This document provides an overview of serverless computing on AWS and how to build and deploy serverless applications. It discusses what serverless computing is, common use cases, serverless patterns using AWS Lambda and Amazon API Gateway, examples of what customers are building, and how to do safe deployments of serverless apps using the AWS Serverless Application Model and AWS CodeDeploy.

1. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Alex Casalboni
Technical Evangelist, AWS
How to Build and Deploy Serverless Apps
@alex_casalboni

2. About me
• Software Engineer & Web Developer
• Serverless Lover & AI Enthusiast
• AWS Customer since 2013

3. Agenda
1. What is serverless computing
2. Serverless patterns on AWS
3. What customers are building
4. Safe deployments for AWS Lambda
5. Demo time
bit.ly/cape-town-serverless

4. What is serverless computing

5. Serverless Computing in a nutshell
No servers to provision
or manage
Scales with usage
Never pay for idle Built-in availability and
fault tolerance

6. Event-driven architectures
Services (anything)
Changes in
data state
Requests to
endpoints
Changes in
resource state
Event source Lambda function
Node.js
Python
Java
C#
Go

7. Common Use Cases
Web apps
• Static
websites
• Complex web
apps
• Packages for
Flask and
Express
Data processing
• Real time
• MapReduce
• Batch
• Machine learning
inference
Chatbots
• Powering
chatbot logic
Backends
• Apps and
services
• Mobile
• IoT
</></>
Amazon Alexa
• Powering
voice-enabled
apps
• Alexa
Skills Kit
IT automation
• Policy engines
• Extending AWS
services
• Infrastructure
management

8. Amazon S3 Amazon
DynamoDB
Amazon
Kinesis
AWS
CloudFormation
AWS CloudTrail Amazon
CloudWatch
Amazon
Cognito
Amazon SNSAmazon
SES
Cron events
Data stores Endpoints
Configuration repositories Event/message services
Example Event Sources
… and more on the way.
AWS
CodeCommit
Amazon
API Gateway
Amazon
Alexa
AWS IoT AWS Step
Functions
Amazon
SQS
New

9. Serverless patterns on AWS

10. Using AWS Lambda
Simple resource model
• Select power rating
from 128 MB to 3 GB
• CPU and network
allocated
proportionately
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
Bring your own code
• Node.js, Java, Python,
C#, Go
• Bring your own libraries
(even native ones)

11. Using AWS Lambda
Authoring functions
• WYSIWYG editor or
upload packaged .zip
• AWS Cloud9 IDE
• Third-party plugins
(Eclipse, Visual Studio)
Monitoring and logging
• Metrics for requests,
errors, and throttles
• Built-in logs to Amazon
CloudWatch Logs
• Distributed tracing with
AWS X-Ray
Programming model
• Use processes, threads,
/tmp, sockets normally
• AWS SDK built in
(Python and Node.js)
Stateless
• Persist data using
external storage
• No affinity or access to
underlying infrastructure

12. AWS Lambda Execution Model
Synchronous (push) Asynchronous (event) Stream-based
Amazon
API Gateway
AWS Lambda
function
Amazon
DynamoDBAmazon
SNS
AWS Lambda
function
Amazon
S3
reqs changes
AWS Lambda
service
function
/order
Amazon
Kinesis

13. Amazon API Gateway
Unified API
frontend
Authenticate and
authorize requests
DDoS protection
and throttling
Throttle, meter,
and monetize APIs

14. Mobile Apps
Websites
Services
Amazon API Gateway
API Gateway
Cache
Public
Endpoints on
Amazon EC2
Amazon
CloudWatch
Monitoring
All publicly
accessible
endpoints
Lambda
Functions
Endpoints
in VPC
Applications
& Services
in VPC
Any other
AWS service
Fully-managed
CloudFront
Distribution
Edge-OptimizedRegionalPrivate
Customer-managed
CloudFront
Distribution
Applications
& Services
in the same
AWS Region
AWS Direct
Connect
On-premises
Amazon API Gateway Integrations

15. AWS Lambda@Edge
Write Node.js code,
upload it to Lambda,
and run it on 120+
edge locations
Run code at an AWS
location close to your end
user with CloudFront’s
global network
Leverage computation at
the edge and CloudFront’s
caching functionalities to
reduce origin load
Programing modelReduce Origin LoadGlobal network
New

16. AWS Lambda@Edge Triggers

17. What customers are building

18. Who’s using AWS Lambda?

19. EOH
eSignatures – Serverless Architecture on AWS
Managing Director
Andy Papastefanou
July 2018

20. Electronic Consent
Electronic Signatures
Transaction Approval
Secure Document Delivery
Developer Toolkit & Connectors

21. • Proudly South African, started in 2011.
• Gartner Aspiring Innovator 2016.
• Acquired by EOH in 2017.
• 20+ Enterprise customers. 14,000 signing stations.
1m+ monthly transactions.

22. Supporting Functions
SERVERLESS COMPONENTS DEPLOYED
Amazon
Quicksight
Amazon
RedShift
Amazon
Cognito
Amazon
VPC
AWS Lambda
Amazon
DynamoDB
Amazon
API Gateway
Amazon
S3
Amazon
Route53
Amazon
CloudWatch
AWS
CloudHSM
Amazon
SNS
Amazon
SQS
Amazon
SES
AWS
IAM
AWS
Device Farm
AWS
Mobile SDK
Mobile AppsAnalyticsPlatform Messaging
Storage

23. WHERE SHOULD YOU START?

24. WHY WE CHOSE AWS (AND SERVERLESS)
Developers focus
on building
functionality
Multiple
programming
languages co-exist
Platform stability Scalability &
Availability

25. WHY WE CHOSE AWS (AND SERVERLESS)
Architectural &
release agility
AWS Free TierSafe & gradual
deployments
Deep visibility into
code execution &
performance

26. VITAL STATS
FIRST 6 MONTHS AFTER LAUNCH
• Mobile App Downloads
~ 60,000
• Lambda Invocations
~ 1,2 million monthly
• AWS Costs
$173 to $1,400 monthly (R2,400 to R20k)
Stable costs despite the linear growth

27. JOURNEY TO THE AWS MARKETPLACE
Signature Audit
& Workflow
Web Signing
Platform
Mobile App
Platform
Impression SDK
Signature
APIs
Impression Cloud
Certificate
Services
Biometric
Analysis
Forensic
Analysis Tools
Platform
Devices
Fingerprint
Handwritten
Signature
USSD with
Sim Swap
SMS
OTP / KBA
Advanced
eSignature
Click-to-Sign
Directory
AuthNFactors GPS &
Location
Device
Identifiers
Commodity
Desktop
Apps
Desktop App
Plugins
Cloud App
Connectors
SaaS Consumer
Apps
Developer Community
Consumption

28. EOH
www.impression-signatures.com
andyp@impression.cloud

29. Safe deployments for AWS Lambda

30. AWS Serverless Application Model (SAM)
Simplified template driven deployment
model for serverless applications
Supported serverless resource types:
functions, APIs, and tables
Supports anything AWS CloudFormation
supports
Open specification (Apache 2.0)
github.com/awslabs/serverless-application-model

31. SAM Template
Tells AWS CloudFormation this is a
SAM template it needs to transform
Creates a Lambda function with the
referenced managed IAM policy,
runtime, code at the referenced zip
location, and handler as defined.
Also creates an API Gateway and
takes care of all mapping and
permissions necessary
Creates a DynamoDB table with five
read & write units
AWSTemplateFormatVersion: '2010-09-09’
Transform: AWS::Serverless-2016-10-31
Resources:
GetHtmlFunction:
Type: AWS::Serverless::Function
Properties:
CodeUri: s3://sam-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

32. SAM Template Properties
Handler: index.js
Runtime: nodejs4.3
CodeUri: 's3://my-bucket/my-function.zip'
Description: Creates thumbnails
MemorySize: 1024
Timeout: 15
Policies: AmazonS3FullAccess
Environment:
Variables:
TABLE_NAME: my-table
Events:
PhotoUpload:
Type: S3
Properties:
Bucket: my-photo-bucket
Tracing: Active|PassThrough
From SAM version 2016-10-31
AWS::Serverless::Function
AWS::Serverless::Api
AWS::Serverless::SimpleTable

33. SAM Template Properties
StageName: prod
DefinitionUri: swagger.yml
CacheClusterEnabled: true
CacheClusterSize: 28.4
Variables:
VarName: VarValue
From SAM version 2016-10-31
AWS::Serverless::Function
AWS::Serverless::Api
AWS::Serverless::SimpleTable

34. SAM Template Properties
PrimaryKey:
Name: id
Type: String
ProvisionedThroughput:
ReadCapacityUnits: 5
WriteCapacityUnits: 5
From SAM version 2016-10-31
AWS::Serverless::Function
AWS::Serverless::Api
AWS::Serverless::SimpleTable

35. github.com/awslabs/aws-sam-local
AWS SAM CLI
CLI tool for local testing of serverless apps
Works with Lambda functions and “proxy-style” APIs
Response object and function logs available on your
local machine
Uses open-source Docker-Lambda images to mimic
Lambda’s execution environment (timeout, memory
limits, runtimes)

36. Understanding “CI/CD”
Source Build Test Production
Continuous integration
Continuous delivery
Continuous deployment

37. Understanding “CI/CD” for AWS Lambda
Source Build Test Production
AWS
CodeCommit
AWS
CodeDeploy
AWS
CodeBuild
Third-party
tooling
AWS
CodePipeline
New

38. AWS CodeDeploy + Lambda
Deployment Preference Type
Canary10Percent30Minutes
Canary10Percent5Minutes
Canary10Percent10Minutes
Canary10Percent15Minutes
Linear10PercentEvery10Minutes
Linear10PercentEvery1Minute
Linear10PercentEvery2Minutes
Linear10PercentEvery3Minutes
AllAtOnce
• Lambda Alias Traffic Shifting enables canaries
and blue|green deployments
• Automatic rollback based on CloudWatch
Metrics/Alarms
• Pre/Post-Traffic Triggers can integrate with
other services (or even call Lambda functions)

39. <demo time>

40. bit.ly/aws-sam-rollback-demo

41. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Alex Casalboni
Technical Evangelist, AWS
Thank you!
@alex_casalboni