Join this workshop for a crash course in serverless DevOps! This workshops presents a scenario in which you help out Wild Rydes (www.wildrydes.com), the world’s leading unicorn transportation startup! After building the first iteration of its serverless web application, Wild Rydes needs serverless DevOps experts like yourself to help it rapidly build and iterate upon its web app. In this workshop, you’ll help Wild Rydes set up a CI/CD pipeline that enables the company to rapidly build, test, and deploy changes to its serverless application. You’ll also learn to monitor and diagnose issues for its application. This workshop will teach you how to model and deploy serverless apps with the AWS Serverless Application Model. You’ll learn to use AWS CodePipeline and AWS CodeBuild to create a CI/CD pipeline for AWS Lambda and other services. Finally, you’ll learn to use AWS X-Ray to diagnose issues in your Lambda functions. Requirements: Laptop, AWS account, basic Git experience. Recommended: Previous experience with the AWS Management Console and AWS CloudFormation templates, some familiarity with the AWS Developer Tools services, and preferably one of the AWS Associate certifications.

1. AWS re:Invent
Serverless DevOps to the Rescue
S a m D e n g l e r
A W S S o l u t i o n s A r c h i t e c t
N o v e m b e r 2 9 , 2 0 1 7

2. Agenda
• DevOps overview
• AWS Code Services
• Serverless overview
• AWS serverless services
• Workshop overview
• Get started!

3. DevOps overview

4. Software moves
faster today

5. Why does DevOps matter?
30xMore frequent
deployments
200xShorter lead times
60xFewer failures
168xFaster recovery

6. Development transformation at Amazon: 2001–2009
2001 2009
Monolithic architecture and
hierarchical organization
Decoupled services and
two pizza teams

7. In 2009, we ran a
study to find out
where
inefficiencies
might still exist

8. We were just waiting
WaitWrite
code WaitBuild
code WaitDeploy
to test
Deploy
to prod
Weeks
Mins Days Mins Days Mins Days Mins

9. We were just waiting
WaitWrite
code WaitBuild
code WaitDeploy
to test
Deploy
to prod
Weeks
Mins Days Mins Days Mins Days Mins

10. Deployment pipelines
Automated actions and transitions;
from check-in to production
Development benefits:
• Faster
• Safer
• Simplification and
standardization

11. This has continued to work out really well
In 2014:
• Thousands of service teams across Amazon
• Building microservices
• Practicing continuous delivery
• Many environments (staging, beta, production)
50 million deployments a year

12. Where do you
?

13. AWS Code Services

14. AWS Code Services
AWS CodePipeline AWS CodeBuildAWS CodeCommit AWS SAM

15. AWS Code Services
Source Build Test Production
Third-party
tooling
Software release steps:
AWS CodeCommit AWS CodeBuild
AWS CodePipeline
AWS SAM

16. AWS CodeStar
Start developing on AWS in minutes
Work across your team, securely
Manage software delivery easily
Choose from a variety of project templates
Quickly develop, build, and deploy applications on AWS

17. AWS CodeStar

18. Serverless overview

19. Owning servers means dealing with ...
Operations and management Scaling
Provisioning and utilization Availability and fault
tolerance

20. Benefits of Lambda and serverless compute
No servers to provision
or manage
Scales with usage
Never pay for idle Availability and fault
tolerance built in

21. Using AWS Lambda
Bring your own code
• Node.js, Java, Python, C#
• Bring your own libraries
(even native ones)
Flexible use
• Synchronous or
asynchronous
• Integrated with other
AWS services
Flexible authorization
• Securely grant access to
resources and VPCs
• Fine-grained control for
invoking your functions
Simple resource model
• Select power rating from
128 MB to 1.5 GB
• CPU and network
allocated proportionately

22. AWS serverless services

23. Services for building serverless applications
AWS SAM
AWS Lambda
Amazon DynamoDB
Amazon API Gateway
Amazon SQS
Serverless compute and API proxy
AWS X-Ray
AWS step functions
Database, state management, and queues
Developer tools

24. AWS Serverless Application Model (AWS SAM)
AWS CloudFormation brings:
• Infrastructure as code
• Easy to provision and manage a collection of related AWS resources
• Input .yaml file and output provisioned AWS resources
• Optimized for infrastructure
AWS SAM:
• CloudFormation extension optimized for serverless
• New serverless resources: functions, APIs, and tables
• Supports anything CloudFormation supports
• Open specification (Apache 2.0)

25. AWS SAM: Less complexity, more power
AWSTemplateFormatVersion: '2010-09-09'
Resources:
GetHtmlFunctionGetHtmlPermissionProd:
Type: AWS::Lambda::Permission
Properties:
Action: lambda:invokeFunction
Principal: apigateway.amazonaws.com
FunctionName:
Ref: GetHtmlFunction
SourceArn:
Fn::Sub: arn:aws:execute-api:${AWS::Region}:${AWS::AccountId}:${ServerlessRestApi}/Prod/ANY/*
ServerlessRestApiProdStage:
Type: AWS::ApiGateway::Stage
Properties:
DeploymentId:
Ref: ServerlessRestApiDeployment
RestApiId:
Ref: ServerlessRestApi
StageName: Prod
ListTable:
Type: AWS::DynamoDB::Table
Properties:
ProvisionedThroughput:
WriteCapacityUnits: 5
ReadCapacityUnits: 5
AttributeDefinitions:
- AttributeName: id
AttributeType: S
KeySchema:
- KeyType: HASH
AttributeName: id
GetHtmlFunction:
Type: AWS::Lambda::Function
Properties:
Handler: index.gethtml
Code:
S3Bucket: flourish-demo-bucket
S3Key: todo_list.zip
Role:
Fn::GetAtt:
- GetHtmlFunctionRole
- Arn
Runtime: nodejs4.3
GetHtmlFunctionRole:
Type: AWS::IAM::Role
Properties:
ManagedPolicyArns:
- arn:aws:iam::aws:policy/AmazonDynamoDBReadOnlyAccess
- arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole
AssumeRolePolicyDocument:
Version: '2012-10-17'
Statement:
- Action:
- sts:AssumeRole
Effect: Allow
Principal:
Service:
- lambda.amazonaws.com
ServerlessRestApiDeployment:
Type: AWS::ApiGateway::Deployment
Properties:
RestApiId:
Ref: ServerlessRestApi
Description: 'RestApi deployment id: 127e3fb91142ab1ddc5f5446adb094442581a90d'
StageName: Stage
GetHtmlFunctionGetHtmlPermissionTest:
Type: AWS::Lambda::Permission
Properties:
Action: lambda:invokeFunction
Principal: apigateway.amazonaws.com
FunctionName:
Ref: GetHtmlFunction
SourceArn:
Fn::Sub: arn:aws:execute-api:${AWS::Region}:${AWS::AccountId}:${ServerlessRestApi}/*/ANY/*
ServerlessRestApi:
Type: AWS::ApiGateway::RestApi
Properties:
Body:
info:
version: '1.0'
title:
Ref: AWS::StackName
paths:
"/{proxy+}":
x-amazon-apigateway-any-method:
x-amazon-apigateway-integration:
httpMethod: ANY
type: aws_proxy
uri:
Fn::Sub: arn:aws:apigateway:${AWS::Region}:lambda:path/2015-03-
31/functions/${GetHtmlFunction.Arn}/invocations
responses: {}
swagger: '2.0'
AWSTemplateFormatVersion: '2010-09-09’
Transform: AWS::Serverless-2016-10-31
Resources:
GetHtmlFunction:
Type: AWS::Serverless::Function
Properties:
CodeUri: s3://flourish-demo-bucket/todo_list.zip
Handler: index.gethtml
Runtime: nodejs4.3
Policies: AmazonDynamoDBReadOnlyAccess
Events:
GetHtml:
Type: Api
Properties:
Path: /{proxy+}
Method: ANY
ListTable:
Type: AWS::Serverless::SimpleTable
CF template example—API triggering Lambda
AWS SAM example—API triggering Lambda

26. AWS SAM Local
• https://github.com/awslabs/aws-sam-local
• Install and run Docker
• Install SAM Local (Go platform binaries)
• Local functionality
• Invoke functions
• Generate sample event source payloads
• Run API Gateway

27. Workshop overview

28. Wild Rydes Unicorn Stable API

29. Wild Rydes Unicorn Stable API architecture
Internet
Website / CLI
AWS
AWS Lambda
functions
Amazon
CloudWatch
Monitoring
Amazon
CloudFront Amazon
API Gateway
Amazon
DynamoDB

30. Before After
Workshop format

31. Fetch Code Updates
git fetch --all
git reset --hard origin/master
Publish Code Updates
git add .
git commit –m “description of change”
git push origin master
Git commands

32. Workshop modules
1. CodeStar setup
2. Serverless Application Model
3. Continuous delivery
4. AWS X-Ray

33. Get started!
• Work in teams
• Reveal detailed instructions, if necessary
• AWS staff is here to help
• $25 AWS credits will be available
• http://amzn.to/serverless-devops-workshop

34. Thank you!