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© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
John Winford, Technical Program Manager
September 28, 2016
Database Migration
Simple, Cross-Engine and Cross-Platform Migrations with Minimal Downtime
Agenda
• How does the cloud help?
• How do I get there?
• How does it work?
• What have others done?
• Are there any tricks? Where is the magic?
• Show me!
Relational databases
Fully managed
Simple and fast to scale
Fast, predictable performance
Low cost, pay for what you use
Amazon
RDS
Amazon Aurora
How does the cloud help?
Provision a database in 6 minutes
Provision an MAZ database with a few mouse clicks
Scale a database up/down with 60–90 seconds of downtime
Apply patches with 60–90 seconds of downtime
Add Read Replicas with a few mouse clicks
Protect your backups and logs with 11 9s of durability
Recover to any point in time from nightly backups + logs
Detailed metrics, down to 1-second intervals
Secure your data with single-click encryption at rest
Amazon
RDS
How can I get to the cloud?
How will my on-premises data migrate to the cloud?
How can I make it transparent to my users?
Afterwards, how will on-premises and cloud data interact?
How can I integrate my data assets within AWS?
Can I get help moving off of commercial databases?
Migration used to be cost + complexity + time
Commercial data migration and replication software
Complex to set up and manage
Application downtime
Database-engine-specific application code
Start your first migration in 10 minutes or less
Keep your apps running during the migration
Replicate within, to, or from Amazon EC2 or RDS
Move data to the same or a different database engine
AWS
Database Migration
Service
(AWS DMS)
Customer
premises
Application users
AWS
Internet
VPN
Start a replication instance
Connect to source and target
databases
Select tables, schemas, or
databases
 Let AWS DMS create tables,
load data, and keep them in
sync
 Switch applications over to
the target at your convenience
Keep your apps running during the migration
AWS
DMS
Load is table by table
Replication instance
Source Target
Change data capture (CDC) and apply
Replication instance
Source Target
Update
t1 t2
t1
t2
Transactions Change
apply
after bulk
load
Multi-AZ option for high availability
Customer
premises
or AWS
AWS
Internet
VPN
AWS DMS
AWS DMS
Replication
instance
Source Target
What else can I do?
Source
Source
Consolidation demo
Replication
instance
Source Target
What else can I do?
Target
Target
AWS Schema Conversion Tool
Features
Oracle and Microsoft SQL Server schema conversion to MySQL, Amazon Aurora, MariaDB, and PostgreSQL
Or convert your schema between PostgreSQL and any MySQL engine
Database Migration Assessment report for choosing the best target engine
Code browser that highlights places where manual edits are required
Secure connections to your databases with SSL
Cloud native code optimization
The AWS Schema Conversion Tool helps
automate many database schema and code
conversion tasks when migrating between
database engines or data warehouse engines
AWS Schema Conversion Tool
Converts relational databases Converts warehouses
SCT helps with converting tables, views, and code
Sequences
User-defined types
Synonyms
Packages
Stored procedures
Functions
Triggers
Schemas
Tables
Indexes
Views
Sort and distribution keys
Split out demo with
AWS Schema Conversion Tool
Take it all—or not
Source Target
Replication instance
instance
Homogenous or heterogeneous
Replication
instance
SQL Server MySQL
Replication
instance
Oracle Oracle
Replication
instance
Oracle Aurora
Other database migration use cases
Migration of business-critical applications
Migration from Classic to VPC
Cheap Read Replicas for Oracle
Read Replicas for other engines
Cross-region Read Replicas for Oracle and SQL Server
Analytics in the cloud
Dev/test and production environment sync
Ongoing replication for BI
Amazon Redshift demo
Sources for AWS Database Migration Service
Customers use the following databases as a source for data migration using AWS DMS:
On-premises and Amazon EC2 instance databases:
• Oracle Database 10g–12c
• Microsoft SQL Server 2005–2014
• MySQL 5.5–5.7
• MariaDB (MySQL-compatible data source)
• PostgreSQL 9.4–9.5
• SAP ASE 15.7+
RDS instance databases:
• Oracle Database 11g–12c
• Microsoft SQL Server 2008R2–2014. CDC operations are not supported yet.
• MySQL versions 5.5–5.7
• MariaDB (MySQL-compatible data source)
• PostgreSQL 9.4–9.5. CDC operations are not supported yet.
• Amazon Aurora (MySQL-compatible data source)
Targets for AWS Database Migration Service
Customers can use the following databases as a target for data replication using
AWS DMS:
On-premises and EC2 instance databases:
• Oracle Database 10g–12c
• Microsoft SQL Server 2005–2016
• MySQL 5.5–5.7
• MariaDB (MySQL-compatible data source)
• PostgreSQL 9.3–9.5
• SAP ASE 15.7+
RDS instance databases:
• Oracle Database 11g–12c
• Microsoft SQL Server 2008 R2 - 2014
• MySQL 5.5–5.7
• MariaDB (MySQL-compatible data source)
• PostgreSQL 9.3–9.5
• Amazon Aurora (MySQL-compatible data source)
Amazon Redshift
AWS Database Migration service pricing
T2 for developing and periodic data migration tasks
C4 for large databases and minimizing time
T2 pricing starts at $0.018 per hour for T2.micro
C4 pricing starts at $0.154 per hour for C4.large
50 GB GP2 storage included with T2 instances
100 GB GP2 storage included with C4 instances
Data transfer inbound and within AZ is free
Data transfer across AZs starts at $0.01 per GB
Database migration process
Expedia: Online travel marketplace
 Migrating some databases to Amazon Aurora
 Kuldeep Chowhan, Principal Engineer, Expedia, Inc.:
“The ease by which we can do this using the AWS
Database Migration Service has simplified this process
for us and enabled us to accelerate our migration efforts.
The ability to closely monitor the process, the detailed
logging feature, and the support we received from AWS
have given us a great deal of confidence in a successful
migration.”
World’s leading online travel
company, with a portfolio that
includes 150+ travel sites in 70
countries.
Thomas Publishing: Digital-friendly business
 Needed to grow database footprint but using Oracle
would require significant up front investment in both
infrastructure and license expense
 Wanted to migrate to Amazon Aurora
 AWS DMS automated most of the work and
dramatically reduced the manual effort involved in the
code migration
 Hans Wald, Chief Technology Officer, Thomas
Publishing:
 "The AWS Database Migration Service will be a
key enabler for our plans to migrate more
databases to Amazon Aurora in 2016.”
Connecting buyers and suppliers
across all industrial sectors, evolving
from an industrial trade print
publisher into industry’s most
respected group of digital-friendly
businesses.
Resources available to customers—DMS
Getting Started Guide: Review technical
documentation.
Features and benefits: Highlights DMS
features.
Pricing: Prices for replication instances,
storage, and data transfer.
Support: Post your questions to our
Support forum.
Java SDK: Java-based API for creating
and managing data migration tasks.
AWS Command Line Interface: Start
and stop replication tasks with simple
commands.
Resources available to customers—
AWS Schema Conversion Tool
User Guide: Review technical docs at
aws.amazon.com/documentation/SchemaConversionTool/
or choose the Download button.
Download area: Get installation files for the
Schema Conversion Tool.
Support forums: Ask questions and review
how-to guides.
https://forums.aws.amazon.com/forum.jspa?forumID=208.
AWS database migration partners
Remember to complete
your evaluations!
Thank you!

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Database migration simple, cross-engine and cross-platform migrations with minimal downtime - Toronto

  • 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. John Winford, Technical Program Manager September 28, 2016 Database Migration Simple, Cross-Engine and Cross-Platform Migrations with Minimal Downtime
  • 2. Agenda • How does the cloud help? • How do I get there? • How does it work? • What have others done? • Are there any tricks? Where is the magic? • Show me!
  • 3. Relational databases Fully managed Simple and fast to scale Fast, predictable performance Low cost, pay for what you use Amazon RDS Amazon Aurora
  • 4. How does the cloud help? Provision a database in 6 minutes Provision an MAZ database with a few mouse clicks Scale a database up/down with 60–90 seconds of downtime Apply patches with 60–90 seconds of downtime Add Read Replicas with a few mouse clicks Protect your backups and logs with 11 9s of durability Recover to any point in time from nightly backups + logs Detailed metrics, down to 1-second intervals Secure your data with single-click encryption at rest Amazon RDS
  • 5. How can I get to the cloud? How will my on-premises data migrate to the cloud? How can I make it transparent to my users? Afterwards, how will on-premises and cloud data interact? How can I integrate my data assets within AWS? Can I get help moving off of commercial databases?
  • 6. Migration used to be cost + complexity + time Commercial data migration and replication software Complex to set up and manage Application downtime Database-engine-specific application code
  • 7. Start your first migration in 10 minutes or less Keep your apps running during the migration Replicate within, to, or from Amazon EC2 or RDS Move data to the same or a different database engine AWS Database Migration Service (AWS DMS)
  • 8. Customer premises Application users AWS Internet VPN Start a replication instance Connect to source and target databases Select tables, schemas, or databases  Let AWS DMS create tables, load data, and keep them in sync  Switch applications over to the target at your convenience Keep your apps running during the migration AWS DMS
  • 9. Load is table by table Replication instance Source Target
  • 10. Change data capture (CDC) and apply Replication instance Source Target Update t1 t2 t1 t2 Transactions Change apply after bulk load
  • 11. Multi-AZ option for high availability Customer premises or AWS AWS Internet VPN AWS DMS AWS DMS
  • 15. AWS Schema Conversion Tool Features Oracle and Microsoft SQL Server schema conversion to MySQL, Amazon Aurora, MariaDB, and PostgreSQL Or convert your schema between PostgreSQL and any MySQL engine Database Migration Assessment report for choosing the best target engine Code browser that highlights places where manual edits are required Secure connections to your databases with SSL Cloud native code optimization The AWS Schema Conversion Tool helps automate many database schema and code conversion tasks when migrating between database engines or data warehouse engines
  • 16. AWS Schema Conversion Tool Converts relational databases Converts warehouses
  • 17. SCT helps with converting tables, views, and code Sequences User-defined types Synonyms Packages Stored procedures Functions Triggers Schemas Tables Indexes Views Sort and distribution keys
  • 18. Split out demo with AWS Schema Conversion Tool
  • 19. Take it all—or not Source Target Replication instance instance
  • 20. Homogenous or heterogeneous Replication instance SQL Server MySQL Replication instance Oracle Oracle Replication instance Oracle Aurora
  • 21. Other database migration use cases Migration of business-critical applications Migration from Classic to VPC Cheap Read Replicas for Oracle Read Replicas for other engines Cross-region Read Replicas for Oracle and SQL Server Analytics in the cloud Dev/test and production environment sync Ongoing replication for BI
  • 23. Sources for AWS Database Migration Service Customers use the following databases as a source for data migration using AWS DMS: On-premises and Amazon EC2 instance databases: • Oracle Database 10g–12c • Microsoft SQL Server 2005–2014 • MySQL 5.5–5.7 • MariaDB (MySQL-compatible data source) • PostgreSQL 9.4–9.5 • SAP ASE 15.7+ RDS instance databases: • Oracle Database 11g–12c • Microsoft SQL Server 2008R2–2014. CDC operations are not supported yet. • MySQL versions 5.5–5.7 • MariaDB (MySQL-compatible data source) • PostgreSQL 9.4–9.5. CDC operations are not supported yet. • Amazon Aurora (MySQL-compatible data source)
  • 24. Targets for AWS Database Migration Service Customers can use the following databases as a target for data replication using AWS DMS: On-premises and EC2 instance databases: • Oracle Database 10g–12c • Microsoft SQL Server 2005–2016 • MySQL 5.5–5.7 • MariaDB (MySQL-compatible data source) • PostgreSQL 9.3–9.5 • SAP ASE 15.7+ RDS instance databases: • Oracle Database 11g–12c • Microsoft SQL Server 2008 R2 - 2014 • MySQL 5.5–5.7 • MariaDB (MySQL-compatible data source) • PostgreSQL 9.3–9.5 • Amazon Aurora (MySQL-compatible data source) Amazon Redshift
  • 25. AWS Database Migration service pricing T2 for developing and periodic data migration tasks C4 for large databases and minimizing time T2 pricing starts at $0.018 per hour for T2.micro C4 pricing starts at $0.154 per hour for C4.large 50 GB GP2 storage included with T2 instances 100 GB GP2 storage included with C4 instances Data transfer inbound and within AZ is free Data transfer across AZs starts at $0.01 per GB
  • 27. Expedia: Online travel marketplace  Migrating some databases to Amazon Aurora  Kuldeep Chowhan, Principal Engineer, Expedia, Inc.: “The ease by which we can do this using the AWS Database Migration Service has simplified this process for us and enabled us to accelerate our migration efforts. The ability to closely monitor the process, the detailed logging feature, and the support we received from AWS have given us a great deal of confidence in a successful migration.” World’s leading online travel company, with a portfolio that includes 150+ travel sites in 70 countries.
  • 28. Thomas Publishing: Digital-friendly business  Needed to grow database footprint but using Oracle would require significant up front investment in both infrastructure and license expense  Wanted to migrate to Amazon Aurora  AWS DMS automated most of the work and dramatically reduced the manual effort involved in the code migration  Hans Wald, Chief Technology Officer, Thomas Publishing:  "The AWS Database Migration Service will be a key enabler for our plans to migrate more databases to Amazon Aurora in 2016.” Connecting buyers and suppliers across all industrial sectors, evolving from an industrial trade print publisher into industry’s most respected group of digital-friendly businesses.
  • 29. Resources available to customers—DMS Getting Started Guide: Review technical documentation. Features and benefits: Highlights DMS features. Pricing: Prices for replication instances, storage, and data transfer. Support: Post your questions to our Support forum. Java SDK: Java-based API for creating and managing data migration tasks. AWS Command Line Interface: Start and stop replication tasks with simple commands.
  • 30. Resources available to customers— AWS Schema Conversion Tool User Guide: Review technical docs at aws.amazon.com/documentation/SchemaConversionTool/ or choose the Download button. Download area: Get installation files for the Schema Conversion Tool. Support forums: Ask questions and review how-to guides. https://forums.aws.amazon.com/forum.jspa?forumID=208.