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AWS re:INVENT 2017
@andrefaria
6º Reinvent
A Bluesoft esteve presente em todos eles!
13.000
Sessions
43.000+
attendees
Expo
Recap
Amazon 101
Antes do Cloud
Cloud Computing is on-demand delivery
of compute power, database storage,
applications and other IT resources
through a cl...
no upfront investments
no hardware management
low cost
scalable
capex vs opex
no capacity guessing
increased speed and agi...
IaaS - Infrastructure
networking, computers, storage (EC2)
PaaS - Platform
management layer, patching (RDS)
SaaS - Softwar...
Global Infrastructure
more than 1M customers in 190 countries
low latency and higher throughput
42 AZs - 16 regions
AWS Management Console
Simple and Intuitive User Interface
AWS Command Line Interface (CLI) AWS SDKs
EC2 - Amazon Elastic Compute Cloud
On-Demand
pay by the hour
Reserved
up to 75% for upfront payment
Spot
bid on spare capa...
ECS - Ec2 Container Service
ECS
Container Management
Run Containers Clusters on EC2 instances
ECR
Container Registry
Store...
Compute Services
AWS Batch
plan, schedule, and run batch
computing jobs on AWS - it
automatically provision resources
(cpu...
Compute Services
AWS Lambda
run code without provisioning or
maintaining servers, pay only for
compute time you consume
El...
Compute and Storage Services
Amazon S3 and Glacier
S3 is an object storage designed
to have 99.999999999% durability
Glaci...
Storage Services
Elastic File System
Simple scalable file storage to
use with EC2. Storage is
elastic and can grow or shrin...
Storage and Database Services
Aurora
MySQL and Postgres compatible
relational database that
combines speed an availability...
Database Services
Amazon Dynamo DB
fast and flexible NoSQL DB for
consistent, single-digit
millisecond latency at any scale...
Database and Networking Services
Amazon VPC
provision a logically isolated
section for the cloud to launch
resources (ip r...
Networking Services
Route 53
Highly available and scalable
DNS Web Service - translates
domains in IPS addresses
AWS Cloud...
Networking and Developer Services
AWS Code Commit
Fully Managed Source Control
Service to host private Git
Repos.
Elastic ...
Developer Services
AWS Code Deploy
Automates code deployments to
any instance
AWS Code Build
Fully Managed Build Services ...
Developer Services
AWS X-Ray
analyse and debug apps with
end-to-end view of requests and
a map of components.
AWS Code Pip...
Management Tools
AWS Systems Manager
collect inventory, apply patches,
create images, configure and
run commands.
Amazon Cl...
Management Tools
AWS Cloud Trail
records API calls for your
account and delivers log files
AWS Cloud Formation
Create and m...
Management Tools
AWS OpsWorks
Configuration Management
Service that uses Chef or
Puppet to automate how servers
are configur...
Management Tools
AWS Services Catalog
Create and manage catalogs of
IT services that are approved for
use on AWS
AWS Config...
Management Tools
Amazon Inspector
Amazon Inspector automatically
assesses applications for
vulnerabilities or deviations
f...
Management and Analytics Tools
Amazon Athena
is an serverless interactive
query service that makes it easy
to analyze data...
Analytics Tools
Amazon CloudSearch
managed search solution for
websites and applications
Amazon Elasticsearch
managed Elas...
Kinesis
Kinesis Firehose
capture, transforms and load
streaming data into s3, redshift,
kinesis analytics for real time
an...
Analytics
Amazon QuickSight
cloud business analytics service
that makes it easy to build
visualizations, perform ad-hoc
an...
ETL
AWS Glue
fully managed ELT service that
makes it easy to move data
between data stores.
Disponibiliza um serviço ETL
g...
IA
Amazon Polly
turns text into Speech
Amazon Rekognition
image analysis
Amazon LEX
building conversational interfaces
int...
IA and Mobile
AWS Mobile Hub
quickly create and configure
mobile app backends features
and integrate them to the mobile
app...
IA and Mobile
AWS Mobile Hub
quickly create and configure
mobile app backends features
and integrate them to the mobile
app...
Mobile and Application Services
Simple Workflow Service
developers build, run, and scale
background jobs that have parallel...
Messaging and App Streaming
Amazon Workspaces
fully managed desktop computing
service
Amazon AppStream 2.0
store your app ...
IoT
AWS IoT
connect devices to AWS
AWS Greengrass
run local compute, lambda,
messaging, caching, syncing for
connected dev...
back to re:INVENT
first
keynote
$18B+ revenue run rate
42% growth rate
AWS 44% of the public cloud marketshare
(more than all other competitors combined)
...
Pace of Innovation
2016 1000+ Features
2017 1300+ Features
What builders really want?
6 songs
second
keynote
Voice is next big disruption
it’s a natural interface
how you interact with people?
Security is everyone’s job
Encryption is not only faster and more efficient now.
There’s really no excuse not to encrypt yo...
Dance like no one is watching
Encrypt like everyone is
Trusted Advisor
Inspector (app level)
GuardDuty (network level plus IA)
Serverless
Product Launch
Amazon Elastic Container Service for Kubernetes (EKS)
Go and .NET Support
Product Launch
AWS Serverless Application Repository
Publish and Find Lambdas to use
AI
AI
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Vision Speech LanguageServices
Platforms
Fram...
AWS DeepLens
A camera fully loaded with onboard compute power optimized for deep learning
Amazon Sagemaker
- prebuilt notebooks that solve common problems in machine learning
- 10 algorithms to address problems
-...
Amazon Rekognition
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Rekognition
Extract ri...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Maple
Villa
Bushes
Grass
Tree
House
Window
Sky
M...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Demographic Data
Facial Landmarks
Sentiment Expr...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Facial Analysis
Image Quality
Facial Landmarks
D...
AWS Rekognition Video
process real-time and batch video to detect objects, people, activities, and more
- detect inappropr...
Amazon Kinesis Video Streams
its real time streaming capabilities for video
- integrates with Rekognition video (as an inp...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
http://amzn.to/takeselfie
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
End-to-End Architecture
SELECT
STREAM COUNT(*) A...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Rekognition Case Study
W a s h i n g t o ...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Real-world example
© 2017, Amazon Web Services, ...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Unlimited
replays
Returns an MP3
or audio stream...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Lex
Conversational interfaces for your ap...
Amazon Transcribe
converts speech to text
Amazon Translate
it translates text from one language to another
use batches of text from S3
it boasts real-time translati...
Amazon Comprehend
fully managed natural language processing service
Provide data from your lake (S3) via an API
then Compr...
Amazon Comprehend
Customer Voice
Content Recommendation
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
The Alexa Family
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
“Book a hotel”
Book hotel
NYC
“Book a hotel in
N...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Lex
Utterances
Spoken or typed phrases th...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Lex—create a bot
1
2
Define sample
uttera...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
2
3
Confirm
transaction
Fulfill transaction
1
El...
Alexa for Business
Alexa for Business is a fully managed service for
Alexa voice-controlled devices at work.
just say, “Al...
Tools
Mobile
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
MOBILE INDUSTRY TRENDS
Time spent in apps
and gr...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
THREE SIMPLE STEPS
1. Pick a Platform
Mobile Hub...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
MOBILE CLI: SETTING UP CLOUD SERVICES
> awsmobil...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
APP DATA: HARD PROBLEMS REMAIN
Data requirements...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS AppSync
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
START BUILDING FAST
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
EASY ACCESS TO RICH DATA
{
"id": "1",
"name": "G...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
INTEGRATE WITH YOUR APPLICATION
AWS Amplify
AWS Amplify is a JavaScript library for frontend and mobile
developers building cloud-enabled applications.
Th...
Networking
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Load balancer used to
route incoming requests
to...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Application Load Balancer Network Load Balancer ...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
For TCP in VPC, use Network Load Balancer.
For a...
Data
Aurora Multi-Master
Aurora Serverless
Database starts up on demand, shuts down when it’s not in use…
when it is in use, you’re billed by the s...
DynamoDB Global Tables
The first fully managed, multi-master, multi-region
database system in the world
DynamoDB On-Demand Backup
create backups (and restore them) with one click or API call
Amazon Neptune
Neptune is a fully managed graph database service
store billions of records will millisecond latency
S3 Select and Glacier Select
Good for Data Lakes
pull out only the data you need using an API to pull only specific parts o...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon S3 By The Numbers
44 Availability Zones
(...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon S3 Availability Zones
S3 stores data in a...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon S3 Storage Classes
& T ra n sitio n s
S3 ...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon S3 Security, Encryption & Compliance
T he...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Do More With Your In-place Data
• Athena
• Redsh...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Enter Data Lake Architectures
Data lake is a new...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Benefits of a Data Lake—All Data is in One Place...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Designed for 11 9s
of durability
Designed for
99...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS Direct Connect AWS Snowball ISV Connectors
A...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Building a Data Lake on AWS
Kinesis Firehose
Ath...
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Processing and Analytics
Real-time Batch
AI and ...
IoT
IoT is about…
“closing the gap between the physical and digital
world in self-reinforcing and self-improving systems.”
AWS IoT 1-Click
AWS IoT Device Management
IoT Device Management is similar to 1-Click, but at a larger scale.
Onboard, deploy, and manage ...
AWS IoT Device Defender
Many of the attacks we’ve seen in recent years have
utilized unsecured IoT devices.
Device Defende...
AWS IoT Analytics
Traditionally, IoT devices pick up a lot of “noisy” data, like
temperature and humidity, resulting in ra...
AWS FreeRTOS
While larger devices often come with a full onboard CPU, smaller ones tend
to use an MCU (micro controller un...
AWS GreenGrass
Execute funções lambda nos dispositivos com segurança usando recursos
locais de computação, sistema de mens...
AWS GreenGrass Exemplo
You have a collection of IoT sensors deployed in the field, along with a
GreenGrass device. Rather t...
AWS GreenGrass
Machine Learning Inference
GreenGrass device still operates the same way – at the edge of your network.
But...
Obrigado!@andrefaria - andrefaria.com
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
Bluesoft @ AWS re:Invent 2017 + AWS 101
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Bluesoft @ AWS re:Invent 2017 + AWS 101

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In this presentation André Faria, CEO at Bluesoft, presented to his team a introduction to the AWS ecosystem and talked about all the new announcements AWS have made in the event AWS re:Invent 2017 that took place in Las Vegas.

Published in: Technology

Bluesoft @ AWS re:Invent 2017 + AWS 101

  1. 1. AWS re:INVENT 2017 @andrefaria
  2. 2. 6º Reinvent A Bluesoft esteve presente em todos eles!
  3. 3. 13.000 Sessions 43.000+ attendees
  4. 4. Expo
  5. 5. Recap
  6. 6. Amazon 101
  7. 7. Antes do Cloud
  8. 8. Cloud Computing is on-demand delivery of compute power, database storage, applications and other IT resources through a cloud services platform via the Internet with pay-as-you-go pricing.
  9. 9. no upfront investments no hardware management low cost scalable capex vs opex no capacity guessing increased speed and agility focus on core activities
  10. 10. IaaS - Infrastructure networking, computers, storage (EC2) PaaS - Platform management layer, patching (RDS) SaaS - Software end user apps (Amazon WorkDocs)
  11. 11. Global Infrastructure more than 1M customers in 190 countries low latency and higher throughput 42 AZs - 16 regions
  12. 12. AWS Management Console Simple and Intuitive User Interface
  13. 13. AWS Command Line Interface (CLI) AWS SDKs
  14. 14. EC2 - Amazon Elastic Compute Cloud On-Demand pay by the hour Reserved up to 75% for upfront payment Spot bid on spare capacity
  15. 15. ECS - Ec2 Container Service ECS Container Management Run Containers Clusters on EC2 instances ECR Container Registry Store, Manage, and Deploy Containers
  16. 16. Compute Services AWS Batch plan, schedule, and run batch computing jobs on AWS - it automatically provision resources (cpu, memory, spot, etc.) no need to manage servers clusters to run your jobs Amazon Lightsail laugh virtual private servers
  17. 17. Compute Services AWS Lambda run code without provisioning or maintaining servers, pay only for compute time you consume Elastic Beanstalk run Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Apache, Nginx, Tomcat, Passenger, and Internet Information Services (IIS).
  18. 18. Compute and Storage Services Amazon S3 and Glacier S3 is an object storage designed to have 99.999999999% durability Glacier is a extremely low cost storage for archiving and long- term backup. AWS Autoscaling Ensure that your are running the desired number of EC2 Instances, and increases instances if demand increases
  19. 19. Storage Services Elastic File System Simple scalable file storage to use with EC2. Storage is elastic and can grow or shrink automatically as you add and remove files. AWS EBS Persistent block storage volumes to use with EC2, automatically replicated within the AZ. Best for low latency storage.
  20. 20. Storage and Database Services Aurora MySQL and Postgres compatible relational database that combines speed an availability of high-end comercial databases for 1/10 of the cost. AWS Storage Gateway Hybrid Storage between on premisses and cloud
  21. 21. Database Services Amazon Dynamo DB fast and flexible NoSQL DB for consistent, single-digit millisecond latency at any scale, support both document and key- value storage. Amazon RDS Managed Aurora, PostgreSQL, MySQL, MariaDB, Oracle, Microsoft SQL Server.
  22. 22. Database and Networking Services Amazon VPC provision a logically isolated section for the cloud to launch resources (ip ranges, subnets, routes, route tables). Amazon ElastiCache Managed InMemory Database. Supports Redis and Memcached.
  23. 23. Networking Services Route 53 Highly available and scalable DNS Web Service - translates domains in IPS addresses AWS Cloud Front Global Content Delivery Network (CDN) that accelerates delivery for websites, APIs, video, or other assets, routing automatically to the nearest edge location.
  24. 24. Networking and Developer Services AWS Code Commit Fully Managed Source Control Service to host private Git Repos. Elastic Load Balancing ELB automatically distributes incoming application traffic across multiple EC2 instances enabling fault-tolerance and scaling.
  25. 25. Developer Services AWS Code Deploy Automates code deployments to any instance AWS Code Build Fully Managed Build Services that compile source code, run tests and produces software packages that ready to deploy
  26. 26. Developer Services AWS X-Ray analyse and debug apps with end-to-end view of requests and a map of components. AWS Code Pipeline Continuous Integration and Continuous Delivery
  27. 27. Management Tools AWS Systems Manager collect inventory, apply patches, create images, configure and run commands. Amazon CloudWatch Monitoring Resources and Apps
  28. 28. Management Tools AWS Cloud Trail records API calls for your account and delivers log files AWS Cloud Formation Create and manage a collection of AWS resources, providing and updating
  29. 29. Management Tools AWS OpsWorks Configuration Management Service that uses Chef or Puppet to automate how servers are configured, deposed and manger across EC2 instances. AWS Config Full Managed service that provides an AWS resource inventory, config history, config change notifications and rules evaluations
  30. 30. Management Tools AWS Services Catalog Create and manage catalogs of IT services that are approved for use on AWS AWS Config Full Managed service that provides an AWS resource inventory, config history, config change notifications and rules evaluations
  31. 31. Management Tools Amazon Inspector Amazon Inspector automatically assesses applications for vulnerabilities or deviations from best practices. AWS IAM control access to AWS services and resources for your users
  32. 32. Management and Analytics Tools Amazon Athena is an serverless interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. 94 Athena is serverless. You pay only for the queries that you run. AWS IAM control access to AWS services and resources for your users
  33. 33. Analytics Tools Amazon CloudSearch managed search solution for websites and applications Amazon Elasticsearch managed Elasticsearch Amazon EMR managed service to run Hadoop, Spark, HBase, Presto, and Flink workloads that in a easy, fast, and cost-effective fashion to process vast amounts of data across dynamically scalable Amazon EC2 instances.
  34. 34. Kinesis Kinesis Firehose capture, transforms and load streaming data into s3, redshift, kinesis analytics for real time analytics Kinesis Analytics process streaming data in real time with standard SQL without having to learn new languages or processing frameworks - run queries continuously Kinesis platform for collecting, storing and analysing streaming data - you can load terrabytes of data per hour from IoT devices, mobile apps, etc. Kinesis offers 3 services. Kinesis Streams continuously capture and store treats of data per hour from thousands for sources
  35. 35. Analytics Amazon QuickSight cloud business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights. Amazon Redshift fast, fully managed, petabyte - scale data warehouse that makes it simple and cost - effective to analyze all your data using your existing business intelligence tools.
  36. 36. ETL AWS Glue fully managed ELT service that makes it easy to move data between data stores. Disponibiliza um serviço ETL gerenciado, executado em um ambiente Apache Spark sem servidor. Para não Spark, Hive, Pig, etc. usar Data Pipeline Amazon Data Pipeline Move data between different AWS compute and storage services. Access, Transform and Process at Scale and Store Results. Serviço de orquestração com flexibilidade de ambiente de execução, do acesso e do controle sobre os recursos que executam código, bem como sobre o próprio código responsável pelo processamento dos dados.
  37. 37. IA Amazon Polly turns text into Speech Amazon Rekognition image analysis Amazon LEX building conversational interfaces into any application using voice and text
  38. 38. IA and Mobile AWS Mobile Hub quickly create and configure mobile app backends features and integrate them to the mobile app Amazon Cognito serverless identity service Amazon Pinpoint target campaigns to drive user engagement (e-mails, SMS, push notifications) Machine Learning makes it easy for developers of all skill levels to use machine learning technology. Provides visualisation tools and wizards that guide you through the process of creating machine learn ing models Amazon Device Farm test apps on many devices at once (Android, iOS and web)
  39. 39. IA and Mobile AWS Mobile Hub quickly create and configure mobile app backends features and integrate them to the mobile app Amazon Cognito serverless identity service Amazon Pinpoint target campaigns to drive user engagement (e-mails, SMS, push notifications) Machine Learning makes it easy for developers of all skill levels to use machine learning technology. Provides visualisation tools and wizards that guide you through the process of creating machine learn ing models Amazon Device Farm test apps on many devices at once (Android, iOS and web)
  40. 40. Mobile and Application Services Simple Workflow Service developers build, run, and scale background jobs that have parallel or sequential steps (like Step functions but no visual and more control of your logic) Amazon API Gateway create, publish, maintain and monitor secure APIs at scale Mobile Analytics measure app usage and revenue AWS Step Functions coordinate componentes of distributed applications and micro services using visual workflows
  41. 41. Messaging and App Streaming Amazon Workspaces fully managed desktop computing service Amazon AppStream 2.0 store your app from AWS to any device running in a web browser Amazon SQS managed queuing service Amazon SNS push notification service Amazon SES send e-mails
  42. 42. IoT AWS IoT connect devices to AWS AWS Greengrass run local compute, lambda, messaging, caching, syncing for connected devices AWS ioT Button programable button (Dash alike)
  43. 43. back to re:INVENT
  44. 44. first keynote
  45. 45. $18B+ revenue run rate 42% growth rate AWS 44% of the public cloud marketshare (more than all other competitors combined) Millions of Active Customers airbnb, slack, intercom, pinterest, sony, go pro, johson, pfizer, GE, philps, siemens, netflix, disney, hbo, discovery, fox, kellogs, coca cola, samsung, LG 3000 government agencies 8000 academic institutions
  46. 46. Pace of Innovation 2016 1000+ Features 2017 1300+ Features
  47. 47. What builders really want? 6 songs
  48. 48. second keynote
  49. 49. Voice is next big disruption it’s a natural interface how you interact with people?
  50. 50. Security is everyone’s job Encryption is not only faster and more efficient now. There’s really no excuse not to encrypt your data.
  51. 51. Dance like no one is watching Encrypt like everyone is
  52. 52. Trusted Advisor
  53. 53. Inspector (app level)
  54. 54. GuardDuty (network level plus IA)
  55. 55. Serverless
  56. 56. Product Launch Amazon Elastic Container Service for Kubernetes (EKS)
  57. 57. Go and .NET Support
  58. 58. Product Launch AWS Serverless Application Repository Publish and Find Lambdas to use
  59. 59. AI
  60. 60. AI © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Vision Speech LanguageServices Platforms Frameworks Infrastructure Amazon ML Spark & EMR Kinesis Mechanical Turk Amazon ECS Amazon Batch AWS Deep Learning AMI Apache MXNet TensorFlow Caffe2 & Caffe Theano Keras Cognitive Toolkit PyTorch GPU CPU IoT (Greengrass) Mobile Gluon
  61. 61. AWS DeepLens A camera fully loaded with onboard compute power optimized for deep learning
  62. 62. Amazon Sagemaker - prebuilt notebooks that solve common problems in machine learning - 10 algorithms to address problems - Import your own if you need a custom solution - “one-click training” specify the location of your dataset in S3, choose an instance type to run the computation, and Sagemakers does all the heavy lifting, setting up the algorithms to run your training. - “one-click-deploy“ set the instance type and minimum/maximum numbers for your cluster and Sagemaker then gives you secure endpoints to connect to your app.
  63. 63. Amazon Rekognition © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Rekognition Extract rich metadata from visual content Object and Scene Detection Facial Analysis Face Comparison Facial Recognition Celebrity recognition Image moderation Text in Image
  64. 64. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Maple Villa Bushes Grass Tree House Window Sky Mountain Range Forest Clouds Object and scene detection makes it easy for you to add features that search, filter, and curate large image libraries. Identify objects and scenes and provide confidence scores DetectLabelsObject & Scene Detection
  65. 65. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Demographic Data Facial Landmarks Sentiment Expressed Image Quality Brightness: 23.6 Sharpness: 99.9 General Attributes Facial Analysis DetectFaces Analyze facial characteristics in multiple dimensions Smiling 99.1% Female 100% Mouth Closed 99.5% Age Range 26 – 43 years old Crowd Mode
  66. 66. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Facial Analysis Image Quality Facial Landmarks Demographic Data Emotion Expressed General Attributes Facial Pose Brightness 23.6% Sharpness 99.9% EyeLeft,EyeRight,Nose RightPupil,LeftPupil MouthRight,LeftEyeBrowUp Bounding Box... Age Range 29-45 Gender:Male 96.5% Happy 83.8% Surprised 0.65% Smile:True 23.6% EyesOpen:True 99.8% Beard:True 99.5% Mustache:True 99.9%... Pitch 1.446 Roll 5.725 Yaw 4.383 DetectFaces
  67. 67. AWS Rekognition Video process real-time and batch video to detect objects, people, activities, and more - detect inappropriate content - check surveillance footage for missing people - continually trained, gets “smarter” as more people use it
  68. 68. Amazon Kinesis Video Streams its real time streaming capabilities for video - integrates with Rekognition video (as an input source) - SDK that manufacturers can use to integrate it directly into their devices
  69. 69. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. http://amzn.to/takeselfie
  70. 70. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. End-to-End Architecture SELECT STREAM COUNT(*) AS MUSTACH_COUNT, STEP(ROWTIME BY INTERVAL '1' SECOND) FROM SOURCE_STREAM WHERE HAS_MUSTACH = TRUE; Amazon Kinesis Stream Amazon Kinesis Analytics Amazon Cognito Amazon Kinesis Stream Amazon DynamoDB Amazon Lambda Amazon S3 JavaScript SDK Amazon Rekognition Amazon Kinesis Firehose Amazon S3
  71. 71. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Rekognition Case Study W a s h i n g t o n C o u n t y S h e r i f f ’ s O f f i c e Chris Adzima Washington County Sheriff’s Office Chris_adzima@co.washington.or.us
  72. 72. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Real-world example © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. The solution © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Real-world example
  73. 73. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 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 Potential use cases Content creation Education and E-learning Mobile and desktop applications Customer contact center Internet of Things (IoT) Accessibility
  74. 74. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Lex Conversational interfaces for your applications, powered by the same natural language understanding (NLU) and automatic speech recognition (ASR) models as Alexa Integrated development in AWS console Trigger AWS Lambda functions Multi-step conversations Continually improving ASR and NLU models Enterprise connectors Fully managed Potential use cases Appointment booking Customer support (Contact Center bots) Informational services Access enterprise data Internet of Things (IoT)
  75. 75. Amazon Transcribe converts speech to text
  76. 76. Amazon Translate it translates text from one language to another use batches of text from S3 it boasts real-time translation
  77. 77. Amazon Comprehend fully managed natural language processing service Provide data from your lake (S3) via an API then Comprehend will provide four elements for analysis: 1 Entities – Things like people, dates, and specific places 2 Key phrases – Comprehend picks out the “most important” sets of words 3 Language – Automatic detection of the language used 4 Sentiment – Is the text saying something positive or negative?
  78. 78. Amazon Comprehend
  79. 79. Customer Voice
  80. 80. Content Recommendation
  81. 81. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. The Alexa Family
  82. 82. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. “Book a hotel” Book hotel NYC “Book a hotel in NYC” Automatic speech recognition Hotel booking New York City Natural language understanding Intent/slot model UtterancesHotel booking City New York City Check In April 19 Check Out April 21 “Your hotel is booked for April 19” Amazon Polly Confirmation: “Your hotel is booked for April 19” “Can I go ahead with the booking?” a in
  83. 83. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Lex Utterances Spoken or typed phrases that invoke your intent BookHotel Intents An intent performs an action in response to natural language user input Slots Slots are input data required to fulfill the intent Fulfillment Fulfillment mechanism for your intent
  84. 84. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Lex—create a bot 1 2 Define sample utterances Define slots Create bot
  85. 85. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 2 3 Confirm transaction Fulfill transaction 1 Elicit information Interact with bot Amazon Lex—interact with a bot
  86. 86. Alexa for Business Alexa for Business is a fully managed service for Alexa voice-controlled devices at work. just say, “Alexa, start the meeting.”
  87. 87. Tools
  88. 88. Mobile
  89. 89. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. MOBILE INDUSTRY TRENDS Time spent in apps and growing 1.6T hours Source: AppAnnie New enterprise apps built with web technologies 50%+ Source: AWS JavaScript – most commonly used programming language 66.7%▲ Source: Stack Overflow
  90. 90. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. THREE SIMPLE STEPS 1. Pick a Platform Mobile Hub 2. Set Up Cloud Services Native SDKs 3. Connect Your App Mobile CLI AWS Amplify
  91. 91. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. MOBILE CLI: SETTING UP CLOUD SERVICES > awsmobile init > awsmobile user-signin enable Initialize your app Enable User Sign-in Supported services: • user-signin (Amazon Cognito) • analytics (Amazon Pinpoint) • database (Amazon DynamoDB) • user-files (Amazon S3) • cloud-api (API GW & AWS Lambda) Web app deployment support: • hosting (Amazon S3 and Amazon CloudFront)
  92. 92. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. APP DATA: HARD PROBLEMS REMAIN Data requirements vary across devices and become harder when multiple users share data Users want instant access to data Building scalable data-driven apps without learning distributed systems concepts is hard Users want to continue using their apps even with low or no connectivity
  93. 93. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. AWS AppSync
  94. 94. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. START BUILDING FAST
  95. 95. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. EASY ACCESS TO RICH DATA { "id": "1", "name": "Get Milk", "priority": "1" }, "id": "2", "name": "Go to gym", "priority": "5" },… type Query { getTodos: [Todo] } type Todo { id: ID! name: String description: String priority: Int duedate: String } query { getTodos { id name priority } } Model data with application schema Client requests what it needs Only that data is returned
  96. 96. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. INTEGRATE WITH YOUR APPLICATION
  97. 97. AWS Amplify AWS Amplify is a JavaScript library for frontend and mobile developers building cloud-enabled applications. The library is a declarative interface across different categories of operations in order to make common tasks easier to add into your application. "I was able to use AWS Cognito to integrate a full-featured authentication system, including email signup verification and MFA, into a React application with less than 10 lines of code, in about 20 minutes. That time would have been drastically less if I had already created a user pool beforehand."
  98. 98. Networking
  99. 99. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Load balancer used to route incoming requests to multiple Amazon EC2 instances, containers, or IP addresses in your VPC. ELB EC2 Instance EC2 Instance EC2 Instance
  100. 100. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Application Load Balancer Network Load Balancer Classic Load Balancer Protocol HTTP, HTTPS, HTTP/2 TCP TCP, SSL, HTTP, HTTPS SSL offloading ✔ ✔ IP as Target ✔ ✔ Path-based routing, Host-based routing ✔ Static IP ✔ WebSockets ✔ ✔ Container Support ✔ ✔
  101. 101. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. For TCP in VPC, use Network Load Balancer. For all other use cases in VPC , use Application Load Balancer For Classic networking, use Classic Load Balancer
  102. 102. Data
  103. 103. Aurora Multi-Master
  104. 104. Aurora Serverless Database starts up on demand, shuts down when it’s not in use… when it is in use, you’re billed by the second.
  105. 105. DynamoDB Global Tables The first fully managed, multi-master, multi-region database system in the world
  106. 106. DynamoDB On-Demand Backup create backups (and restore them) with one click or API call
  107. 107. Amazon Neptune Neptune is a fully managed graph database service store billions of records will millisecond latency
  108. 108. S3 Select and Glacier Select Good for Data Lakes pull out only the data you need using an API to pull only specific parts of an object
  109. 109. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon S3 By The Numbers 44 Availability Zones (16 more coming in 2018) 16 Regions (5 more coming in 2018) Trillions of objects Millions of requests per second One of first three AWS Services (2006) 99.999999999% Durability
  110. 110. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon S3 Availability Zones S3 stores data in at least 3 Availability Zones (AZ’s) Each AZ can be up to 8 physical data centers Unavailability of a data center or an AZ does not impact overall S3 availability Low latency private network connect data centers and AZ’s Physically separate – even extremely uncommon disasters would only affect a single AZ Data is automatically distributed across a minimum of 3 AZ’s GEO separated within an AWS Region
  111. 111. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon S3 Storage Classes & T ra n sitio n s S3 Standard S3 Standard – Infrequent Access Amazon Glacier Active data Synchronous access Milliseconds retrieval 2.1¢-GB/mo Archive data Asynchronous access Minutes-to-hours retrieval 0.4¢-GB/mo Infrequently accessed data Synchronous access Milliseconds retrieval 1.25¢-GB/mo
  112. 112. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon S3 Security, Encryption & Compliance T he b roade st se t of tools in the indu stry Security • IAM and Bucket Policies • Access Control Lists • Audit logging with CloudTrail & Alerts with CloudWatch • Secure CloudFormation templates • Amazon Macie • S3 Console Permission Checks Encryption • Encryption in transit with TLS • SSE-S3 – Amazon S3 manages data & keys • SSE-C – Customer managed keys • SSE-KMS – Master keys in KMS • CSE – 100% Customer managed • Default Bucket Encryption • Encryption Status in Inventory Compliance • PCI-DSS • HIPAA/HITECH • FedRAMP • FISMA • EU Data Protection Directive
  113. 113. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Do More With Your In-place Data • Athena • Redshift Spectrum • QuickSight • EMR Data Lake Storage IoT Storage Machine Learning & AI Storage • AWS IoT • Greengrass • Other IoT sensors • Rekognition • LEX • Polly • MXNet & TensorFlow
  114. 114. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Enter Data Lake Architectures Data lake is a new and increasingly popular architecture to store and analyze massive volumes and heterogeneous types of data
  115. 115. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Benefits of a Data Lake—All Data is in One Place Analyze all of your data, from all of your sources, in one stored location “Why is the data distributed in many locations? Where is the single source of truth?”
  116. 116. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Designed for 11 9s of durability Designed for 99.99% availability Durable Available High performance Multiple upload Range GET Scalable throughput Store as much as you need Scale storage and compute independently No minimum usage commitments Scalable Amazon EMR Amazon Redshift Spectrum Amazon DynamoDB Amazon Athena AWS Glue Amazon Rekognition Amazon Macie Integrated Simple REST API AWS SDKs Simple management tools Event notification Lifecycle policies Easy to use Why Amazon S3 for a Data Lake?
  117. 117. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. AWS Direct Connect AWS Snowball ISV Connectors Amazon Kinesis Firehose Amazon S3 Transfer Acceleration AWS Storage Gateway Data Ingestion into Amazon S3
  118. 118. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Building a Data Lake on AWS Kinesis Firehose Athena Query Service
  119. 119. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Processing and Analytics Real-time Batch AI and Predictive BI and Data Visualization Transactional and RDBMS AWS Lambda Apache Storm on EMR Apache Flink on EMR Spark Streaming on EMR Elasticsearch Service Kinesis Analytics, Kinesis Streams DynamoDB NoSQL DB Relational Database Aurora EMR Hadoop, Spark, Presto Amazon Redshift Data Warehouse Amazon Athena Query Service Amazon Lex Speech recognition Amazon Rekognition Amazon Polly Text to speech Machine Learning Predictive analytics Kinesis Streams and Firehose
  120. 120. IoT
  121. 121. IoT is about… “closing the gap between the physical and digital world in self-reinforcing and self-improving systems.”
  122. 122. AWS IoT 1-Click
  123. 123. AWS IoT Device Management IoT Device Management is similar to 1-Click, but at a larger scale. Onboard, deploy, and manage your fleet of devices all from a single location. Organize inventory, query the fleet for troubleshooting, and remotely deploy updates take action on subsets of your devices, not just all of them at once
  124. 124. AWS IoT Device Defender Many of the attacks we’ve seen in recent years have utilized unsecured IoT devices. Device Defender allows you to set device policies, audit them, and monitor behaviours on an individual level to identify anomalies and out-of-compliance behaviours Send you automatic alerts when it detects a problem
  125. 125. AWS IoT Analytics Traditionally, IoT devices pick up a lot of “noisy” data, like temperature and humidity, resulting in raw, unstructured information that’s very difficult to process.
  126. 126. AWS FreeRTOS While larger devices often come with a full onboard CPU, smaller ones tend to use an MCU (micro controller unit) and they do still need an operating system. Amazon has created their own version of FreeRTOS (a commonly used OS in these devices), and it’s got some awesome features. Amazon FreeRTOS comes with prepackaged libraries to connect to AWS services, update, and secure the device. It also allows you to easily send data to the cloud for further analysis.
  127. 127. AWS GreenGrass Execute funções lambda nos dispositivos com segurança usando recursos locais de computação, sistema de mensagens, armazenamento de dados em cache e sincronização para dispositivos conectados.
  128. 128. AWS GreenGrass Exemplo You have a collection of IoT sensors deployed in the field, along with a GreenGrass device. Rather than sending data straight to the cloud, the sensors can connect to the GreenGrass device directly and have it perform some operation for them. This is done locally – the sensors don’t need to be connected to the public internet to communicate with GreenGrass. This saves time by lowering the latency of connections, and money by filtering data from the sensors before sending it all to the cloud for processing.
  129. 129. AWS GreenGrass Machine Learning Inference GreenGrass device still operates the same way – at the edge of your network. But it can now apply machine learning models in the field. ex: an IoT sensor that takes an action in response to a voice command. Before, you’d have to send that data to the cloud for processing, then back to the sensor, which would then trigger the action (back to the cloud again, most likely). With Machine Learning Inference on a GreenGrass device, you can do all of that locally, resulting in much faster response times.
  130. 130. Obrigado!@andrefaria - andrefaria.com

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