AWS Summit 2019: A Cloud Journey with Amazon Web Services

© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U MMI T
Student Track

Agenda
11:45 – 12:45 Introduzione a Amazon Web Services
12:45 – 13:30 Pranzo
13:30 – 13:40 Executive Welcome
Raffaele Resta – Head of Public Sector, AWS Italy
13:40 – 14:00 AWS Educate: cos’è e come sfruttarlo al meglio
14:00 – 14:20 AWS Academy: cos’è e come sfruttarlo al meglio
14:20 – 14:40 Sviluppare le proprie competenze in Amazon
15:00 Networking e visita agli Expo

A journey to the Cloud with
Amazon Web Services
Carmela Gambardella – AWS Solutions Architect

Agenda
• What is the Cloud Computing
• Introduction on Amazon Web Services
• AWS Programs
• Customers in the journey
• Build on!

Think about Cloud Computing
On-line delivery
IT-Resources
On-Demand
Pay as you go
Benefit from
massive
economies of
scale
Stop guessing
capacity
Stop spending money
on
running/maintaining
data centers
Increase speed
and agility
Go global in
minutes

Amazon Web Services

Pace of Innovation
• AWS offers reliable, scalable, and secure Cloud Computing services
• Building and managing Cloud since 2006
• 165+ services to support any Cloud workload
1957 new
features/services
launched in 2018
AWS has been continually expanding
its services to support virtually any
cloud workload.

The broadest and deepest Cloud platform for today’s builders

20 Regions – 61 Availability Zones – 166 Points of Presence
AWS Global Infrastructure
Data Center Data Center
Data Center
Region
Availability
Zone B
Availability
Zone A
Availability
Zone C

20 Regions – 61 Availability Zones – 166 Points of Presence
AWS Global Infrastructure

OUR MISSION
We want to be earth’s most
customer centric company

WHERE INNOVATION
STARTS
We start with the customer
and work backwards

In AWS Security is a Shared Responsibility
AWS Foundation Services
Compute Storage Database Networking
AWS Global
Infrastructure Regions
Availability Zones
Edge Locations
Client-side Data
Encryption
Server-side Data
Encryption
Network Traffic
Protection
Platform, Applications, Identity & Access Management
Operating System, Network & Firewall Configuration
Customer content
Customers
Customers are
responsible for
their security and
compliance IN
the Cloud
AWS is
responsible for
the security OF
the Cloud

AWS Ecosystem
Technology
Partners
Consulting
Partners

AWS Training and Certification
https://aws.amazon.com/training/
https://aws.amazon.com/certification/
https://aws.amazon.com/training/course-descriptions/

AWS Certification Program

AWS for Education and Research
https://aws.amazon.com/education/awseducate/
https://aws.amazon.com/government-education/research-and-technical-computing/research-cloud-program/

AWS - We Power Tech Initiative
https://aws.amazon.com/we-power-tech/

AWS for Startups
https://aws.amazon.com/activate/
AWS Credits AWS Support AWS Training
Startup CommunityOffice Hours Startup Spotlight

Startups on AWS
Now Go Build series includes Amazon VP & CTO, Werner Vogels, which explores the world
to meet and share experiences with the founders of the best start-ups on the challenges
they face in business and how AWS helps to overcome these challenges.
First episode is dedicated to Hara Token, a Jakarta based startup, that has built a
blockchain technology data exchange platform engaged in the agri-food industry.
The technology links small holder rice farmers with financial services for supporting
distribution of goods like seeds, tools and fertilizers.
Now Go Build with Werner Vogels - Amazon VP & CTO
https://youtu.be/a42kxHSX4Xw

Startup Customers
https://aws.amazon.com/it/solutions/case-studies/startups/

Customers in the journey
With 20 billion matches to date, Tinder is the world's most popular app for meeting new
people. Using Amazon SageMaker, Tinder analyzes millions of match requests a minute,
billions of swipes a day, across more than 190 countries to make the perfect match. With
Amazon Rekognition, Tinder creates tags to highlight photos, resulting in 20% increase in
engagement.
https://www.youtube.com/watch?v=yNVmUevq04I
Amazon Rekognition Amazon SageMaker

Amazon Recognition: Deep Learning-Based Image and Video Analysis

Amazon Rekognition Features
Faces Celebrities Labels
Moderation ScenesActivities Paths
Text

Amazon SageMaker:
Build, Train, and Deploy ML Models at Scale

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
M L F R A M E W O R K S &
I N F R A S T R U C T U R E
The Amazon ML stack: Broadest & deepest set of capabilities
A I S E R V I C E S
R E K O G N I T I O N
I M A G E
P O L L Y T R A N S C R I B E T R A N S L A T E L E XR E K O G N I T I O N
V I D E O
Vision Speech Chatbots
M L S E R V I C E S
F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e
E C 2 P 3
& P 3 d n
E C 2 C 5 F P G A s G R E E N G R A S S
E L A S T I C
I N F E R E N C E
Language Forecasting Recommendations
T E X T R A C T
New
C O M P R E H E N D &
C O M P R E H E N D
M E D I C A L New
NewNew
F O R E C A S T P E R S O N A L I Z E
G R O U N D T R U T H
New
N O T E B O O K S
A W S M A R K E T P L A C E
New
A L G O R I T H M S R E I N F O R C E M E N T
L E A R N I N G
New
T R A I N I N G
O P T I M I Z A T I O N
( N E O ) New
D E P L O Y M E N T
H O S T I N G
New
Amazon SageMaker

Netflix can support seamless global service by using Amazon Web Services for quickly
deploying thousands of servers and terabytes of storage within minutes. Users can stream
Netflix shows and movies from anywhere in the world, including on the web, on tablets, or
on mobile devices such as iPhones.
«Our success on the AWS infrastructure can be attributed to the scalability, elasticity, global availability of the
services as well as on the the key focus on velocity from the AWS development team.
As we move to the cloud, our engineering organization has also move to more devOps oriented. Our developers and
engineers can actually have the freedom to spin out instances to do test and experiments any time and it only take
seconds or maybe minutes to spin out new instances and new Amazon services for the test versus in the past they
were have to talk with the IT and it will take many days or weeks for thoose hadware to be procured.»
Eva Tse – Director, Big Data Platform
https://aws.amazon.com/solutions/case-studies/netflix/

DevOps: AWS Code Tools and Services
AWS
CodeBuild +
Third Party
Source Build Test Deploy Monitor
AWS CodeCommit AWS CodeBuild AWS CodeDeploy
AWS CodePipeline
AWS CodeStar
Amazon CloudWatchAWS CloudTrail

AWS DevOps
Portfolio
Software development and
continuous delivery toolchain
Infrastructure as Code Monitoring and Logging Enabling Infra Services
AWS CodeStar
AWS CodeCommit
AWS CodeBuild
AWS CodeDeploy
AWS CodePipeline
AWS CloudFormation
AWS OpsWorks
AWS Config
Amazon CloudWatch
AWS CloudTrail
AWS X-Ray
Amazon VPC
Elastic Load Balancing
(ELB)
Amazon EC2
Container Registry
Amazon Elastic
Container Service
Amazon RDS
AWS Lambda

Blog: https://medium.com/netflix-techblog
Open source: https://github.com/Netflix and https://netflix.github.io/

Web Application Hosting on AWS
MySQL DB
Master instance
Amazon EC2
Instance
Amazon EC2
Instance
Web Tier
Amazon EC2
Instance
Amazon EC2
Instance
www.example.com
Amazon
CloudFront
www.example.com
Amazon
Route 53
• Autoscaling
• Static content on Amazon S3
• Amazon CloudFront (Content
Delivery Network)
• Amazon Route53 – DNS
• Managed Database
S3
Bucket
App Tier
AZ 1

Application
Load
Balancer
https://d1.awsstatic.com/whitepapers/aws-web-hosting-best-practices.pdf
MySQL DB
Master
instance
S3
Bucket
Amazon EC2
Instance
Amazon EC2
Instance
Web Tier
Classic Load
Balancer
Amazon EC2
Instance
Amazon EC2
Instance
Amazon
ElastiCache
App Tier
AZ 1
Amazon EC2
Instance
Amazon EC2
Instance
Web Tier
Amazon EC2
Instance
Amazon EC2
Instance
MySQL DB
Slave
instance
App Tier
AZ 2
Amazon
CloudFront
Amazon
Route 53
www.example.com
• Load Balancing
• Fault tolerance
• Improving performance

https://d1.awsstatic.com/whitepapers/aws-web-hosting-best-practices.pdf
• Microservices Architecture
• Serverless (you can also bring
your code and libraries)
• No server management
• Flexible scaling
• Automated high availability
• Never pay for idle
S3
Bucket
Amazon
CloudFront
www.example.com
AWS
Lambda
Static
content
Amazon API
Gateway
Dynamic
content
DynamoDB
Amazon
Route 53

Serverless Means …
No servers to provision
or manage
Scales with usage
Never pay for idle Built-in availability and
fault tolerance

Common Serverless Application Use Cases
Web
applications
• Static websites
• Complex web
apps
• Packages for
Flask and
Express
Data
processing
• Real time
• MapReduce
• Batch
• Machine
learning
inference
Chatbots
• Powering
chatbot logic
Backends
• Apps and
services
• Mobile
• IoT
</></>
Amazon Alexa
• Powering
voice-enabled
apps
• Alexa
Skills Kit
IT automation
• Policy engines
• Extending
AWS services
• Infrastructure
management

Using AWS Lambda
Bring your own code
• Java, Go, PowerShell,
Node.js, C#, Python,
and Ruby code
• Bring your own libraries
(even native ones)
Simple resource model
• Select power rating
from 128 MB to 3 GB
• CPU and network
allocated
proportionately
Flexible use
• Synchronous or
asynchronous
• Integrated with other
AWS services
Flexible authorization
• Securely grant access to
resources and VPCs
• Fine-grained control for
invoking your functions

AWS Open Source Resources for Developers
AWS GitHub Repository: https://github.com/aws/
AWS Samples: https://github.com/aws-samples
Amazon Web Services – Lab: https://github.com/awslabs
Get Started: https://aws.amazon.com/developers/getting-started

Web Resources
• AWS Architecture Center:
https://aws.amazon.com/architecture/
• AWS Architecture Whitepapers:
https://aws.amazon.com/architecture/#Architecture_whitepapers_from_AWS
• AWS Quick Starts:
https://aws.amazon.com/architecture/#Latest_AWS_Quick_Starts
• AWS Events & Webinars:
https://aws.amazon.com/about-aws/events/

To our shareholders
Amazon.com passed many milestones in 1997: by year-end, we had
served more than 1.5 million customers, yielding 838% revenue
growth to $147.8 million, and extended our market leadership
despite aggressive competitive entry.
But this is Day 1 for the Internet and, if we execute well, for
Amazon.com. Today, online commerce saves customers money and
precious time. Tomorrow, through personalization, online
commerce will accelerate the very process of discovery. Amazon.com
uses the Internet to create real value for its customers and, by
doing so, hopes to create an enduring franchise, even in established

Let’s innovate together!

https://www.blooware.co.uk
Nato nel North Devon, Huw inizia a scrivere codice all’età di 10 anni con un vivo
interesse per la tecnologia, la robotica e l'intelligenza artificiale.
A 17 anni fonda Blooware Technologies Limited - Una startup di software
specializzata nell'utilizzo di AI per la clientela consumer per migliorare l'interazione
con sistemi complessi.
• Blooware founded in 2016 to build friendly reception software
and other AI experiences.
• Currently employing 5 people.
• Annual turnover of £30,000 last year with a projected £60,000
this year.
• Annual AWS bill? £2000 (ish)
Huw Prosser’s story

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