AWS re:Invent re:Cap 행사에서 발표된 강연 자료입니다. 아마존 웹서비스의 양승도 솔루션스 아키텍트가 발표한 내용입니다. 내용 요약: re:Invent에서 새로 발표된 Amazon Aurora는 My-SQL과 호환되는 관계형 데이터베이스 엔진으로, 상용 고급 데이터베이스의 속도 및 가용성과 오픈소스 데이터베이스의 간편함 및 비용효율성을 모두 갖춘 서비스입니다. 이 세션에서는 MySQL과 Oracle, Microsoft SQL Server, PostgreSQL에 이어 Amazon RDS로 구동되는 다섯 번째 데이터베이스 엔진 Amazon Aurora의 특징과 이점에 대해 소개하도록 하겠습니다.

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December 8, 2014 | Korea
Amazon Aurora Re-imagining the Relational Database
양승도 솔루션스 아키텍트
re:

2. SQL
Transactions
Caching
Logging

3. SQL
Transactions
Caching
Logging
SQL
Transactions
Caching
Logging
Application

4. SQL
Transactions
Caching
Logging
SQL
Transactions
Caching
Logging
Application

5. SQL
Transactions
Caching
Logging
SQL
Transactions
Caching
Logging
Storage
Application

12. Performance and Scalability
High Throughput with Low Jitter
Push-button Compute Scaling
Storage Auto-scaling
Amazon Aurora Replicas
Reliability
Instance Monitoring and Repair
Fault-tolerant and Self-healing Storage
Automatic, Continuous, Incremental Backups and Point-in-time Restore
Database Snapshots
Security
Encryption at Rest and in Transit
Network isolation
Resource-level Permissions
Manageability
Easy to Use
Easy Migration
Monitoring and Metrics
Automatic Software Patching
DB Event Notifications
Cost-effectiveness
Pay Only for What You Use

14. Logging + Storage
SQL
Transactions
Caching
Control Plane
Data Plane
Amazon S3
DynamoDB
Amazon SWF
Amazon Route 53

15. SQL
Transactions
AZ 1
AZ 2
AZ 3
Caching
Amazon S3

16. 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

17. SQL
Transactions
Caching
SQL
Transactions
Caching
SQL
Transactions
Caching
Caching process is outside the DB process and remains warm across a database restart

18. 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

24. -
10
20
30
40
50
60
70
10
100
1,000
10,000
Thousands of Writes Per Second
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

25. -
20
40
60
80
100
120
50
500
5,000
Thousands of Writes per Second
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

26. -
50
100
150
200
250
300
350
400
100/0
50/50
0/100
Thousands of Operations/Second
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

27. 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 Replica Lag in milliseconds
Read Replica Lag
Aurora
RDS MySQL;30,000 IOPS (Single AZ)
Updates/ Second
Aurora
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

31. 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