(SDD415) NEW LAUNCH: Amazon Aurora: Amazon’s New Relational Database Engine | AWS re:Invent 2014
31
November 12, 2014 | Las Vegas, NV Anurag Gupta, General Manager
-
Upload
amazon-web-services -
Category
Technology
-
view
12.663 -
download
7
description
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Starting today, you can sign up for an invitation to the preview of the service. Come to our session for an overview of the service and learn how Aurora delivers up to five times the performance of MySQL yet is priced at a fraction of what you'd pay for a commercial database with similar performance and availability.
Transcript of (SDD415) NEW LAUNCH: Amazon Aurora: Amazon’s New Relational Database Engine | AWS re:Invent 2014
November 12, 2014 | Las Vegas, NV
Anurag Gupta, General Manager
SQL
Transactions
Caching
Logging
SQL
Transactions
Caching
Logging
SQL
Transactions
Caching
Logging
Application
SQL
Transactions
Caching
Logging
SQL
Transactions
Caching
Logging
Application
SQL
Transactions
Caching
Logging
SQL
Transactions
Caching
Logging
Storage
Application
Logging + Storage
SQL
Transactions
Caching
Control PlaneData Plane
Amazon S3
DynamoDB
Amazon SWF
Amazon Route 53
SQL
Transactions
AZ 1 AZ 2 AZ 3
Caching
Amazon S3
Checkpointed Data Redo Log
Crash at T0 requires
a re-application of the
SQL in the redo log since
last checkpoint
T0 T0
Crash at T0 will result in redo
logs being applied to each segment
on demand, in parallel, asynchronously
SQL
Transactions
Caching
SQL
Transactions
Caching
SQL
Transactions
Caching
Caching process is outside the DB process
and remains warm across a database restart
Page cache
invalidation
Aurora Master
30% Read
70% Write
Aurora Replica
100% New Reads
Shared Multi-AZ Storage
MySQL Master
30% Read
70% Write
MySQL Replica
30% New Reads
70% Write
Single threaded
binlog apply
Data Volume Data Volume
-
10
20
30
40
50
60
70
10 100 1,000 10,000
Th
ou
san
ds o
f W
rite
s P
er
Seco
nd
Number of Tables
Write Performance & Table Count
Aurora
MySQL on I2.8XL
MySQL on I2.8XL with RAM Disk
RDS MySQL with 30,000 IOPS (Single AZ)
Tables Aurora
MySQL
I2.8XL
Local SSD
MySQL
I2.8XL
RAM Disk
RDS MySQL
30K IOPS
(Single AZ)
10 60,000 18,000 22,000 25,000
100 66,000 19,000 24,000 23,000
1,000 64,000 7,000 18,000 8,000
10,000 54,000 4,000 8,000 5,000
-
20
40
60
80
100
120
50 500 5,000
Th
ou
san
ds o
f W
rite
s p
er
Seco
nd
Concurrent Connections
Write Performance & Concurrency
Aurora
RDS MySQL with 30,000 IOPS (Single AZ)
Connections Aurora
RDS MySQL
30K IOPS
(Single AZ)
50 40,000 10,000
500 71,000 21,000
5,000 110,000 13,000
-
50
100
150
200
250
300
350
400
100/0 50/50 0/100
Th
ou
san
ds o
f O
pera
tio
ns/S
eco
nd
Read/Write Ratio
Performance with Query Cache On & Off
Aurora without Caching
Aurora with Caching
RDS MySQL;30,000 IOPS (Single AZ) - without caching
RDS MySQL;30,000 IOPS (Single AZ) - with caching
R/W Ratio
Aurora
Without
Caching
Aurora
With
Caching
RDS MySQL
30K IOPS
Without
Caching
RDS MySQL
30K IOPS
With
Caching
100/0 160,000 375,000 35,000 19,000
50/50 130,000 93,000 24,000 20,000
0/100 64,000 64,000 16,000 16,000
2.6 3.4 3.9 5.4
1,000 2,000 5,000 10,000
0
50,000
100,000
150,000
200,000
250,000
300,000
350,000
Updates per Second
Read
Rep
lica L
ag
in
milliseco
nd
s
Read Replica Lag
Aurora
RDS MySQL;30,000 IOPS (Single AZ)
Updates/
SecondAurora
RDS MySQL
30K IOPS
(Single AZ)
1,000 2.62ms 0s
2,000 3.42ms 1s
5,000 3.94ms 60s
10,000 5.38ms 300s
vCPU Mem Hourly Price
db.r3.large 2 15.25 $0.29
db.r3.xlarge 4 30.5 $0.58
db.r3.2xlarge 8 61 $1.16
db.r3.4xlarge 16 122 $2.32
db.r3.8xlarge 32 244 $4.64
• Storage consumed, up to 64TB, is $0.10/GB/month
• IOs consumed are billed at $0.20 per million IO
• Prices are for Virginia
https://aws.amazon.com/rds/aurora/preview
![Amazon’s ecommerce Empire_FINAL [Autosaved]](https://static.fdocuments.in/doc/165x107/587091c91a28ab412b8b59f3/amazons-ecommerce-empirefinal-autosaved.jpg)
