In this workshop, we explore different strategies and options for migrating Microsoft SQL databases to AWS. We cover the migration process, mechanisms, best practices, version and object compatibility, and licensing. We walk you through the migration plan and activities, landing zone, and what you need to consider before migrating. We also discuss the different tools that you can use for migration, monitoring, and backup and recovery.

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AWS re:INVENT
Strategies for Migrating Microsoft
SQL Databases to AWS
T o m S t a a b – P a r t n e r S o l u t i o n s A r c h i t e c t
A h m e d O m r a n – M i g r a t i o n S o l u t i o n s A r c h i t e c t
B r a j e n d r a S i n g h – M i c r o s o f t S o l u t i o n s A r c h i t e c t
W I N 3 1 4
N o v e m b e r 2 9 , 2 0 1 7

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Why are customers choosing to move their
SQL Server workloads to AWS?

3. What sets AWS apart?
Building and managing cloud since 2006
90+ services to support any cloud workload; rapid
customer driven releases
16 regions, 44 availability zones, 98 edge locations
Tens of thousands of partners;
4,100+ Marketplace products
Experience: 1M+ customers
Service breadth and depth; pace of innovation
Global footprint
Ecosystem
Fine-grained controlSecurity
Fully integrated in AWSArtificial intelligence
AWS is positioned highest in execution and furthest
in vision within the Leaders Quadrant
Enterprise leader

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Accelerate innovation Reduce costs Strengthen security posture
Easily manage
and scale
Improve uptime
and performance
Why are customers moving Microsoft
workloads to AWS?

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Why are customers choosing to move their
SQL Server workloads to AWS?
“We concluded that migrating to AWS would be the most cost-
effective strategy, and the agility of the AWS Cloud model fit our
SQL Server workloads perfectly. The Ven.ue platform has
definitely benefited from the scalability and performance of AWS,
so that gave us a lot of confidence.” —Mike Gassner, Sr. Vice
President, Technology Solutions, Sony DADC New Media Solutions
“A lot of our SQL Server workloads can push 15,000 IOPs
continuously, for long periods of time. We really liked the
performance and value we saw in the Amazon EC2 I2 instances.” —
Randy Young, Director of Cloud Operations, Infor

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Where can I run my SQL Server
workloads on AWS?
Amazon Relational Database Service
(Amazon RDS)
Amazon Elastic Compute Cloud (Amazon
EC2)
Managed service with up to 32 vCPU, 244 GB RAM, and 16 TB storage
Self-managed virtual machine with up to 128 vCPU, 4 TB RAM, and 400 TB storage

7. Amazon RDS for SQL Server SQL Server on Amazon EC2
Power, HVAC, net
OS Install/Maintenance
OS Patching
DBMS Install/Maintenance
DBMS Patching
Database Backups
High Availability
Scaling
AWS managed Customer managed
Power, HVAC, net
OS Install/Maintenance
OS Patching
DBMS Install/Maintenance
DBMS Patching
Database Backups
High Availability
Scaling
• Consider RDS first
• Focus on business
value tasks
• High-level tuning
• Schema
optimization
• No in-house
database expertise
• Need full control over
DB instance
• Replication
• Clustering
• Options that are not
available in RDS
Options for deploying SQL Server on AWS

8. Multi-AZ SQL Server on Amazon RDS
Availability Zone 1
Private Subnet
Availability Zone 2
AWS Region
Amazon
RDS
Primary
Amazon
RDS
Secondary
Private Subnet
Automatic
Failover

9. Multi-AZ SQL Server on Amazon RDS
Availability Zone 1
Private Subnet
Availability Zone 2
AWS Region
Amazon
RDS
Primary
Amazon
RDS
Secondary
Private Subnet
Automatic
Failover
Managed Service

10. Multi-AZ AlwaysOn Availability Group
Availability Zone 1
Private Subnet
Availability Zone 2
Private Subnet
AWS Region
Amazon
EC2
Primary
Replica
Amazon
EC2
Secondary
Replica
Synchronous Commit
Automatic Failover

11. Multi-region Always On availability group
Availability Zone 1
Private Subnet
AWS Region A
Availability Zone 2
Private Subnet
Availability Zone 1
Private Subnet
AWS Region B
Elastic IP Elastic IP
VPN
Amazon
EC2
Primary
Replica
Amazon
EC2
Secondary
Replica
Amazon
EC2
Secondary
Replica
Synchronous Commit
Automatic Failover
Asynchronous Commit
Manual Failover

12. Multi-AZ failover cluster instance
Amazon EBS Amazon EBS
Availability Zone 1
Private Subnet
Availability Zone 2
Private Subnet
AWS Region
Amazon
EC2
Primary
Replica
Amazon
EC2
Secondary
Replica
Data Replication

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Licensing SQL Server on AWS
AWS Licensing
Buy license-included
instances from AWS
Bring licenses to AWS
Dedicated options for
licenses not eligible for
license mobility
Default tenancy for
license mobility eligible
products with software
assurance

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Migrating SQL Server to AWS
Amazon
EC2
Amazon
EBS
Amazon
RDS

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Simple backup/restore migrations
Amazon RDS
Amazon EC2

16. What are AWS DMS and AWS SCT?
AWS Database Migration Service (AWS DMS) easily and
securely migrates and/or replicates your databases and data
warehouses to AWS
AWS Schema Conversion Tool (AWS SCT) converts your commercial
database and data warehouse schemas to open-source engines or
AWS-native services, such as Amazon Aurora and Amazon Redshift
Over 35,000 databases migrated and counting …

17. When to use AWS DMS and AWS SCT?
Modernize Migrate Replicate
Modernize your database tier –
• Commercial to open-source
• Commercial to Amazon Aurora
Modernize your data warehouse –
• Commercial to Amazon Redshift
• Migrate business-critical
applications
• Migrate from classic to VPC
• Migrate data warehouse to
Amazon Redshift
• Upgrade to a minor version
• Consolidate shards into Amazon
Aurora
• Create cross-regions read replicas
• Run your analytics in the cloud
• Keep your dev/test and production
environment sync

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AWS Database Migration Service
GPSWKS408
GPS: Migrate Your Databases with AWS Database Migration Service and
AWS Schema Conversion Tool

19. On-Premises Datacenter
Availability Zone 1
Private Subnet
AWS Region
Amazon
EC2
Secondary
Replica
Synchronous Commit
Automatic Failover
Asynchronous Commit
Manual Failover
Leveraging DR for migration
Primary
Replica
Secondary
Replica

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Microsoft competency partners
database solutions

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Migration demonstration

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How would you do it?
Grab a number and break into groups
Limited amount of time:
15 minutes – Read the case study
15 minutes – Requirements Q&A
30 minutes – Brainstorming and whiteboarding
15 minutes – Prepare your solution summary
Remaining – Group findings and discussion
Tips:
• Don’t sweat the details; just make assumptions (tech or
otherwise) and keep going
• Give everyone (who wants to) 2 minutes to share an idea during
the brainstorming step
• Nominate roles: notetaker, whiteboarder, moderator, and so on
AWSome
Corp

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Thank you!