Amazon Aurora is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is designed to be compatible with MySQL 5.6, so that existing MySQL applications and tools can run without requiring modification. AWS Database Migration Service helps you migrate databases to AWS easily and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database. Presented by: Danilo Poccia, Technical Evangelist, Amazon Web Services

1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Aurora
& AWS Database Migration Service
Danilo Poccia, Technical Evengelist
@danilop danilop

2. Meet Amazon Aurora ……
Databases reimagined for the cloud
R Speed and availability of high-end commercial databases
R Simplicity and cost-effectiveness of open source databases
R Drop-in compatibility with MySQL
R Simple pay as you go pricing
Delivered as a managed service

3. Reimagining the relational database
What if you were inventing the database today?
You wouldn’t design it the way we did in 1970
You’d build something
ü that can scale out …
ü that is self-healing …
ü that leverages existing AWS services …

4. Not much has changed in last 30 years
Even when you scale it out, you’re still replicating the same stack
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

5. A service-oriented architecture applied to the database
Moved the logging and storage layer into a
multi-tenant, scale-out database-optimized
storage service
Integrated with other AWS services like
Amazon EC2, Amazon VPC, Amazon
DynamoDB, Amazon SWF, and Amazon
Route 53 for control plane operations
Integrated with Amazon S3 for continuous
backup with 99.999999999% durability
Control planeData plane
Amazon
DynamoDB
Amazon SWF
Amazon Route 53
Logging + Storage
SQL
Transactions
Caching
Amazon S3
1
2
3

6. Fastest growing service
in AWS history
Aurora customer adoption

7. Aurora requires fewer I/Os
Binlog Data Double-write bufferLog records FRM files, metadata
T Y P E O F W RI T E S
EBS mirrorEBS mirror
AZ 1 AZ 2
Amazon S3
MYSQL WITH STANDBY
SEQUENTIAL
WRITE
SEQUENTIAL
WRITE
EBS
Amazon Elastic
Block Store (EBS)
Primary
Instance
Standby
Instance
AZ 1 AZ 3
Primary
Instance
Amazon S3
AZ 2
Replica
Instance
AMAZON AURORA
ASYNC
4/6 QUORUM
DISTRIBUTED
WRITES

8. Amazon Aurora is highly available
Highly available storage
• Six copies of data
across three AZs
• Latency tolerant
quorum system for
read/write
• Up to 15 replicas with
low replication lag
Survivable caches
• Cache remains warm
in the event of a
database restart
• Lets you resume fully
loaded operations
much faster
Instant crash recovery
• Underlying storage
replays redo records
on demand as part of a
disk read
• Parallel, distributed,
asynchronous
AZ 1 AZ 2 AZ 3
Amazon
S3
SQL
Transactions
Caching
T0

9. Simplify storage management
• Automatic storage scaling up to 64 TB—no performance impact
• Continuous, incremental backups to Amazon S3
• Instantly create user snapshots—no performance impact
• Automatic restriping, mirror repair, hot spot management, encryption
Up to 64 TB of storage—auto-incremented in 10 GB units
up to 64 TB

10. Simplify data security
R Encryption to secure data at rest
• AES-256; hardware accelerated
• All blocks on disk and in Amazon S3 are encrypted
• Key managementby using AWS KMS
R SSL to secure data in transit
R Network isolation by usingAmazon VPC by
default
R No direct access to nodes
R Supports industry standard security and data
protection certifications
Storage
SQL
Transactions
Caching
Amazon S3
Application

11. If you host your databases on-premises
Power, HVAC, net
Rack and stack
Server maintenance
OS patches
DB software patches
Database backups
Scaling
High availability
DB software installs
OS installation
you
App optimization

12. If you host your databases in Amazon EC2
Power, HVAC, net
Rack and stack
Server maintenance
OS patches
DB software patches
Database backups
Scaling
High availability
DB software installs
OS installation
you
App optimization

13. If you choose Amazon RDS
Power, HVAC, net
Rack and stack
Server maintenance
OS patches
DB software patches
Database backups
App optimization
High availability
DB software installs
OS installation
you
Scaling

14. <demo>
...
</demo>

15. Migration to Aurora is easy

16. Start your first migration in 10 minutes or less
Keep your apps running during the migration
Replicate within, to, or from Amazon EC2 or Amazon
RDS
Move data to the same or different database engine
Learn more at aws.amazon.com/dms
AWS
Database Migration
Service

17. Customer
Premises
Application Users
AWS
Internet
VPN
Keep your apps running during the migration
Start a replication instance
Configure both database endpoints
Select tables, schemas, or databases
Let AWS Database Migration
Service create tables, load data, and
keep them in sync
Switch applications over to the
target at your convenience
AWS
Database Migration
Service

18. Load is table by table
Creates tables at target database
Sets up metadata required at target
Populates data from source
Each process loads one entire table
Can use multiple processes
Can be paused
§ When restarted, will continue from where it was stopped
§ Will reload any tables that were currently in progress
Replication instance
Source Target

19. Change data capture (CDC) and apply
Replication instance
Source Target
update
t1 t2
t1
t2
Transactions
No agent
Uses recovery log
Native change data capture API
Change
apply after
bulk load
Oracle supplemental logging
MySQL row-level binlogging
SQL Server bulk logged/full recovery
Postgres WAL

20. Replication
instance
Source Target
Multiple targets
Target
Target

21. Replication
instance
Source Target
Multiple sources
Source
Source

22. You don’t have to take everything
Source
L
Target
Replication instance
instance

23. Homogenous or heterogeneous
Replication
instance
SQL Server MySQL
Replication
instance
Oracle Oracle
Replication
instance
Oracle Aurora

24. Migrate from Oracle and SQL Server
Move your tables, views, stored procedures, and
data manipulation language (DML) to MySQL,
MariaDB, and Amazon Aurora
Know exactly where manual edits are needed
Download at aws.amazon.com/dms
AWS
Schema Conversion
Tool

25. Know exactly where manual edits are needed

26. <demo>
...
</demo>

27. Thank you!
@danilop danilop