Comment choisir sa base de données dans le cloud...Comment choisir sa base de données dans le cloud. Purpose-built databases The right tool for the right job. Two fundamental areas

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Comment choisir sa base de données dans le cloud

Purpose-built databasesThe right tool for the right job

Two fundamental areas of focus

“Lift and shift” existing

apps to the cloud

Quickly build new

apps in the cloud

“Lift and shift” existing apps to the cloud


apps to the cloud

Quickly build new

apps in the cloud

Amazon Relational Database Service (RDS)

• Managed relational database service with a choice of six popular database engines

Easy to administer Available and durable Highly scalable Fast and secure

No need for infrastructure

provisioning, installing, and

maintaining DB software

Automatic Multi-AZ data

replication; automated backup,

snapshots, failover

Scale database compute

and storage with a few

clicks with no app

downtime

SSD storage and guaranteed

provisioned I/O; data

encryption at rest and in

transit

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

If you host your databases on-premises…

Power, HVAC, net

Rack & stack

Server maintenance

OS patches

DB s/w patches

Database backups

Scaling

High availability

DB s/w installs

OS installation

you

App optimization


If you choose Amazon RDS…

Power, HVAC, net

Rack & stack

Server maintenance

OS patches

DB s/w patches

Database backups

High availability

DB s/w installs

OS installation

Scaling

Power, HVAC, net

Rack & stack

Server maintenance

OS patches

DB s/w patches

Database backups

Scaling

High availability

DB s/w installs

OS installation

App optimization

you

Amazon Aurora• MySQL and PostgreSQL-compatible relational database built for the cloud

• Performance and availability of commercial-grade databases at 1/10th the cost

Performance

and scalability

Availability

and durabilityHighly secure Fully managed

5x throughput of standard

MySQL and 3x of standard

PostgreSQL; scale-out up to

15 read replicas

Fault-tolerant, self-healing

storage; six copies of data

across three Availability Zones;

continuous backup to Amazon S3

Network isolation,

encryption at

rest/transit

Managed by RDS:

No hardware provisioning,

software patching, setup,

configuration, or backups


Scale-out, distributed, multi-tenant architecture

Availability

Zone 1

Availability

Zone 2

Availability

Zone 3

Shared storage volume

Storage nodes with SSDs

Master

SQL

Transactions

Caching

• Purpose-built log-structured

distributed storage system

designed for databases

Replica Replica

SQL

Transactions

Caching

SQL

Transactions

Caching• Storage volume is striped across

hundreds of storage nodes

distributed over 3 different

Availability Zones

• Master and replicas all point to the

same storage

• Six copies of data, two copies in

each Availability Zone to protect

against AZ+1 failures


Starts up on demand, shuts down when not in use

Automatically scales with no instances to manage

Pay per second for the database capacity you use

Aurora ServerlessOn-demand, auto-scaling database for applications with variable workloads

Warm Capacity

Pool

Application

Database Endpoint

Scalable Database Capacity

(Compute + Memory)

Shared Distributed Storage

Quickly build new apps in the cloud


apps to the cloud

Quickly build new

apps in the cloud

Modern apps create new requirements

Users: 1 million+

Data volume: TB–PB–EB

Locality: Global

Performance: Milliseconds–microseconds

Request rate: Millions

Access: Web, mobile, IoT, devices

Scale: Up-down, Out-in

Economics: Pay for what you use

Developer access: No assembly requiredSocial mediaRide hailing Media streaming Dating

Let’s take a closer look at…

Key-value

&

Document

Graph Memory Time-series

Gamers

Primary KeyAttributes

Gamer Tag Type

Hammer57

RankLevel Points Tier

87 4050 Elite

StatusHealth Progress

90 30

WeaponClass Damage Range

Taser 87% 50

FluffyDuffy

Rank Level Points Tier

5 1072 Trainee

StatusHealth Progress

37 8

Key-value use case

// Status of Hammer57 GET {

TableName:"Gamers",Key: {"GamerTag":"Hammer57","Type":"Status” } }

// Return all Hammer57

Gamers

GamerTag = :a

:a Hammer57

Amazon DynamoDBFast and flexible key value database service for any scale

Comprehensive

security

Encrypts all data by

default and fully integrates

with AWS Identity and

Access Management for

robust security

Performance at scale

Consistent, single-digit

millisecond response times at

any scale; build applications with

virtually unlimited throughput

Global database for

global users and apps

Build global applications with

fast access to local data by easily

replicating tables across multiple

AWS Regions

Serverless

No server provisioning,

software patching, or

upgrades; scales up or down

automatically; continuously

backs up your data


Document use case

Mobile

Retail and

MarketingUser profilesCatalog

Content

ManagementPersonalization

Amazon DocumentDBFast, scalable, highly available MongoDB-compatible database

Highly Available

Automatic Multi-AZ data

replication; automated

backup, snapshots,

failover;

Performance at scale

2X the throughput of currently

available MongoDB managed

services; scale read capacity to

millions of requests per second

by adding up to 15 low latency

read replicas across three AZs in

minutes, regardless of data size

MongoDB-compatible

Implements the Apache 2.0 open

source MongoDB 3.6 API by

emulating the responses that a

MongoDB client expects from a

MongoDB server

Durable

Fault-tolerant, self-healing

storage; six copies of data

across three Availability Zones;

continuous backup to Amazon

S3


Graph use case

• Social networking

• Recommendations

• Knowledge graphs

• Fraud detection

• Life sciences

• Network and IT operations


Amazon NeptuneFully managed graph database for highly connected data

Fast & Scalable ReliableOpen

Store billions of relationships;

query with millisecond latency

6 replicas of your data

across 3 AZs with full

backup and restore

Build powerful queries

easily with Gremlin and

SPARQL

+

GRAPHQL with AppSync

Supports Apache

TinkerPopTM & W3C RDF

graph models

Gremlin

SPARQL

Easy

Time-series use case

Application events

IoT Sensor

Readings

DevOps data

Humidity

% WATER VAPOR

91.094.086.093.0

Amazon Timestream (Preview)

• Fast, scalable, fully managed time-series database

1,000x faster and 1/10th the

cost of relational databases

Collect data at the rate of

millions of inserts per

second (10M/second)

Trillions of

daily events

Adaptive query processing

engine maintains steady,

predictable performance

Time-series analytics

Built-in functions for

interpolation, smoothing,

and approximation

Serverless

Automated setup,

configuration, server

provisioning, software patching



Common data categories and use cases

Relational

Referential

integrity, ACID

transactions,

schema-

on-write

Lift and shift, ERP,

CRM, finance

Key-value

High

throughput, low-

latency reads

and writes,

endless scale

Real-time bidding,

shopping cart,

social, product

catalog, customer

preferences

Document

Store

documents and

quickly access

querying on

any attribute

Content

management,

personalization,

mobile

In-memory

Query by key

with

microsecond

latency

Leaderboards,

real-time analytics,

caching

Graph

Quickly and

easily create

and navigate

relationships

between

data

Fraud detection,

social networking,

recommendation

engine

Time-series

Collect, store,

and process

data sequenced

by time

IoT applications,

event tracking

Ledger

Complete,

immutable, and

verifiable history

of all changes to

application data

Systems

of record, supply

chain, health care,

registrations,

financial

Thank you!


Documents

Comment choisir sa base de données dans le cloud...Comment choisir sa base de données dans le cloud. Purpose-built databases The right tool for the right job. Two fundamental areas