Pahud Hsieh, a Solutions Architect at Amazon Web Services, presented on comparing container options for microservices on AWS. The document discussed microservices and containers, running containers on AWS using managed services like ECS and EKS, deployment pipelines using Kubernetes, and monitoring microservices using AWS X-Ray. It also covered deploying microservices using serverless technologies like AWS Lambda.

1. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Pahud Hsieh(謝洪恩)
Solutions Architect, Amazon Web Services
Comparing Container Options For
Microservices On AWS

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3. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Webapp
Greeting Name
Client
A Typical Application With Microservices
Greeting
Greeting
Name
Name
Webapp
Webapp

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Microservices And Containers
• Do one thing, really well
• Any app, any language
• Test and deploy same artifact
• Self-contained services
• Isolated execution environment
• Faster startup
• Scaling and upgrading

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EC2 Instance EC2 InstanceEC2 InstanceEC2 InstanceEC2 Instance
Running Containers

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Scheduling and Orchestration
Cluster Manager Placement Engine
Running Containers At Scale
Availability Zone #1 Availability Zone #2 Availability Zone #3

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Running Containers On AWS
Using Managed Services

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Running Containers With ECS

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Deploying Microservices
Using
AWS Fargate

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ECS Instance ECS Instance ECS Instance ECS InstanceECS Instance ECS Instance
EC2
FARGATE
Notifications
Amazon ECS CLUSTER
Availability Zone #1 Availability Zone #2 Availability Zone #3
Subnet 2
172.31.2.0/24
Subnet 1
172.31.1.0/24
Subnet 3
172.31.3.0/24
Web
Shopping
Cart

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EKS Core Tenets
• Platform to run production-grade workloads
• Native and upstream Kubernetes experience
• Seamless integration with EKS services
• EKS team actively contributes upstream

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mycluster.eks.amazonaws.com
Availability
Zone 1
Availability
Zone 2
Availability
Zone 3
Kubectl

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Application Deployment Using Helm On Kubernetes
• Templating and packaging
tool for k8s apps
• Chart: Bundle to represent
k8s apps
• Analogous to apt, yum,
homebrew for k8s
Mychart
|-- Chart.yaml
|-- charts
|-- templates
| |-- NOTES.txt
| |-- _helpers.tpl
| |-- deployment.yaml
| |-- ingress.yaml
| `-- service.yaml
`-- values.yaml

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Deployment Pipeline
For
Microservices Using Kubernetes

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AWS CodePipeline – CI/CD with Kubernetes
AWS CodePipeline
AWS CodeCommit AWS CodeBuild AWS Lambda
Amazon ECR
1 2 4
3 5
6
1
Developers continuously integrate
changes into a main branch hosted
within a repo
2
Triggers an execution of the pipeline
when a new version is found, builds
a new image with build ID
3
Pushes the newly built image
tagged with build ID to ECR repo
4
Invokes a Lambda function to
trigger application deployment
5
Leverages Kubernetes Python SDK
to update a deployment
6
Fetches new container image
and performs a rolling update
of deployment
Developer

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Spectrum Of Serverless At AWS
AWS
Lambda
Amazon
Kinesis
Amazon
S3
Amazon API
Gateway
Amazon
SQS
Amazon
DynamoDB
AWS IoT
Amazon
EMR
Amazon
ElastiCache
Amazon
RDS
Amazon
Redshift
Amazon ES
Managed Serverless
Amazon EC2
Microsoft SQL
Server
“On EC2”
Amazon
Cognito
Amazon
CloudWatch

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Serverless Application Model
• CloudFormation extension optimised for Serverless
• New serverless resource types: functions, API and tables
• Supports anything CloudFormation supports
• Open specification (Apache 2.0)
• https://github.com/awslabs/serverless-application-model

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Deployment Using AWS Lambda
/webapp
/greeting
/names/1
webapp
name
greeting

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Microservices Deployment
Using
Serverless Application Model

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X-Ray Service

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Monitoring Microservices
Using
AWS X-ray

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github.com/
aws-sample/
aws-microservices-deploy-options

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