[AWS Start-up ゼミ] よくある課題を一気に解説！御社の技術レベルがアップする 2019 春期講習補講＆おかわり編

© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
[AWS Start-up ]
2019
Akihiro Tsukada, Yuki Nakatake, Kazuki Matsuda
Startup Solutions Architects from Amazon Web Services Japan K.K.
&

Startup SAs in Japan (2019.03.27)

Startup SAs in Japan (2019.04.17)

- / Ask An Expert
AWS Startup
Update
AWS Loft

Startup Day Tech Track
5/14( )
https://amzn.to/20190514
5/16( )
5/15( )

[AWS Start-up ]
• AWS Startup Team
• 2019
•

[AWS Start-up ]
2017 2018 2018

2019
1.
2.
3.
4.
5.

• !
• …
• RDBMS
• RDBMS
• "
•
•
• #
1.
2.
3.

Amazon EC2
Amazon
Aurora
Amazon
DynamoDB
Amazon
ElastiCache
Amazon
Redshift
Amazon
Neptune
Amazon
Quantum
Ledger
Database
(QLDB)
Amazon
Timestream
Amazon
DocumentDB

Relational
ACID
Key-value Document In-memory
key
Graph Time-series Ledger

Aurora CommercialCommunity
Relational Key-value Document In-memory Graph Time-series Ledger
Amazon
DynamoDB
Amazon
DocumentDB
Amazon
ElastiCache
Amazon
Neptune
Amazon
Timestream
Amazon
Quantum
Ledger
Database
(QLDB)
Amazon
RDS

•
•
•

Amazon
RDS
Amazon Kinesis
Data Streams
AWS
Database
Migration
Service
(DMS)
Amazon
Elasticsearch Service
Amazon
RDS
Amazon
DynamoDB
Amazon
Aurora
Amazon
Redshift
Amazon EC2
Amazon
EC2
Amazon S3
Amazon S3
Amazon Kinesis
Data Firehose
AWS Lambda

§
§ Amazon DynamoDB
§ Amazon ElastiCache
§ Amazon Neptune
§ Amazon RDS
§ Amazon Redshift
§ AWS Database Migration Service
§
§
§
§
§
§

• !
•
•
• "
•
•
• #
1. Amazon Cognito
1.
2. ID&Password/SNS/Active Directory/No Password etc
2. AWS Lambda
3.

…

•
• SDK signIn()
•
• AWS
• SNS AD IdP
•
•
Client
Amazon
Cognito
User Pools
Authenticate
and get token

- - - - -
- -
- C
,
-
D A
C
) - - ( D D
A
- - - -
A
C C A
- - - - A
- - -
- -
- C A

Client Amazon
Cognito
AWS
Lambda
(Define Auth
Challenge)
AWS
Lambda
(Verify Auth
Challenge)
Amazon
Simple Email
Service (SES)
AWS
Lambda
(Create Auth
Challenge)

next challengeName:
PASSWORD_VERIFIER
(1/3)
Client User Pool Lambda Triggers
InitiateAuth()
AuthFlow: CUSTOM_AUTH
ChallengeName: SRP_A
DefineAuthChallenge()
challengeName: SRP_A
next challengeName:
PASSWORD_VERIFIER

(2/3)
challengeName:
PASSWORD_VERIFIER
next challengeName:
CUSTOM_CHALLENGE
RespondToAuthChallenge()
ChallengeName:
PASSWORD_VERIFIER,
<Encrypted Password Info>
Verify Password

RespondToAuthChallenge()
ChallengeName:
CUSTOM_CHALLENGE,
<Answer For reCAPTCHA>
(3/3) reCAPTCHA
CreateAuthChallenge()
challengeName:
CUSTOM_CHALLENGE
challengeMetaData,
challengeInfo, challengeAnswer
Create Auth Challenge
next challengeName:
CUSTOM_CHALLENGE
VerifyAuthChallengeResponce()
<User Answer For reCAPTCHA>
Verify User's Answer
(SiteSecret, User Answer)
Verification Result
Verification Result
challengeName:
CUSTOM_CHALLENGE
issueTokens = true
idToken,
refreshToken,
accessToken
-

Lambda
Amazon Cognito
AWS Lambda

§
§
§
§
§
§
§
§
§
§
§
§
§
§
§
§ https://openid-foundation-japan.github.io/800-63-3-final/sp800-63-3.ja.html

```
```
https://openid-foundation-japan.github.io/800-63-3-final/sp800-63-3.ja.html

• !
• …
•
• "
•
• KPI
•
• #
1. Amazon S3
2.
3. S3

0. Data Lake
• Data Lake
•
•
•
• (API)
Data Lake
RDBMS
AWS Data Lake = Amazon S3
Amazon S3
AI & ML
SageMaker
Personalize Forecast
EC2 RDS
RedshiftEBS
Data Backup
Glue
ETL
Archive
Glacier
Rekognition
IoT Core
IoTAthena EMR Redshift
Analytics
BI
QuickSight
3.

Amazon
CloudWatch
Amazon S3Amazon Kinesis
Data Firehose
Amazon
API
Gateway
AWS
Lambda
Amazon
EKS
Amazon
ECS
AWS
Fargate
Amazon
EC2
CloudWatch
Logs Agent
Kinesis
Agent
Browser App
Amazon
CloudFront
ELB
Amazon
RDS
Amazon VPC
Flow Logs
Amazon
Pinpoint
AWS
IoT Core
Logs
AWS
Database
Migration
Service
Database
3.

1. S3
•
•
•
2. S3
• Amazon Redshift
• Amazon Elasticsearch Service
• Amazon Kinesis Data Analytics
Kinesis Data Firehose
Amazon S3Amazon Kinesis
Data Firehose
Amazon
Redshift
Amazon
Elasticsearch
Service
Amazon Kinesis
Data Analytics
2019.03.27
INPUT
3.

Data Lake
Raw Data Transformed Data Enriched Data
ETL
Amazon
Athena
Amazon
EMR
AWS
Glue
3.

AWS Glue
3.
• + ETL
• GUI ETL Spark (Python,
Scala)
•
Athena EMR Redshift Spectrum
• S3 RDS
Redshift
• Glue DPU
10
•
• S3 Redshift
Amazon Redshift
Amazon S3
Amazon RDS
Amazon DynamoDB
Amazon Redshift
Amazon S3
Amazon RDS
Database on EC2
AWS Glue

Amazon Athena
3.
•
• S3
•
• Presto SQL
•
• CTAS ( CREATE TABLE AS)
•
•
Amazon S3
Amazon Athena
SQL
• CSV, TSV
• JSON
• ORC
• Apache Avro
• Apache Parquet
• etc...

Amazon Elastic MapReduce (EMR)
3.
Hadoop
Hadoop
(https://aws.amazon.com/jp/elasticmapreduce/)
•
• API
• (EMRFS) S3
• AWS Kinesis/S3/DynamoDB
•
• CloudWatch Events
•
(https://aws.amazon.com/jp/ elasticmapreduce /pricing/)
• EMR EC2 Hadoop
Amazon EMR Cluster
AWS

Data Lake
Amazon Kinesis
Data Firehose
Raw Data Transformed Data Enriched Data
Amazon RDS
JOIN
ETL
Amazon
Athena
Amazon
EMR
AWS
Glue
ELB
csv → parquet
3.

Query Engine
3. S3
Amazon S3
Amazon
SageMaker
Amazon
Personalize
Amazon
Forecast
Amazon
Athena
Amazon
Redshift
(Spectrum)
Amazon
QuickSight
Amazon
EMR
BI, Dashboard
Redash Apache
Zeppelin
Visualize
Data Access
Data Source
Adhoc
Query Amazon Kinesis
Data Firehose
Amazon
Elasticsearch
Service
(Kibana)
Amazon Kinesis
Data Analytics
Store
2019.03.27
Amazon
Rekognition
3.
ML & AI

§ AWS Black Belt Online Seminar
§ AWS
§ AWS
§ AWS
§ Amazon S3 / Glacier
§ Amazon Kinesis
§ Amazon Athena
§ AWS Glue
§ AWS Summit/Dev Day 2016 | 2017 | 2018
§ Startup Tech Talks: Data Lake (2018)
§ AWS DataLake (2018)
§ (2018)
§ AWS (2017)
§ on AWS (2017)

• !
•
•
• "
•
• #
1.
2.
3.

0.

:
3
24 :
:
.4 24
:
120
:

4.
Amazon Pinpoint Overview
•
•
•
•

1.
D
4.

1.
•
•
•
•
•
•
•
•
•
•

-1.

-1.
•
•

1.

-1.
•
•
•
•
•
•

- A/B1.
21 /
•
A . /
A
/
• B

•
. 1
T
• = . =
A2
.
A 1
• .
5 A

•

" "1.
…

2.
4.

2.
1. Delivery metrics
1. Open rate
2. Delivery rate
3. Users messaged
2. Campaign session
heat map
3. Campaign metrics
1. Sent
2. Delivered
3. Directly opened
4.

2.
1. Delivery metrics
1. Open rate
2. Bounce rate
3. Delivery rate
4. Users messaged
2. Campaign metrics
1. Sent
2. Delivered
3. Clicked
4. Opened
4.

2.
1. Delivery metrics
1. Delivery rate
2. Users messaged
2. Campaign metrics
1. Sent
2. Delivered
4.

:
4.
!
%
%
- 1 - 0

(@see also )
3.
4.

§
§
§
§
§
§
§
§
§
§
§
§

• P
•
•
•
•
•
P
•
https://www.slideshare.net/AmazonWebServicesJapan/amazon-pinpoint-x

• //
• 1 / s
• e
• $ O S
• NS
• n e 1
N K
• JN i
• 1 0
•
https://www.slideshare.net/AmazonWebServicesJapan/amazon-pinpoint-x

• !
•
•
• SaaS
• PC
• Windows
•
• IT
•
•

SaaS
IdP
Amazon
Cognito
SAML, Oauth
1. ID
•
•
•
5.

AWS
Directory Service
(Microsoft AD)
SaaS
IdP
Amazon
Cognito
SAML, Oauth
AWS
Single Sign-On
SaaS
SAML
1. ID
•
•
•
2.
• AWS Directory Service
• Windows
• AWS
• AWS Single Sign-On
AWS Services
Amazon
QuickSight
Amazon
WorkDocs
Amazon
FSx for Win
5.

PC
Amazon
WorkSpaces
WorkSpaces
•
•
•
•
• IP
•
•
•
PC
VPC
Internet
AWS
Directory Service
(Microsoft AD)
Win, Mac, Chromebook
5.

Amazon WorkSpaces Windows 10

IT
AWS Directory Service
(Microsoft AD)
Amazon FSx for
Windows File Server
Amazon Chime
- Business Calling
- Voice Connector
• Microsoft Active Directory
• Active Directory VPN, DX
• WorkSpaces Single Sign-On AWS
• VPC
• Windows
•
•
•
•
• Amazon Chime SMS
• SIP
(us-east-1)
Amazon WorkSpaces
5.

§ AWS Black Belt Online Seminar
§ AWS Directory Service
§ Amazon WorkSpaces
§ AWS FSx for Windows File Server
§ AWS Summit/Dev Day 2016 | 2017 | 2018
§ Amazon WorkSpaces Deep Dive
§ Amazon WorkSpaces
§
§
§ AWS Blog
§ AWS Single Sign-On
§ How to Set Up Federated Single Sign-On to AWS Using Google Apps
§ How to automate SAML federation to multiple AWS accounts from Microsoft Azure Active Directory
§ AWS News
§ Amazon Chime Business Calling / Voice Connector

2019
• 2019
1.
2.
3.
4.
5.
• AWS
• Start-up 2017 2018
AWS Black Belt Online Seminar
• AWS
AWS Loft Ask An Expert

Ask the AWS Startup SAs !!

Startup Day Tech Track Follow-up
5/14( )
5/16( )
5/15( )

Thank you!
Akihiro Tsukada, Yuki Nakatake, Kazuki Matsuda
Startup Solutions Architects from Amazon Web Services Japan K.K.

[AWS Start-up ゼミ] よくある課題を一気に解説！ 御社の技術レベルがアップする 2019 春期講習 補講＆おかわり編

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