Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and re-sizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business.

1. Amazon RDS
Running Low Admin
High Performance Databases
in the Cloud
Shakil Langha (slangha@amazon.com)
Business Development Manager
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2. What is AWS?
Deployment & Administration
Application Services
Compute Storage Database
Networking
AWS Global Infrastructure
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3. AWS Database Amazon Redshift
Services Fast, Powerful, Fully Managed, Petabyte-Scale
Data Warehouse Service
Amazon DynamoDB
Scalable High Performance Application Storage in the Fast, Predictable, Highly-Scalable NoSQL Data Store
Cloud
Amazon RDS
Deployment & Administration Managed Relational Database Service for
MySQL, Oracle and SQL Server
Application Services
Amazon ElastiCache
In-Memory Caching Service
Compute Storage Database
Networking
AWS Global Infrastructure
©2013, Amazon Web Services LLC or its affiliates. All rights reserved.

4. AWS Database Amazon Redshift
Services Fast, Powerful, Fully Managed, Petabyte-Scale
Data Warehouse Service
Amazon DynamoDB
Scalable High Performance Application Storage in the Fast, Predictable, Highly-Scalable NoSQL Data Store
Cloud
Amazon RDS
Deployment & Administration Managed Relational Database Service for
MySQL, Oracle and SQL Server
Application Services
Amazon ElastiCache
In-Memory Caching Service
Compute Storage Database
Networking
AWS Global Infrastructure
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5. Why Managed Databases?
security
documentation, licensing & planning scripting & coding
training
5% 5% performance tuning
install, upgrade, patch and 40% 25%
migrate
differentiated effort increases the
backup & recovery,
data load & unload uniqueness
of an application
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6. Amazon RDS
RDS is a fully managed relational database service that is simple to deploy, easy to scale,
reliable and cost-effective
Choice of DB Engines and Application Compatibility
Ease of Deployment and Patching
Automated Backups and Disaster Recovery
User Snapshots and Cloning
Push Button Scalability
Monitoring and Automatic Host Replacement
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7. Case Study: Samsung saved $34M
Problem
Needed to reduce IT costs and were looking to
create a more flexible IT environment
Solution
AWS and RDS services. With every request, the
application authenticates devices, delivers apps
and content, and pushes notifications.
Business Benefits
Saved $34M in hardware and maintenance
expenses, 85% less than running on-premises
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8. Case Study: Gumi serves millions of users
Problem
Outgrew existing IT environment
Solution
AWS’s elasticity made it easy to respond to
demand peaks and saved money during off
peak times
Business Benefits
Scaled to handle 10 million visitors per day
Reduced time-to-market and dev time
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9. Case Study: Intuit Live Community
Challenges
Time to Market – Faster release cycles
Cost – Millions of users, Seasonal peaks
Reliability – Fast, Always ON
Solution
Use Amazon EC2, RDS, CloudFormation
Multiple Availability Zones (by default)
Business Benefits
Uptime greater than 99.9%
Hands free recovery using Amazon RDS
Monthly to weekly release cycles
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10. Flipboard Serves Billions of Pages With RDS
Challenges
6 months to deploy a real-time, socially relevant magazine
5 million users, 2 billion page flips per month
Allow frequent changes system and user requirements
Solution
Amazon EC2, RDS, ElastiCache
Multiple Availability Zones
Business Benefits
High performance, reliable, proven DB technology
Better Response time (Milliseconds) and uptime
Complex queries on user and relevancy data
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11. Low Admin
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12. Key Features
• Manageability
• Rapid deployment with pre-configured parameters
• Patch Management
• Monitoring and Metrics
• Availability and Data Durability
• Automated Backups and Point-In-Time-Recovery
• DB Snapshots
• Automatic Host Replacement (Single-AZ)
• Multi-AZ deployments
• Scalability
• Push-Button Scaling (Storage, Memory and Compute)
• Read Replicas
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13. Rapid deployment via Web Console
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14. Backups and Recovery
• DB Snapshots
• User-driven snapshots of database
• Kept until explicitly deleted
• Automated Backups
• Nightly system snapshots + transaction backup
• Enables point-in-time restore to any point in retention period, up to the last 5 minutes
• Max retention period = 35 days
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15. Push Button Scaling
• Scale nodes vertically up or down
• M1.small (1 virtual core, 1.7GB)
• M2.4XLarge (8 virtual cores, 64GB)
• Scale out nodes horizontally
• Shard based on data or workload characteristics
• Scale Storage vertically without incurring downtime
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16. High Availability: Multi-AZ Deployments
• Enterprise-grade fault tolerance solution for production databases
• With a few clicks, Amazon RDS creates and synchronously maintains a standby in a different Availability
Zone
• Automatic failover in case of:
• Loss of availability in primary AZ
• Loss of connectivity to primary
• Host or storage failure on primary
• Vertical Scaling
• Software patching
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17. Creating High Availability Databases
Do It Yourself MySQL replication Amazon RDS Multi-AZ
Set up primary and standby instances
Set up identical volumes
Create synchronous replication
Create and manage DNS entries
Detect instance failure conditions
Detect network failure conditions
Detect storage failure conditions
Decide when to fail-over….
Re-establish primary secondary connections.
Potentially ~100+ Manual steps HA with a mouse click
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18. Horizontal Scaling with Read Replicas
• Add Read Replicas
• Horizontal scaling of read heavy workloads
• Offload reporting
• Keep in mind
• Asynchronous, native tech
• Single threaded and brittle
• Currently available for MySQL
• Overcoming challenges
• RDS makes it easy to re-create if fallen behind
• Deploy a proxy to round robin requests
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19. Creating a Read Replica
Do It Yourself MySQL Read Replica Amazon RDS Read Replica
~30+ manual steps Read Replica with a mouse click
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20. High Performance
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21. High Performance RDS
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22. “We leveraged Amazon RDS Provisioned IOPS to decrease processing time for our Oracle applications
from 96 to 24 hours.”
- Adam Kierce,
Principal and Co-Founder
The Story Business Benefit
• Australian consulting firm that provides software development services to the energy, • Able to run applications on AWS without changing the existing technology
telecommunications, finance and retail industries stack or user interface
• Enterprise clients found the Oracle-based applications costly to run on an on-premises • Test confirmed that utilizing Amazon RDS for Oracle Database and Amazon
infrastructure RDS Provisioned IOPS reduced processing time from 96 to 24 hours
• Shine wanted to run the applications as a cloud-based service but had to port a large, ten- • Estimates a 50% cost savings over a three-year period
year-old Oracle Database
• Using Amazon RDS for Oracle Database, Amazon RDS Provisioned IOPS, Amazon EC2,
Amazon VPC, and Multi-AZ
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23. Provisioned IOPS: Details
Provision up to 3TB and 30,000 IOPS
Engine Max IOPS for m2.4xlarge
Oracle (3TB) 25,000
MySQL (3TB) 12,500
SQL Server (1TB) 10,000
Provisioning more than max per engine reduces latency
Convert from Standard to Provisioned IOPS storage
Scale storage and IOPS independently on-line
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24. Parameters of RDS Performance
Instance Size
CPU
Memory
Bandwidth
P-IOPS Optimized
Provisioned IOPS
I/O Performance
Allocated Storage
# of Storage Volumes
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25. RDS for Production Workloads
Multi-AZ
Amazon RDS Improve Increase Reduce
Configuration Availability Throughput Latency
Push-Button Scaling
Multi AZ
Read Replicas Availability zone Availability zone
Provisioned IOPS Region
Push-Button Scaling Read Replicas Provisioned IOPS
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26. Data Migration
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27. Migrating to RDS
Basic Advanced
Not Supported
Migrations Migrations
Incremental
Export/Import
Loads
Restore from
backup
Bulk Load 3rd Party Tools
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28. Basic Migration
On Premises AWS
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29. RDS Basic Migration
Advantages
MySQL Oracle SQL Server • Simple
• Ideal for initial load
• Can be used for small
Gen./Publish
mysqldump Data Pump or large datasets
Scripts
Disadvantages
mysqlimport SQL*Loader Bulk Copy
• Requires downtime
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30. Advanced Migration
T2 T1 T2
T1
DB Copy Dump
Backup
Apply Delta Changes
On Premise AWS
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31. RDS Advanced Migration
Advantages
MySQL Oracle SQL Server • Incremental loads
• Inbound replication
• Minimizes downtime
Mview Linked
mysqlbinlog
replication Servers
Disadvantages
• Complex
Tungsten GoldenGate
SSIS
Replicator Dbvisit
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32. Post-migration Steps
• Turn on Backups
• Turn on Multi-AZ
• Create Read Replicas
• Tighten down security
• Notifications via CloudWatch, DBEvents
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33. More Information
• RDS Home Page: https://aws.amazon.com/rds/
• RDS FAQs: http://aws.amazon.com/rds/faqs/
• RDS Webinars: https://aws.amazon.com/resources/databaseservices/webinars/
• RDS MySQL Import: http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/MySQL.Procedural.Importing.html
• RDS SQL Server Import: http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/SQLServer.Procedural.Importing.html
• RDS Oracle Import: http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Oracle.Procedural.Importing.html
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34. Questions?
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