- The document discusses Amazon Web Services (AWS) and its various machine learning and artificial intelligence services including Amazon Rekognition for image and video analysis, Amazon Transcribe for speech-to-text, Amazon Polly for text-to-speech, Amazon Comprehend for natural language processing, Amazon Translate for language translation, and Amazon Lex for conversational interfaces. It also discusses AWS deep learning services like Amazon SageMaker for building, training, and deploying machine learning models and AWS DeepLens for deep learning inference on an edge device. Finally, it discusses AWS infrastructure for machine learning including the AWS Deep Learning AMI, EC2 instance types, and GPU-accelerated instances.

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15. •
•
•

16. •
•

22. •
• AWS ↓ J
• xxx AWS IoT
•
• xxx

23. •
• AWS ↓ J
• xxx AWS IoT
•
• xxx
Global “IoT on AWS”
Thank you! 98

25. Search &
Discovery
Fulfilment
& Logistics
Existing
Products
New
Initiatives

26. Alexa
AI

27. Services
Amazon
Rekognition
Image
Platform
CPU IoT Mobile
Frameworks
&
Infrastructure GPU
Amazon
Polly
Amazon
Lex
Amazon
Comprehend
Amazon
Translate
Amazon
Transcribe
Amazon
Rekognition
Video
Amazon EMR
Tensorflow Caffe Torch Theano CNTK KerasMXNet
AWS Deep Learning AMI (Amazon Linux / Ubuntu / Windows)
Chainer
Amazon SageMaker AWS DeepLens

28. Services
Amazon
Rekognition
Image
Platform
CPU IoT Mobile
Frameworks
&
Infrastructure GPU
Amazon
Polly
Amazon
Lex
Amazon
Comprehend
Amazon
Translate
Amazon
Transcribe
Amazon
Rekognition
Video
Amazon EMR
Tensorflow Caffe Torch Theano CNTK KerasMXNet
AWS Deep Learning AMI (Amazon Linux / Ubuntu / Windows)
Chainer
Amazon SageMaker AWS DeepLens

29. Amazon Rekognition
Amazon Rekognition Video
Speech-to-Text Amazon Transcribe
Text-to-Speech Amazon Polly
Amazon Comprehend
Amazon Translate
Amazon Lex

30. •
•
8

31. Services
Amazon
Rekognition
Image
Platform
CPU IoT Mobile
Frameworks
&
Infrastructure GPU
Amazon
Polly
Amazon
Lex
Amazon
Comprehend
Amazon
Translate
Amazon
Transcribe
Amazon
Rekognition
Video
Amazon EMR
Tensorflow Caffe Torch Theano CNTK KerasMXNet
AWS Deep Learning AMI (Amazon Linux / Ubuntu / Windows)
Chainer
Amazon SageMaker AWS DeepLens

32. •
•
•
•
AWS Deep Learning AMI
MXNet TensorFlow Caffe & Caffe2
Theano Cognitive Toolkit Torch
Keras
Nvidia CUDA & cuDNN Python 2 & Python 3
Intel MKL Anaconda
Amazon EC2 (Amazon Linux / Ubuntu)
Chainer

33. •
•
NVIDIA Roadmap
GTC 2017

34. Instance Name vCPUs RAM EBS Bandwidth
Network
Bandwidth
c5.large 2 4 GiB Up to 2.25 Gbps Up to 10 Gbps
c5.xlarge 4 8 GiB Up to 2.25 Gbps Up to 10 Gbps
c5.2xlarge 8 16 GiB Up to 2.25 Gbps Up to 10 Gbps
c5.4xlarge 16 32 GiB 2.25 Gbps Up to 10 Gbps
c5.9xlarge 36 72 GiB 4.5 Gbps 10 Gbps
c5.18xlarge 72 144 GiB 9 Gbps 25 Gbps

35. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Amazon Personalize
Amazon.com

36. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark

37. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Amazon Personalize
Amazon Personalize

38. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Amazon Personalize

39. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Your web
server
Browser

40. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark

41. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Amazon Forecast
Amazon.com

42. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
AWS

47. AWS AppSync
Amazon
DynamoDB
AWS
Lambda
ElasticSearch
subscriptions
/graphql
Resolvers
DataSources

48. GraphQL
/posts
/postInfo
/postJustTitle
/postsByAuthor
/postNameStartsWithX
/commentsOnPost

55. • AWS Lambda Ruby
•
ü Python 2.7, 3.6, 3.7
ü Node.js 4.3, 6.10, 8.10
ü .NET Core 1.0(C#), 2.0(C#), 2,1(C#/PowerShell)
ü Go 1.x
ü Java 8
ü Ruby
•
Lambda Function

56. • 2.7/3.6
3.7
• Lambda

57. • Lambda Function
Lambda Layer
• 1 Function 5 Layer
Layer ZIP
•
Layer

58. • AWS SAM AWS Serverless Application Repository
•
• CloudFormation
SAM
AWS:Serverless:Application

59. • ALB Lambda
Lambda
HTTP
• Web Lambda
• ALB
• ALB Lambda

60. • Step Functions AWS
Lambda
ü DynamoDB: item item
ü AWS Batch:
ü Amazon ECS/Fargate: ECS Fargate
ü Amazon SNS: SNS
ü Amazon SQS:
ü AWS Glue:
ü Amazon SageMaker:

61. •
KVM
VM
• Lambda Fargate
• 125ms
VM 5MiB
•
https://github.com/firecracker-microvm/firecracker

63. https://d1.awsstatic.com/International/ja_JP/Whitepapers/MicroservicesOnAWS-V2_NT0829_SMO_MJ_EditSM_ProofSM_ProofNT.pdf

64. https://www.youtube.com/watch?v=vJZJY_t8JDEhttps://d1.awsstatic.com/events/jp/2017/summit/slide/D3T6-4.pdf

66. “Microservice architectures will use libraries, but
their primary way of componentizing their own
software is by breaking down into services”
https://martinfowler.com/articles/microservices.html

67. Lyft's Envoy: From Monolith to Service Mesh - Matt Klein, Lyft
- Circuit Breaking

68. The breakdown
• Move to microservices ( 75 )
•
• Pure DevOps
• DevOps
• Reliability consultants
•
• Lack of education
•
• Support breakdown
•
• Burnout ( 100 300 )
• DevOps
https://qiita.com/seikoudoku2000/items/ab8da70b7237d5930f34

69. Lyft's Envoy: From Monolith to Service Mesh - Matt Klein, Lyft
https://www.youtube.com/watch?v=RVZX4CwKhGE
Envoy

70. •

72. •

73. •

75. •

76. •

77. •

78. •

81. 1. aws servicediscovery discover-
instances –namespace-name mydata.aws
--service-name mydynamodb
--query-parameters VERSION=1.0,
STAGE=beta
-->{ARN=arn:aws:dynamodb:us-west-
2:123456789012:table/users,
STAGE=beta, VERSION=1.0,
READ_ONLY=false}
2. aws servicediscovery discover-
instances –namespace-name mydata.aws
--service-name mydynamodb
--query-parameters VERSION=2.0
-->{}
Version: 1.0
Stage: prod
Version: 1.0
Active: yes
Stage: test
Version: 1.0
Active: yes
Stage: test
Version: 2.0
Active: yes
Stage: Prod
Stage: prod
Version: 2.0
Active: no
Version: 2.0
Active: yes

83. •
•
•
•
•
•
•

84. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Virtual Node
B1
Mesh
Service A
Service B
Service C
Virtual
router
Virtual
router
Service D
Virtual
router

85. •
•
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•
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•

87. ⇒ AWS

89. “AWS Well-Architected Framework( W-A)” AWS
10
“ ” W-A
W-A Well-Architected
Tool

91. Cyber Agent Infinity Ventures Summit
AWS re:Invent