The document discusses database options on AWS. It provides an overview of AWS services for relational databases like RDS, NoSQL databases like DynamoDB, caching with ElastiCache, and data warehousing with Redshift. It emphasizes that these services are fully managed, easy to use, and allow focusing on application development rather than database operations. The document aims to help users understand which database option is best suited to their application's needs in terms of scalability, performance, and operational effort.

1. Jeff Barr
Chief Evangelist, AWS
18 July, 2013
Understanding Database Options on
AWS

2. We want to make it easy for you to go from
1. Zero to Application in ____ Minutes
2. Zero to Millions of users in ____ Days
3. Zero to “Profits!” ASAP

3. Focus on your application

4. Spectrum of options
SQL NoSQL
Low Cost High Cost

Do-it-yourself Fully Managed
Not available
on AWS

5. Spectrum of options
SQL NoSQL
Do-it-yourself Fully Managed

6. RDS
- MySQL
- Oracle
- SQL Server
Spectrum of options
SQL NoSQL
Do-it-yourself Fully ManagedMySQL
Oracle
SQL Server
PostgreSQL
Your favorite RDBMS

7. Spectrum of options
SQL NoSQL
Do-it-yourself Fully Managed
MongoDB
Cassandra
Redis
Memcache
Amazon DynamoDB
Amazon ElastiCache

8. Thinking about the questions
Should I use SQL or
NoSQL?
Should I use MySQL
on EC2 or RDS?
Should I use
MongoDB,
Cassandra, or
DynamoDB?
Should I use Redis,
Memcache, or
ElastiCache?
?

9. Actually, thinking about the right questions
What are my scale
and latency needs?
What are my
transactional and
consistency needs?
What are my
read/write, storage
and IOPS needs?
What are my time to
market and server
control needs?
?

10. What’s important for your application and your team?
Factors SQL NoSQL
Application • App with complex business logic? • Web app with lots of users?
Transactions • Complex transactions, joins, updates? • Simple data model, updates, queries?
Scale • Developer managed • Automatic, on-demand scaling
Performance • Developer architected • Consistent, high performance at scale
Availability • Architected for fail-over • Seamless and transparent
Core Skills • SQL + Java/Ruby/Python/PHP • NoSQL + Java/Ruby/Python/PHP
Best of both worlds: Use both SQL and NoSQL models in one app

11. Where do you want to spend your time?
Factors Do it Yourself (DIY) Fully Managed
Replication • Granular, app managed
• Transparent to the app and configured by the
service
Monitoring • Specific agents and custom • Automated and API driven
Security • Root access, custom configurations • Hardened by the service
Resources • Requires more dev resources and time • Requires minimal dev resources and time
Time to market • Sophistication vs. speed • Rapid iteration
Required Skills • Systems, databases, monitoring focused • Application development, User centric
Best of both worlds: Possible to manage different tiers differently

13. We believe in choice – one size does not fit all
Amazon
RDS
+
ElastiCache
Amazon
DynamoDB
Amazon
Redshift
Traditional Apps
Relational DB Needs
New Web Apps
Massive Scalability
High Performance, High
Scale Data Warehouses

14. Amazon RDS is a fully managed SQL database service
Simple to deploy and scale
Without any operational burden
Reliable and cost effective
Choice of database engines

15. Schema design
Frequent server upgrades
Storage upgrades
Backup and recovery
Software upgrades
Patching
Hardware mgmt.
Query construction
Query optimization
Configuration management
Migration
Offload the “muck” to RDS
Focus on the App “innovation”
Amazon RDS drives developer and IT productivity

16. Amazon RDS
Configuration
Improve
Availability
Increase
Throughput
Reduce
Latency
Push-Button Scaling
Multi-AZ
Read Replicas
Provisioned IOPS
Read ReplicasPush-Button Scaling Provisioned IOPS
Region
Multi-AZ
Availability
Zone
Availability
Zone
Amazon RDS high availability and performance options

17. Amazon RDS Read Replica
A few clicks or one API call
Do-it-yourself MySQL Read Replica
~30+ manual steps
Creating a read replica

18. Amazon RDS Multi-AZ
A few clicks or one API call
Do-it-yourself MySQL on AWS
Potentially ~100+ manual steps
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.
Creating high availability database deployments

19. Who is succeeding with RDS?
More than 30,000 developers use RDS every single day
Gaming Web Apps Mobile/Social Media

20. Amazon RDS – Recently announced features
• RDS access via IAM
• MySQL 5.6
• RDS GA with SLA
• MySQL 5.1 to 5.5 version upgrade
• 3 TB database size & 30,000 IOPS
• Online conversion from Standard to Provisioned IOPS storage
• Stay tuned…

21. Easy to set up and operate
Scale cache clusters with push button ease
Without any operational burden
Ultra fast response time for read scaling
Amazon ElastiCache is a fully managed
Memcached-compatible caching service

22. Amazon ElastiCache – Recently announced features
• Free tier & new instance sizes (Micros and Mediums)
• Amazon VPC support
• Auto Discovery
• Stay tuned…

23. Store and retrieve any amount of data
Scale throughput to millions of I/O
Without any operational burden
Single-digit millisecond latencies
From the creators of the first NoSQL technology
Amazon DynamoDB is a fully managed NoSQL
database service

24. Do-it-yourself NoSQL on AWS Amazon DynamoDB
Potentially ~100s of manual steps Three clicks or one API call
Select the right NoSQL Database engine
Deploy hardware configurations
Set up software configurations
Decide and deploy replication configurations
Create and manage DNS entries
Detect instance failure conditions
Detect network failure conditions
Detect storage failure conditions
Decide when to fail-over….
Re-establish application connections.
Creating NoSQL deployment on AWS

25. Amazon DynamoDB: who is succeeding with it?

26. Data warehousing done the AWS way
• No upfront costs, pay as you go
• Really fast performance at a really low price
• Open and flexible with support for popular tools
• Easy to provision and scale up massively

27. Amazon Redshift is a fast, powerful, fully managed,
petabyte-scale data warehouse service
10x cheaper
Without any operational burden
Easy to use
10x faster

28. Amazon Redshift architecture
• Columnar, massively parallel processing (MPP)
• Scales from hundreds of gigabytes to a
petabyte or more
• Connects to standard SQL-based clients and BI
tools using JDBC/ODBC via Postgres drivers
• Fully-managed service
• Pay as you go, no software license fees
• VPC, SSL, and transparent data encryption
10 GigE
(HPC)
Ingestion
Backup
Restore
JDBC/ODBC

29. Resources & Questions
• http://aws.amazon.com/dynamodb
http://aws.amazon.com/rds
http://aws.amazon.com/elasticache
http://aws.amazon.com/redshift
• https://aws.amazon.com/marketplace

30. Technical Track