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© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
John Winford, Technical Program Manager
June 30, 2016
Sponsored by:
Database Migration
Simple, Cross-Engine and Cross-Platform Migrations with Minimal Downtime
Zero business disruption made possible by Automation (Ai) and
Knowledge (Ki) centric migration approach
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 a MAZ database with a few mouse clicks
Scale a database up/down with 60-90 seconds downtime
Apply patches with 60-90 seconds downtime
Add read replicas with a few mouse clicks
Protect your backups and logs with 11 9’s 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 setup 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
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
Database Migration
Service
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
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 SQL Server schema conversion to MySQL/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
The AWS Schema Conversion Tool helps
automate many database schema and code
conversion tasks when migrating from Oracle
and SQL Server to open source database
engines.
SCT helps with converting tables, views, & code
Sequences
User Defined Types
Synonyms
Packages
Stored Procedures
Functions
Triggers
Schemas
Tables
Indexes
Views
Split Out Demo
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 on other engines
Cross region read replicas for Oracle and SQL Server
Analytics in the Cloud
Dev/Test and Production environment sync.
Redshift Demo
Sources for AWS Database Migration Service
Customers can 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
Amazon 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 Amazon EC2 instance databases:
• Oracle Database 10g – 12c
• Microsoft SQL Server 2005 – 2014
• MySQL 5.5 – 5.7
• MariaDB (MySQL-compatible data source)
• PostgreSQL 9.3 – 9.5
Amazon RDS instance databases:
• Oracle Database11g – 12c
• Microsoft SQL Server 2008R2 - 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
50GB GP2 storage included with T2 instances
100GB 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: On-line 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 upfront investment in both
infrastructure and license expense.
 Wanted to migrate to Amazon Aurora
 Database Migration Service 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 Support
forum.
Java SDK: Java-based API for creating
and managing data migration tasks.
Command Line Interface: Start/stop
replication tasks with simple commands.
Resources Available to Customers - SCT
User Guide: Review technical docs at
aws.amazon.com/documentation/SchemaConversionTool/
or click the Download button
Download Area: Get installation files for
AWS Schema Conversion Tool
Support Forums: Ask questions and review
How-To Guides
https://forums.aws.amazon.com/forum.jspa?forumID=208
29
Infosys Cloud Migration Suite
Solution suites and accelerators for AWS Cloud
Workload Migration Planning Suite
Application and Database Migration Suite
Legacy Modernization Suite (Mainframe/AS400)
Cloud Assurance Suite (CloudOps)
Infosys MANATM platform - knowledge-based AI platform
Cloud DR Solution Suite built on CloudEndure
Cloud Optimization Suite built on Cloudyn
Cloud Quality Suite for ERP built on Panaya
Infosys’ Workload migration suite and DB migration playbook
30
Infosys’ database migration methodology follows a structured processes to ensure quality and integrity as each stage of
data migration needs, both for performing homogeneous and heterogeneous migration either within or across clouds.
Database
Discovery
Tool
Schema
Compare
Tool
Data
Migration
Tools
Database
Dependen
cy
Analyzer
Schema
and Data
Verificatio
n Tools
Infosys DB
Migration
Suite
Database
Discovery
Tool
Adopting Cloud – Database Migration Use Cases
31
• Built high availability solution using AWS EC2 and
RDS services
• Leveraged Infosys and AWS tools to migrate over 30
TB data
Multiple data sources to AWS Cloud - Databases –
Siebel, Oracle Exadata, Sharepoint
Leading Australian wealth management company
migrates to AWS database services
• Built custom data pipeline using Lambda, S3,
Kinesis, Ec2, Apache Flume, and Spark to process
data
• 100 TB of inventory, price and product data migrated
to cloud
Database migration for realtime data streaming
and ETL in AWS Cloud
Infosys enables leading US fashion retailer to adopt
“Cloud First” strategy
Reduced the migration time by 1/3rd
2 digit millisecond response from NoSQL storage for
data processing in comparison to several seconds with
on-premises data warehouse
Build with Infosys cloud migration methodologies,
tools and accelerators
Migrating to AWS has Never Been So Easy
32
Align with AWS Cloud Adoption
Framework
Discovery
Workshop
• Adoption Roadmap
• Activity Matrix
• Prioritized Initiatives
• Assessment
On-ramp
Work Streams
• Architecture
• Security
• Operations
• DevOps
• TCO / ROI
Foundation – Get it right
Strategy to Execution
Accelerate – Scale with quality
1. Cloud Foundation - Security and
Architecture
2. Workload Analysis and Migration Planning
3. Application Refactoring / Migration
4. Cloud Automation and DevOps
5. Managed Cloud Operations
Thank You!

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

  • 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. John Winford, Technical Program Manager June 30, 2016 Sponsored by: Database Migration Simple, Cross-Engine and Cross-Platform Migrations with Minimal Downtime Zero business disruption made possible by Automation (Ai) and Knowledge (Ki) centric migration approach
  • 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 a MAZ database with a few mouse clicks Scale a database up/down with 60-90 seconds downtime Apply patches with 60-90 seconds downtime Add read replicas with a few mouse clicks Protect your backups and logs with 11 9’s 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 setup 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
  • 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 Database Migration Service
  • 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
  • 14. AWS Schema Conversion Tool Features Oracle and SQL Server schema conversion to MySQL/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 The AWS Schema Conversion Tool helps automate many database schema and code conversion tasks when migrating from Oracle and SQL Server to open source database engines.
  • 15. SCT helps with converting tables, views, & code Sequences User Defined Types Synonyms Packages Stored Procedures Functions Triggers Schemas Tables Indexes Views
  • 17. Take it All – Or Not Source Target Replication instance instance
  • 18. Homogenous or Heterogeneous Replication instance SQL Server MySQL Replication instance Oracle Oracle Replication instance Oracle Aurora
  • 19. Other Database Migration Use Cases Migration of business critical applications Migration from Classic to VPC Cheap read replicas for Oracle Read replicas on other engines Cross region read replicas for Oracle and SQL Server Analytics in the Cloud Dev/Test and Production environment sync.
  • 21. Sources for AWS Database Migration Service Customers can 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 Amazon 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)
  • 22. Targets for AWS Database Migration Service Customers can use the following databases as a target for data replication 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 9.3 – 9.5 Amazon RDS instance databases: • Oracle Database11g – 12c • Microsoft SQL Server 2008R2 - 2014 • MySQL 5.5 – 5.7 • MariaDB (MySQL-compatible data source) • PostgreSQL 9.3 – 9.5 • Amazon Aurora (MySQL-compatible data source) Amazon Redshift
  • 23. 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 50GB GP2 storage included with T2 instances 100GB GP2 storage included with C4 instances Data transfer inbound and within AZ is free Data transfer across AZs starts at $0.01 per GB
  • 25. Expedia: On-line 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.
  • 26. Thomas Publishing: Digital-Friendly Business  Needed to grow database footprint but using Oracle would require significant upfront investment in both infrastructure and license expense.  Wanted to migrate to Amazon Aurora  Database Migration Service 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.
  • 27. 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 Support forum. Java SDK: Java-based API for creating and managing data migration tasks. Command Line Interface: Start/stop replication tasks with simple commands.
  • 28. Resources Available to Customers - SCT User Guide: Review technical docs at aws.amazon.com/documentation/SchemaConversionTool/ or click the Download button Download Area: Get installation files for AWS Schema Conversion Tool Support Forums: Ask questions and review How-To Guides https://forums.aws.amazon.com/forum.jspa?forumID=208
  • 29. 29 Infosys Cloud Migration Suite Solution suites and accelerators for AWS Cloud Workload Migration Planning Suite Application and Database Migration Suite Legacy Modernization Suite (Mainframe/AS400) Cloud Assurance Suite (CloudOps) Infosys MANATM platform - knowledge-based AI platform Cloud DR Solution Suite built on CloudEndure Cloud Optimization Suite built on Cloudyn Cloud Quality Suite for ERP built on Panaya
  • 30. Infosys’ Workload migration suite and DB migration playbook 30 Infosys’ database migration methodology follows a structured processes to ensure quality and integrity as each stage of data migration needs, both for performing homogeneous and heterogeneous migration either within or across clouds. Database Discovery Tool Schema Compare Tool Data Migration Tools Database Dependen cy Analyzer Schema and Data Verificatio n Tools Infosys DB Migration Suite Database Discovery Tool
  • 31. Adopting Cloud – Database Migration Use Cases 31 • Built high availability solution using AWS EC2 and RDS services • Leveraged Infosys and AWS tools to migrate over 30 TB data Multiple data sources to AWS Cloud - Databases – Siebel, Oracle Exadata, Sharepoint Leading Australian wealth management company migrates to AWS database services • Built custom data pipeline using Lambda, S3, Kinesis, Ec2, Apache Flume, and Spark to process data • 100 TB of inventory, price and product data migrated to cloud Database migration for realtime data streaming and ETL in AWS Cloud Infosys enables leading US fashion retailer to adopt “Cloud First” strategy Reduced the migration time by 1/3rd 2 digit millisecond response from NoSQL storage for data processing in comparison to several seconds with on-premises data warehouse
  • 32. Build with Infosys cloud migration methodologies, tools and accelerators Migrating to AWS has Never Been So Easy 32 Align with AWS Cloud Adoption Framework Discovery Workshop • Adoption Roadmap • Activity Matrix • Prioritized Initiatives • Assessment On-ramp Work Streams • Architecture • Security • Operations • DevOps • TCO / ROI Foundation – Get it right Strategy to Execution Accelerate – Scale with quality 1. Cloud Foundation - Security and Architecture 2. Workload Analysis and Migration Planning 3. Application Refactoring / Migration 4. Cloud Automation and DevOps 5. Managed Cloud Operations