
websrv2 10.1.0.2
websrv3 10.1.0.4
app-dev1 10.1.0.9
app-dev2 10.1.0.5
app-dev3 10.1.0.8
db-dev 10.1.0.19
Governance: AWS Service Catalog
Organizations Developers
Control
Standardization
Governance
Agility
Self-service
Time to market
Creates portfolio
Adds constraints and grant access
1
4
5
Administrator
Portfolio
Users
Browse Products
6Launch Products
Creates
product3Authors template2
Product
X
Product
Y
Product
Z
7
Deploys
stacks
Notifications
Notifications
8
8
Governance: AWS Service Catalog
Build Learn
Try It out
Deploy
Thank you!

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