AWS 台灣團隊擬於 2017年1月12日，與美國同步重現 AWS re:Invent 2016 大會中的精彩匯總，於台北隆重登場！為期一天，特別為在地客戶精選的雲端議程，活動中將發表 AWS 的最新消息，並介紹 AWS 全新服務，內容包涵：大數據及分析領域中的新服務、最新無伺服器與容器技術、亞馬遜 Alexa 結合物聯網、人工智慧與深度學習等重點主題。我們亦邀請到 AWS 客戶現身說法，闡述參與今年盛會的學習經驗、並分享使用 AWS 雲端服務為企業帶來的差異化價值。

1. © 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!

2. SERVERLESS AUTOMATION PROXIMITY
INSIGHTS
ARTIFICIAL
INTELLIGENCE
SECURITY

3. Serverless

4. Dr. Werner Vogels
CTO - Amazon

5. No server is easier to manage…

6. …than no server.
No server is easier to manage…

7. 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

8. Many Serverless Options on AWS
Storage
Database
Compute
Messaging and Queues
Gateways
User Management
Internet of Things
Machine Learning
Streaming Analytics
Search

9. How to build application backends?
Back-end logic DatabaseMobile

10. How to build serverless microservices?
AWS
Lambda
Amazon API
Gateway
Amazon
DynamoDB
Microservice

11. 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

12. Amazon S3 Amazon
DynamoDB
Amazon
Kinesis
AWS
CloudFormation
AWS
CloudTrail
Amazon
CloudWatch
Amazon SNSAmazon
SES
Amazon
API Gateway
Amazon
Cognito
AWS
IoT
Amazon
Alexa
Cron events
DATA STORES ENDPOINTS
REPOSITORIES EVENT/MESSAGE SERVICES
Event Sources that integrate with AWS Lambda
… and the list continues to grow.
Amazon
Config

13. AWS Lambda Language Support
C#

14. How about Creating and Deploying
a Serverless Application?

15. 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)

16. SAM Template
Resources:
GetHighscoresFunction:
Type: AWS::Serverless::Function
Properties:
CodeUri: s3://olivierk-deliverables/aws-jumpy-fish.zip
Handler: index.handler
Runtime: nodejs4.3
Policies: AmazonDynamoDBReadOnlyAccess
Events:
GetHighscores:
Type: Api
Properties:
Path: /getHighscores
Method: ANY
HighscoreTable:
Type: AWS::Serverless::SimpleTable

17. Serverless Game Demo
Amazon
Lambda
Amazon API
Gateway
Amazon S3Amazon
CloudFront
Browser
Amazon
DynamoDB

18. Automation

19. Development Is Changing
Reduce Risk Smaller,
targeted
applications
Deliver faster Reactive to
customer
needs
More
experimental

20. S o u r c e
AWS CodeCommit
B u i l d
?
S t a g i n g
P r e - p r o d u c t i o n
P r o d u c t i o n
AWS CodeDeploy
AW S C o d e P i p e l i n e
Advantages of CI/CD
Smaller changes,
less risk and cost
Automated execution,
increased reliability and
scalability
Less features, more
reliable updates
Fewer lines of code,
improved security

21. AWS CodeBuild
B 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

22. 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

23. How about Automating Workflows,
especially in Serverless Apps?

24. 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

25. AWS Step Functions
C 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

26. Proximity

27. 16 Regions
42 Availability Zones
68 Edge Locations
Continuous Expansion
AWS Global Infrastructure

28. IoT devices have limited resources on board

29. 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

30. Built into devices
at manufacture
AWS Greengrass
Embedded Lambda compute,
messaging & data caching in
connected devices
Install the
Greengrass runtime
Lambda functions on
AWS & Devices
Manage from
AWS console
Same programming
model
Local communication
and orchestration

31. AWS Lambda @ Edge
R 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

32. Gain Insights

33. Why is most of
the company left
in the dark?
FinanceMarketingSales HR Data Analysts

34. Amazon Quicksight
Fast, 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

36. 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

37. 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 Athena
Interactive query service that makes it
easy to analyze data in Amazon S3
using standard SQL

38. 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

39. 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

40. 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
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
Analytics
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

41. 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
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
Analytics
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

42. AWS Glue
Easily 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

43. Build Your Data
Catalog

44. Generate And Edit
Transformations

45. Schedule And Run
Your Jobs

46. Elastic GPUs For EC2
U 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

47. Elastic GPUs: GPU Acceleration on-demand
Current
Generation
EC2
Instance

48. 1GiB
GPU Memory
2 GiB
4 GiB
8 GiB
Current
Generation
EC2
Instance
Elastic GPUs: GPU Acceleration on-demand

49. Artificial Intelligence

50. Alexa, Hello!

51. 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

52. Build your own Alexa Skill!
Amazon
Echo
Alexa Skills
Kit
AWS Lambda Facebook
Page

53. Unlimited
Replays
Returns an MP3
or audio stream
Lightning Fast
Response
Fully Managed and
Low Cost
Amazon Polly
Turn text into lifelike speech using deep
learning technologies to synthesize
speech that sounds like a human voice

54. 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

55. Amazon Lex
Conversational 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
connectors
Fully Managed

56. 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

57. Amazon Rekognition
Image 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

58. Maple
Villa
Plant
Garden
Water
Swimming Pool
Tree
Potted Plant
Backyard

59. Demographic Data
Facial Landmarks
Sentiment Expressed
Image Quality
Brightness: 25.84
Sharpness: 160
General Attributes

60. 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

61. Security & Compliance

62. ORMOVE
FAST
STAY
SECURE

63. AND STAY
SECURE
MOVE FAST WITHOUT SACRIFICING CONTROL
MOVE
FAST

64. GLACIER VAULT LOCK
& SEC RULE 17A-4(F)
27018
BROADEST SET OF ACCREDITATIONS & CERTIFICATIONS

65. AWS Artifact
P 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

66. BROADEST SERVICES TO SECURE APPLICATIONS
NETWORKING
VIRTUAL
PRIVATE
CLOUD
WEB
APPLICATION
FIREWALL

67. BROADEST SERVICES TO SECURE APPLICATIONS
NETWORKING
VIRTUAL
PRIVATE
CLOUD
WEB
APPLICATION
FIREWALL
IDENTITY
IAM ACTIVE
DIRECTORY
INTEGRATION
SAML
FEDERATION

68. 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

69. BROADEST SERVICES TO SECURE APPLICATIONS
COMPLIANCE
CONFIGCLOUD
TRAIL
SERVICE
CATALOG
CONFIG
RULES
INSPECTOR
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

70. Distributed Denial of Service
One Particular Threat Customers Worry About:

71. AWS Shield for Everyone
Web 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!

72. AWS Shield Advanced
For 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

73. Customers told us they would like
Deeper Insight into Application &
Service Execution

74. AWS X-Ray
Analyze and debug distributed
applications in production
fanout-00002
hello-1.mbfzqxzcpe.us-
east-..
hello-2.mbfzqxzcpe.us-
east-..
fanout-00005
fanout-00003
throttle
DynamoDB
index
DynamoDB
fanout-00004
400 traces
0.30 ms
600 traces
0.19 ms
1000 traces
0.13 ms
400 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

77. AW S O p s W o r k s
F o r
C h e f Au t o m a t e
Am a z o n E C 2 S y s t e m s
M a n a g e r
AW S
C o d e B u i l d
AW S X -
R a y
AW S P e r s o n a l
H e a l t h
D a s h b o a r d
AW S
S h i e l d
Am a z o n
P i n p o i n t
AW S
G l u e
AW S
B a t c h
C # I n AW S
L a m b d a
AW S
L a m b d a @ E d g e
AW 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
Am a z o n
L i g h t s a i l
F 1 I n s t a n c e s
Am a z o n At h e n a
Am a z o n AI
Am a z o n
R e k o g n i t i o n
Am a z o n
P o l l y
Am a z o n
L e x
P o s t g r e S Q L F o r
Au r o r a
AW S
G r e e n g r a s s
AW S S n o w b a l l
E d g e
AW S
S n o w m o b i l e

78. 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 !

79. Thank you!
Olivier Klein 奧樂凱
AWS Emerging Technologies Solutions Architect, Asia-Pacific