20200513 - CloudComputing UCU

© 2020, Amazon Web Services, Inc. or its Affiliates.
Marcia Villalba
Developer Advocate AWS
@mavi888uy
Hablemos de Serverles? 🤷

About me
AWS Developer Advocate
Estudie en la UCU – Ingenieria de
sistemas
Aalto University – Master of science
Coding for more than 15 years
Host of FooBar YouTube Channel
https://youtube.com/foobar_codes

Table of contents
• Razones para usar la nube
• Serverless
• Inteligencia artificial

Millones de clientes activos por mes

Muchos clientes … muchisimos

Algunos conocidos…

Algunos conocidos…
https://d21tktytfo9riy.cloudfront.net/wp-
content/uploads/2016/03/30123842/abc
om-default-share.jpg

Cuáles son los beneficios de la nube?

Trade capital expense for variable expense
Data center investment
based upon forecast
Capital
Pay only for the amount
you consume

Massive economies of scale
Because of aggregate usage from all customers, AWS can achieve
higher economies of scale and pass savings on to customers
Economies of scale
Savings

Stop guessing capacity
Overestimated
server capacity
Underestimated
server capacity
Scaling on
demand

Increase speed and agility
Weeks between wanting
resources and having resources
Minutes between wanting
resources and having resources
Launch

Stop spending money on
running and maintaining datacenters
Running datacenters Business and customers
Investment

Go global in minutes

AWS security
Keep your data safe
Meet compliance requirements
Save money
Scale quickly and securely

AWS global infrastructure

Regions
# AWS Regions
Availability Zones
Planned Regions
#

Availability Zones
# AWS Regions
Availability Zones
Planned Regions
#

Availability Zones
eu-west-1
(Ireland)
eu-west-1a eu-west-1b
eu-west-1c
datacenter(s)
datacenter(s)
datacenter(s)

© 2020, Amazon Web Services, Inc. or its Aﬃliates.
Selecting a region
Determine the right region for
your services, applications, and
data based on these factors
Proximity to customers
(latency)
Data governance,
legal requirements
Services available
within the region
Costs (vary by region)

Edge locations: Reaching distant customers
Edge locations
Multiple edge locations
Regional edge caches

AWS management interfaces

AWS Management Console
Easy-to-use graphical interface
Command Line Interface (AWS CLI)
Access to services by discrete command
Software Development Kits (SDKs)
Access services in your code
Three ways to interact with AWS

AWS Management Console

AWS CLI
~aws
• Open source tool for
interacting with AWS services
• Environments
• Linux
• MacOS
• Windows

AWS SDKs
JavaScript
Python
PHP
.NET
Ruby
Go
Node.js
C++
Java
IoT

Empezando con AWS

© 2019, Amazon Web Services, Inc. or its aﬃliates. All rights reserved.
Monolith
Does everything
Monoliths are OK

Easiest way to get started
Create larger
instances
Add attached
block storage
Load balance
your application
Connect to
AWS services
Networking &
data transfer
DNS
management
One static
IP/instance
Computing
power
AWS Lightsail

AWS Elastic Beanstalk
DeployConfigure & Provision Monitor & Manage

Elastic Beanstalk supports
the most popular runtimes
for web applications, as well
as Docker images
Elastic Beanstalk also
supports custom platforms
and custom images
AWS Elastic Beanstalk - Runtime support

© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Microservices
Does one thing
Microservices

Building Your API on AWS
Amazon
Cognito
Web
Amazon Simple
Storage Service (S3)Amazon
API
Gateway
Services
AWS
Lambda
Any AWS
Service
Mobile
AWS
Fargate

Amazon
CloudFront
Mobile
Web
Amazon
AuroraAWS
AppSync
Amazon Simple
Storage Service (S3)
Mobile
Amazon
Cognito
Amazon
DynamoDB
Amazon
Elasticsearch Service
AWS
Lambda
AWS Amplify

Static / Single Page Web

Containers
Amazon Elastic
Container Service
Amazon EC2
Container Registry
AWS Elastic
Beanstalk
Amazon Elastic Container
Service for Kubernetes
AWS Fargate
AWS App
Mesh

Analytics
Mobile
Web
Amazon Kinesis Amazon Kinesis
Data Firehose
Amazon Simple
Storage Service
(S3)
AWS LambdaAmazon Pinpoint
Amazon Kinesis
Data Analytics
Amazon
Elasticsearch Service
Amazon
CloudWatch Alarm
Amazon API
Gateway
Amazon
CloudFront
Amazon
Athena
Amazon
QuickSight

Comparison of operational responsibility
AWS Lambda
Serverless functions
AWS Fargate
Serverless containers
ECS/EKS
Container-management as a service
EC2
Infrastructure-as-a-Service
More opinionated
Less opinionated
AWS manages Customer manages
• Data source integrations
• Physical hardware, software, networking,
and facilities
• Provisioning
• Application code
• Container orchestration, provisioning
• Cluster scaling
• Physical hardware, host OS/kernel,
networking, and facilities
• Security config and updates, network config,
management tasks
• Container orchestration control plane
• Physical hardware software,
• Work clusters
firewall, management tasks
• Physical hardware software,
• Scaling
management tasks
• Provisioning, managing scaling and
patching of servers

Relational
Referential
integrity, ACID
transactions,
schema-
on-write
Lift and shift, ERP,
CRM, finance
Aurora, RDS
Key-value
High
throughput,
low-latency
reads
and writes,
endless scale
Real-time
bidding, shopping
cart, social,
product catalog,
customer
preferences
DynamoDB
Document
Store
documents and
quickly access
querying on
any attribute
Content
management,
personalization,
mobile
DocumentDB
In-memory
Query by key
with
microsecond
latency
Leaderboards,
real-time
analytics, caching
ElastiCache
Graph
Quickly and
easily create
and navigate
relationships
between
data
Fraud detection,
social
networking,
recommendation
engine
Neptune
Time-series
Collect, store,
and process
data
sequenced
by time
IoT applications,
event tracking
Timestream
Ledger
Complete,
immutable, and
verifiable history
of all changes to
application data
Systems
of record, supply
chain, health care,
registrations,
financial
QLDB
AWS
Service(s)
Common Use
Cases
Data Model and Store

Serverless

Levelofabstraction
Focus on business logic
Physical machines Requires “guess” planning
Lives for years on-premises
Heavy investments (CAPEX)
Low innovation factor
Deploy in months
Computing evolution: A paradigm shift

Levelofabstraction
Virtual machines
Hardware independence
Faster provisioning speed (minutes/hours)
Trade CAPEX for OPEX
More scale
Elastic resources
Faster speed and agility
Reduced maintenance

Levelofabstraction
Containerization
Platform independence
Consistent runtime environment
Higher resource utilization
Easier and faster deployments
Isolation and sandboxing
Start speed (deploy in seconds)

AWS Lambda
AWS Fargate
Levelofabstraction
Continuous scaling
Fault tolerance built in
Event-driven
Pay for value
Zero maintenance
Serverless

What it means that something is serverless?
No managing infrastructure High availability built in
Pay for what you useScales automagically

Function as a Service (FaaS)
“AWS Lambda lets you run code without
provisioning or managing servers. ...
…Just upload your code and Lambda takes care
of everything required to run and scale your code
with high availability.
You can set up your code to automatically
trigger from other AWS services or call it directly
from any web or mobile app”
AWS – Lambda definition
AWS
Lambda

© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved.
How AWS Lambda works?
Event source Function Services
Node.js
Python
Java
C#
Go
Custom runtimes
Changes in
data state
Requests to
endpoints
Changes in
resource state
Amazon S3
DynamoDB
Amazon
SQS

Managed services
Amazon S3
Amazon SQS
DynamoDB

Let’s build something

The simplest serverless example
Amazon API Gateway AWS Lambda Amazon DynamoDB
Client

API Gateway
- Helps to create, maintain, monitor
and secure APIs at scale.
- REST APIs
- WebSockets APIs
Amazon API Gateway

DynamoDB
- Dynamo is a key-value database
service
- Fully managed
- Super performant – 20 million
request per second
Amazon
DynamoDB

Demo

AWS Amplify

AWS Amplify recap
Broad support for the most popular OS
platforms and frameworks
Developer tools for building, testing,
deploying, and hosting the entire app –
frontend and backend
The Amplify Framework, an open-source
client framework, includes libraries, a CLI
toolchain, and UI components
The CLI toolchain enables easy integration with
AWS services, such as Amazon Cognito, AWS
AppSync, and Amazon Pinpoint

Amplify Framework review
• Open source
• Among the top 5 fastest growing projects on GitHub
• Opinionated
• Best practices built-in
• Infrastructure as code
• Categories-based high-level abstractions

Amplify Framework review: Categories
Analytics
Track user sessions, custom
user attributes, and in-app
metrics
API
HTTP requests using REST
and GraphQL with support
for real-time data
Auth
AuthN + AuthZ library with
prebuilt UI components for
your app
DataStore
On-device persistent storage
that automatically
synchronizes data between
your apps and the cloud
Interactions
Conversational bots
powered by deep learning
technologies
PubSub
Connect your app to
message-oriented
middleware on the cloud
Notiﬁcations
Push notiﬁcations with
campaign analytics and
targeting
XR
Work with augmented
reality and virtual reality
content in your apps
Predictions
Add AI/ML capabilities to
your app, powered by cloud
services
Storage
Securely manage user
content in public, protected,
and private storage

Amplify Framework review: CLI

Amplify Framework recap: Libraries

Get the code
https://github.com/mavi888/amplify-appsync-predictions-demo-base

GraphQL

/posts /comments /authors
REST API
posts comments authors
GraphQL API
What is GraphQL?

Queries MutationsTypes
Subscriptions
GraphQL schema and operations
type User {
id: ID!
username: String!
firstName: String
lastName: String
daysActive: Int
}
A query language for APIs… and a runtime!

A query language for APIs . . .
Queries
query GetPost {
getPost(id: ”1”) {
id
title
}
}
mutation CreatePost {
createPost(title: “Summit”) {
id
title
}
}
subscription OnCreatePost {
onCreatePost {
id
title
}
}
Mutations Subscriptions

How GraphQL works?
Client
GraphQL
SQL datasource
1.
Create the schema.
Describe all the available types and
operations

How GraphQL works?
Client
GraphQL
2.
Deﬁne all your resolvers, to be able
to serve all the operations deﬁned in
the schema
SQL datasource

How GraphQL works?
Client
GraphQL
3.
The client makes a request
SQL datasource

How GraphQL works?
Client
GraphQL
4.
GraphQL uses the request resolver to
translate the client query and get
data from the datasource Translate GraphQL query into
SELECT video_id, video_name FROM videos
SQL datasource

How GraphQL works?
Client
GraphQL
5.
GraphQL uses the response resolver
to return data from the datasource
to the client
In this case the resolver will
translate SQL into JSON
SQL datasource

How GraphQL works?
Client
GraphQL
6.
GraphQL returns the JSON response
to the client
SQL datasource

AWS AppSync
Managed serverless
GraphQL service
Connect to data
sources in your account
Add data sync, real-time, and
offline capabilities for any data
source or API
GraphQL facade for any
AWS service
Conﬂict detection and
resolution in the cloud
Enterprise security features:
AWS Identity and Access
Management (IAM), Amazon
Cognito, OIDC, API keys

GraphQL Transform: Mix and match data sources
type Post {
id: ID!
content: String
description: String
ups: Int
downs: Int
}

type Post
@model {
id: ID!
content: String
description: String
ups: Int
downs: Int
}
createPost
readPost
updatePost
deletePost
list

type Post
@model {
id: ID!
content: String
description: String
ups: Int
downs: Int
}
createPost
readPost
updatePost
deletePost
list
Mutations
Queries

Mutations
Queries
type Post
@model
@auth(rules: [{allow: owner}]){
id: ID!
content: String
description: String
ups: Int
downs: Int
}
createPost
readPost
updatePost
deletePost
list

searchPosts
Mutations
Queries
type Post
@model
@auth(rules: [{allow: owner}])
@searchable{
id: ID!
content: String
description: String
ups: Int
downs: Int
}
createPost
readPost
updatePost
deletePost
list
Amazon Elasticsearch
Service

Demo

AI/ML

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 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
L E XR E K O G N I T I O N
V I D E O
Vision Speech Chatbots
A M A Z O N S A G E M A K E R
B U I L D T R A I N
F O R E C A S TT E X T R A C T P E R S O N A L I Z E
D E P L O Y
Pre-built algorithms & notebooks
Data labeling (G R O U N D T R U T H )
One-click model training & tuning
Optimization ( N E O )
One-click deployment & hosting
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
Models without training data (REINFORCEMENT LEARNING)
Algorithms & models ( A W S M A R K E T P L A C E )
Language Forecasting Recommendations
NEW NEWNEW
NEW
NEW
NEWNEW
NEW
NEW

Put AI to work for your business
Pre-trained AI services that require
no ML skills or training
Easily add intelligence to your
existing apps and workflows
Quality and accuracy from
continuously-learning APIs
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 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
L E XR E K O G N I T I O N
V I D E O
Vision Speech Chatbots
F O R E C A S TT E X T R A C T P E R S O N A L I Z E
Language Forecasting Recommendations

Amazon Comprehend – NLP – natural language processing

54 languages
2,804 combinations
Real time
<500 ms / sentence on average
<150 ms / conversational / short form
Tag handling
XML tags placement maintains styling
and formatting through translation
< / >
Data security
Data ownership
Encryption
Access management
Ease of use
Simple API calls and partner solutions
$15/1M characters
Or $0.000075 per word; pay as you go;
2M characters monthly on free tier
Amazon Translate
Key features
HIPPA-eligible
Enables use in medical environments

Get the code
https://github.com/mavi888/amplify-appsync-predictions-demo-base

How to learn AWS?

Study for a certiﬁcation

“If you want to
increase innovation,
you have to
lower the cost of failure”
Joi Ito
Director, MIT Media Lab

Minimize Risks
Is it a one-way or
a two-way door?

Fail Fast
Amazon’s first smartphone, the Fire Phone, hasn’t
been discontinued, but it’s been a pretty big flop so
far. Amazon wrote off $170 million worth of unsold
Fire phones last year, and its hardware division has
been cutting jobs recently.
Amazon once had an auction site called Amazon,
which went head-to-head with eBay. Auction shut
down eventually, but it helped Amazon launch its
own online marketplace for third party vendors
called Amazon Marketplace, which is now a big part
of its overall business.

“If you can’t feed a
team with two
pizzas, it’s too
large”
- Jeff Bezos
Small & Agile Teams

Ownership
“You build it, you run it. This brings
developers into contact with the
day-to-day operation of their software.
It also brings them into day-to-day
contact with the customer.“
@Werner, CTO

Preguntas!
Marcia Villalba
Developer Advocate AWS
Twitter: @mavi888uy
YouTube: https://youtube.com/foobar_codes

20200513 - CloudComputing UCU

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