RISE Conference 2018 - Hong Kong Developer Workshop: Introduction to Serverless - Shaun Ray

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Shaun Ray
@shaun_r_ray
Intro to Serverless
Hong Kong

2. 2005
$5,000,000
Team of Engineers
Months of development
2017
$5,000
An Engineer
Weeks of development
Launching an Idea

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DEMO

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AMI Hours to Months Patching Multi-Threaded
Multi-Task
Per VM
Per Hour
The World Of Virtual Machines

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Minutes to Days Versioning Multi-Threaded
Single-Task
Per VM Per Hour
The World Of Containers

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V2
V2
V2
V2Application
Components with
Various Resource
Requirements
A Pool of
Capacity
on EC2

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Virtual Machines Containers Functions

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Serverless Means …
No servers to provision
or manage
Scales with usage
Never pay for idle Built-in availability and
fault tolerance

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

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Common Serverless Application Use Cases
Web
applications
• 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
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Amazon
Alexa
• Powering
voice-enabled
apps
• Alexa
Skills Kit
IT
automation
• Policy engines
• Extending
AWS services
• Infrastructure
management

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Using AWS Lambda
Bring your own code
• Node.js, Java, Python,
C#, Go
• Bring your own libraries
(even native ones)
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

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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
Using AWS Lambda

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

16. Amazon API Gateway
Create a unified
API frontend for
multiple
microservices
Authenticate and
authorize
requests to a
backend
DDoS protection
and throttling
for your backend
Throttle, meter,
and monetize
API usage by
third-party
developers

17. API Gateway Integrations
Internet
Mobile
apps
Websites
Services
AWS Lambda
functions
AWS
API Gateway Cache
Endpoints on
Amazon EC2
All publicly
accessible
endpoints
Amazon CloudWatch
Monitoring
Amazon
CloudFront
Any other
AWS service
Your
VPC
Endpoints
in your VPC
Regional API endpoints

18. AWS Step Functions
Easily coordinate multiple Lambda functions using visual
workflows
Visualize in the
console
Define in JSON Monitor
executions

19. 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/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

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AWS SAM Local
AWS 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:
• Emulates timeout, memory limits, runtimes
https://github.com/awslabs/aws-sam-local

21. AWS Serverless Application Repository
• Search and browse ready-made apps and samples
• Customize open-source apps to get started quickly
• Share apps privately or publically
• Monetize APIs using the AWS Marketplace
• All apps powered by AWS SAM

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bit.ly/aws-selfie-arch

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Thank you!
@shaun_r_ray