© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Olivier Klein 奧樂凱, Emerging Technologies Solutions Architect, Asia-Pacific

Activate your Cloud Superpowers!

SERVERLESS AUTOMATION PROXIMITY

INSIGHTSARTIFICIAL

INTELLIGENCESECURITY

Serverless

Dr. Werner Vogels

CTO - Amazon

No server is easier to manage…

…than no server.

No server is easier to manage…

We can now Architect to be Serverless

Fully Managed

• No provisioning

• Zero Administration

• High-Availability

Developer Productivity

• Focus on the code

• Innovate rapidly

• Reduce time to market

Scalability

• Automatically

• Scale up and down

Many Serverless Options on AWS

Storage

Database

Compute

Messaging and Queues

Gateways

User Management

Internet of Things

Machine Learning

Streaming Analytics

Search

How to build application backends?

Back-end logic DatabaseMobile

How to build serverless microservices?

AWS

Lambda

Amazon API

Gateway

Amazon

DynamoDB

Microservice

AWS Lambda

Run your code without thinking about

servers. Pay only for compute time

you consume.

Triggered through API calls or state

changes in your AWS environment

Scales automatically to match the

incoming event rate

Charged per 100ms execution time

AWS Lambda

Amazon S3 Amazon DynamoDB

Amazon Kinesis

AWS CloudFormation

AWS CloudTrail

Amazon CloudWatch

Amazon SNSAmazonSES

AmazonAPI Gateway

Amazon Cognito

AWSIoT

AmazonAlexa

Cron events

DATA STORES ENDPOINTS

REPOSITORIES EVENT/MESSAGE SERVICES

Event Sources that integrate with AWS Lambda

… and the list continues to grow.

Amazon Config

AWS Lambda Language Support

C#

How about Creating and Deploying

a Serverless Application?

AWS Serverless Application Model (“SAM”)

Common language to describe

contents of a serverless app via YAML

Uses CloudFormation to provision

resources and deploy the app

Supports anything CloudFormation

supports

Open specification (Apache 2.0)

SAM Template

Resources: GetHighscoresFunction:Type: AWS::Serverless::FunctionProperties:CodeUri: s3://olivierk-deliverables/aws-jumpy-fish.zipHandler: index.handlerRuntime: nodejs4.3Policies: AmazonDynamoDBReadOnlyAccessEvents:GetHighscores:Type: ApiProperties:Path: /getHighscoresMethod: ANY

HighscoreTable:Type: AWS::Serverless::SimpleTable

Serverless Game Demo

Amazon

LambdaAmazon API

Gateway

Amazon S3Amazon

CloudFront

Browser

Amazon

DynamoDB

Automation

Development Is Changing

Reduce Risk Smaller,

targeted

applications

Deliver faster Reactive to

customer

needs

More

experimental

S o u r c e

AWS CodeCommit

B u i l d

?

S t a g i n gP r e - p r o d u c t i o n

P r o d u c t i o n

AWS CodeDeploy

A W S C o d e P i p e l i n e

Advantages of CI/CD

Smaller changes,

less risk and costAutomated execution,

increased reliability and

scalability

Less features, more

reliable updatesFewer lines of code,

improved security

AWS CodeBuildB u i l d s e r v i c e f o r c o m p i l i n g s o u r c e c o d e

a n d r u n u n i t t e s t s

AWS OpsWorks for Chef Automate

Fully managed Chef Server

Amazon EC2 Systems Manager

Collection of AWS tools for package installation,

patching, resource configuration and task automation

Other Services to help with automation

How about Automating Workflows,

especially in Serverless Apps?

M e t h o d C a l l F u n c t i o n C h a i n i n g D a t a b a s e Q u e u e s

Different Ways to Coordinate Functions

AWS Step FunctionsC o o r d i n a t e t h e c o m p o n e n t s o f d i s t r i b u t e d

a p p l i c a t i o n s u s i n g v i s u a l w o r k f l o w s

Proximity

16 Regions

42 Availability Zones

68 Edge Locations

Continuous Expansion

AWS Global Infrastructure

IoT devices have limited resources on board

Round-trip latency

Intermittent connectivity

Expensive bandwidth

Programming and updating embedded software needs specialized skills

Limited to what is on the device unless you rewrite or program the device

Challenges of Devices Living on the Edge

Built into devices

at manufacture

AWS GreengrassEmbedded Lambda compute,

messaging & data caching in

connected devices

Install the

Greengrass runtimeLambda functions on

AWS & Devices

Manage from

AWS console

Same programming

model

Local communication

and orchestration

AWS Lambda @ EdgeR u n AW S L a m b d a f u n c t i o n s a t C l o u d F r o n t l o c a t i o n s

Gain Insights

Why is most of

the company left

in the dark?

FinanceMarketingSales HR Data Analysts

Amazon QuicksightFast, cloud-powered BI service that makes

it easy to build visualizations, perform ad-

hoc analysis, and get insights from data.

Get started within

minutes through your

browser

Fast results with in-

memory calculation

engine (SPICE)

1/10th of the cost of

traditional BI tools –

pay as you go per user

Decouple Storage and Compute

Traditionally analytical workloads

required large databases or data

warehouses, with storage and

compute close to each other

Big Data benefits from decoupling

storage and compute

Amazon S3 offers virtually unlimited

storage at a per GB/month rate

No need to

move data

Query S3 directly

& right away

No infrastructure to

setup & manage

Fast results

within seconds

Pay for just the

queries you run

Amazon AthenaInteractive query service that makes it

easy to analyze data in Amazon S3

using standard SQL

Athena & Quicksight Demo

Amazon

S3

Amazon

Athena

Amazon

Quicksight

Analyze past flight performance data stored in S3

Bureau of Transportation Flight Data Statistics

www.transtats.bts.gov

Create visualizations from S3 with Athena & Quicksight

S o u r c e s M o d e l s A p p l i c a t i o n s Q u e r i e sU s e r s P r o c e s s i n g

The Modern Data Architecture Is Agile

2 . S o u r c e D a t a

S 3 U p l o a d

K i n e s i s F i r e h o s e

D y n a m o D B S t r e a m s

S n o w b a l l

S n o w b a l l E d g e

S n o w m o b i l e

3 . L i f e c y c l e

m a n a g e m e n t

a n d c o l d s t o r a g e

5 . D a t a

g o v e r n a n c e ,

s e c u r i t y ,

p r i v a c y

Anal yt ics

D a t a b a s e

M i g r a t i o n

S e r v i c e

1 . I n g e s t i o n

D a t a s t o r e t a r g e t

4 .

M e t a d a t a

c a p t u r e

6 . S e l f - s e r v i c e

d i s c o v e r y , s e a r c h ,

a c c e s s

7 .

M a n a g i n g

d a t a

q u a l i t y

S 3

E F S

D y n a m o D B

R D S

E B S

8 . P r e p a r i n g f o r

A n a l y t i c s

9 .

O r c h e s t r a t i o n

a n d j o b

s c h e d u l i n g

1 0 .

C a p t u r i n g

d a t a

c h a n g e s

G l a c i e r E M R

A t h e n a

E M R

E l a s t i c S e a r c h

R e d s h i f t

A I

M a c h i n e L e a r n i n g

Q u i c k s i g h t

?

The Modern Data Architecture on AWS

2 . S o u r c e D a t a

S 3 U p l o a d

K i n e s i s F i r e h o s e

D y n a m o D B S t r e a m s

S n o w b a l l

S n o w b a l l E d g e

S n o w m o b i l e

3 . L i f e c y c l e

m a n a g e m e n t

a n d c o l d s t o r a g e

5 . D a t a

g o v e r n a n c e ,

s e c u r i t y ,

p r i v a c y

Anal yt ics

D a t a b a s e

M i g r a t i o n

S e r v i c e

1 . I n g e s t i o n

D a t a s t o r e t a r g e t

4 .

M e t a d a t a

c a p t u r e

6 . S e l f - s e r v i c e

d i s c o v e r y , s e a r c h ,

a c c e s s

7 .

M a n a g i n g

d a t a

q u a l i t y

A W

S

G l u

e

S 3

E F S

D y n a m o D B

R D S

E B S

8 . P r e p a r i n g f o r

A n a l y t i c s

9 .

O r c h e s t r a t i o n

a n d j o b

s c h e d u l i n g

1 0 .

C a p t u r i n g

d a t a

c h a n g e s

G l a c i e r E M R

A t h e n a

E M R

E l a s t i c S e a r c h

R e d s h i f t

A I

M a c h i n e L e a r n i n g

Q u i c k s i g h t

The Modern Data Architecture on AWS

AWS GlueEasily understand your data sources,

prepare the data, and load it reliably to

data stores and your analytics pipeline

Integrated with:

S3, RDS, Redshift & any JDBC-

compliant data store

Build Your Data

Catalog

Generate And Edit

Transformations

Schedule And Run

Your Jobs

Elastic GPUs For EC2U s e G r a p h i c s G P U s A s I f T h e y W e r e E B S Vo l u m e s

Elastic GPUs: GPU Acceleration on-demand

Current

Generation

EC2

Instance

1GiB

GPU Memory

2 GiB

4 GiB

8 GiB

Current

Generation

EC2

Instance

Elastic GPUs: GPU Acceleration on-demand

Artificial Intelligence

Alexa, Hello!

The Power of Speech: Alexa

Alexa, the voice service that powers

Echo, provides capabilities, or skills,

that enable customers to interact with

devices using voice

Alexa Skills Kit (ASK) allows everyone

to build and publish their own skills

Skills can be powered by AWS

Lambda

Build your own Alexa Skill!

Amazon

Echo

Alexa Skills

Kit

AWS Lambda Facebook

Page

Unlimited

Replays

Returns an MP3

or audio stream

Lightning Fast

Response

Fully Managed and

Low Cost

Amazon PollyTurn text into lifelike speech using deep

learning technologies to synthesize

speech that sounds like a human voice

Amazon Polly

“The temperature

in WA is 75°F”

“The temperature

in Washington is 75 degrees

Fahrenheit”

Amazon Polly: Text In, Life-like Speech Out

Amazon LexConversational interfaces for your

applications, powered by the same

Natural Language Understanding

(NLU) & Automatic Speech Recognition

(ASR) models as Alexa

Integrated

development in

AWS console

Trigger AWS

Lambda

functions

Multi-step

conversations

Continually improving

ASR & NLU models

Enterprise

connectorsFully Managed

Intents

A particular goal that the

user wants to achieve

Utterances

Spoken or typed phrases

that invoke your intent

Slots

Data the user must provide to fulfill the

intent

Prompts

Questions that ask the user to input

data

Fulfillment

The business logic required to fulfill the

user’s intent

BookHotel

Amazon RekognitionImage Recognitions and Analysis

powered by Deep Learning which

allows to search, verify and organize

millions of images

Easy to use Batch Analysis Real-time

Analysis

Continually Improving Low Cost

Maple

VillaPlant

Garden

Water

Swimming Pool

Tree

Potted Plant

Backyard

Demographic Data

Facial Landmarks

Sentiment Expressed

Image Quality

Brightness: 25.84

Sharpness: 160

General Attributes

Serverless Rekognition Demo

Serverless website that uses Rekognition to identify

faces and classify pictures

Amazon S3

AWS Lambda

Amazon API

Gateway

Amazon

DynamoDB

Amazon

Rekognition

Mobile

CodeFor.Cloud/image

Security & Compliance

ORMOVEFAST

STAYSECURE

AND STAYSECURE

MOVE FAST WITHOUT SACRIFICING CONTROL

MOVEFAST

GLACIER VAULT LOCK& SEC RULE 17A-4(F)

27018

BROADEST SET OF ACCREDITATIONS & CERTIFICATIONS

AWS ArtifactP o r t a l f o r o n - d e m a n d a c c e s s t o

AW S c o m p l i a n c e r e p o r t s

BROADEST SERVICES TO SECURE APPLICATIONS

NETWORKING

VIRTUAL

PRIVATE

CLOUD

WEB

APPLICATION

FIREWALL

BROADEST SERVICES TO SECURE APPLICATIONS

NETWORKING

VIRTUAL

PRIVATE

CLOUD

WEB

APPLICATION

FIREWALL

IDENTITY

IAM ACTIVE

DIRECTORY

INTEGRATION

SAML

FEDERATION

BROADEST SERVICES TO SECURE APPLICATIONS

NETWORKING

VIRTUAL

PRIVATE

CLOUD

WEB

APPLICATION

FIREWALL

ENCRYPTION

KEY

MANAGE-

MENT

SERVICE

CLOUDHSM SERVER-

SIDE

ENCRYPTION

ENCRYPTION

SDK

IDENTITY

IAM ACTIVE

DIRECTORY

INTEGRATION

SAML

FEDERATION

BROADEST SERVICES TO SECURE APPLICATIONS

COMPLIANCE

CONFIGCLOUD

TRAIL

SERVICE

CATALOG

CONFIG

RULESINSPECTOR

NETWORKING

VIRTUAL

PRIVATE

CLOUD

WEB

APPLICATION

FIREWALL

ENCRYPTION

KEY

MANAGE-

MENT

SERVICE

CLOUDHSM SERVER-

SIDE

ENCRYPTION

ENCRYPTION

SDK

IDENTITY

IAM ACTIVE

DIRECTORY

INTEGRATION

SAML

FEDERATION

Distributed Denial of Service

One Part icular Threat Customers Worry About:

AWS Shield for EveryoneWeb applications running on AWS are

already protected by Shield Standard -

no action is required

Protection from volumetric and state

exhaustion attacks

Enabled by default for everyone!

AWS Shield AdvancedFor additional protection against very

large and sophisticated attacks

Advanced

notifications via

Cloudwatch

Cost protection on

ELB, CloudFront,

Route 53

24/7 DDoS

response team

and support

WAF included at

no additional

cost

Customers told us they would like

Deeper Insight into Application &

Service Execution

AWS X-RayAnalyze and debug distributed

applications in production

fanout-00002

hello-1.mbfzqxzcpe.us-

east-..

hello-2.mbfzqxzcpe.us-

east-..fanout-00005

fanout-00003

throttleDynamoDB

indexDynamoDB

fanout-00004

400 traces

0.30 ms

600 traces

0.19 ms

1000 traces

0.13 ms400 traces

0.30 ms

1000 traces

0.28 ms

400 traces

0.30 ms

850 traces

0.16 ms

850 traces

0.17 ms

C l i e n t

C l i e n t

800 traces

0.19 ms

fanout-00001

560 traces

0.19 ms

fanout-00006

A W S O p s W o r k s

F o r

C h e f A u t o m a t e

A m a z o n E C 2 S y s t e m s

M a n a g e r

A W S

C o d e B u i l d

A W S X -

R a y

A W S P e r s o n a l

H e a l t h

D a s h b o a r d

A W S

S h i e l d

A m a z o n

P i n p o i n t

A W S

G l u e

A W S

B a t c h

C # I n A W S

L a m b d a

A W S

L a m b d a @ E d g e

A W S S t e p

F u n c t i o n s

E l a s t i c G P U s F o r

E C 2

A m a z o n

L i g h t s a i l

F 1 I n s t a n c e s

A m a z o n A t h e n a

A m a z o n A I

A m a z o n

R e k o g n i t i o n

A m a z o n

P o l l y

A m a z o n

L e x

P o s t g r e S Q L F o r

A u r o r a

A W S

G r e e n g r a s s

A W S S n o w b a l l

E d g e

A W S

S n o w m o b i l e

I t ’ s n e v e r b e e n a

b e t t e r t i m e t o b u i l d !

Thank you!

Olivier Klein 奧樂凱AWS Emerging Technologies Solutions Architect, Asia-Pacific