In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We'll cover how each service might help support your application, how much each service costs, and how to get started.

1. November 12, 2014 | Las Vegas, NV

4. Power, HVAC, net
Rack & stack
Server maintenance
OS patches
DB s/w patches
Database backups
Scaling
High availability
DB s/w installs
OS installation
you
App optimization

5. Power, HVAC, net
Rack & stack
Server maintenance
OS patches
DB s/w patches
Database backups
Scaling
High availability
DB s/w installs
OS installation
you
App optimization

6. Power, HVAC, net
Rack & stack
Server maintenance
OS patches
DB s/w patches
Database backups
Scaling
High availability
DB s/w installs
OS installation
you
App optimization

7. OS patches
DB s/w patches
Database backups
Scaling
High availability
DB s/w installs
you
App optimization
Power, HVAC, net
Rack & stack
Server maintenance
OS installation

8. Power, HVAC, net
Rack & stack
Server maintenance
OS patches
DB s/w patches
Database backups
App optimization
High availability
DB s/w installs
OS installation
you
Scaling

9. Self-managed database AWS-managed database
You have full responsibility for
upgrades and backup
AWS provides upgrades, backup, and
failover as a service
You have full responsibility for security AWS provides high infrastructure
security, certifications; gives you tools
to ensure DB security
Full control over parameters of server,
OS, and database
Database is a managed appliance, so
you can easily automate
Replication is expensive, complex,
and requires a lot of engineering
AWS provides failover as a packaged
service

10. Amazon
DynamoDB
Document
and key-
value store
Amazon
RDS
SQL
database
engines
Amazon
ElastiCache
In-memory
cache
Amazon
Redshift
Data
warehouse

12. Amazon DynamoDB
Amazon DynamoDB

13. “By using DynamoDB, we
reduced delivery time for
video events to less than 50
milliseconds.”
— Greg Nelson, VP of
Software Engineering

14. table items
Attributes
(name/value
pairs)

15. Hash key
(DynamoDB maintains an
unordered index)

16. Hash key
Range key
(DynamoDB maintains a
sorted index)

17. Hash key
Range key
LSI key

18. Choose which
attributes
to project (if any)

19. Read
capacity units
Write
capacity units

20. 1 1
1 1
Pay to bearer
on demand
1 write per sec
of up to 1KB
1 1
1 1
Pay to bearer
on demand
1 read per sec
of up to 4KB
Eventually consistent reads at 50% off!
One write capacity unit
One read capacity unit

21. CreateTable
UpdateTable
DeleteTable
DescribeTable
ListTables
PutItem
GetItem
UpdateItem
DeleteItem
BatchGetItem
BatchWriteItem
Query
Scan
Manage tables
Query specific
items OR
scan full table
“Select”, “insert”,
“update” items
Bulk select or
update (max 1MB)

22. Elastic Load
Balancing Amazon EC2
App Instances
Clients
DynamoDB
Business logic

23. How DynamoDB billing works
Monthly
bill = GB +
Assumes DB instance accessed only from AWS region
Further details at http://aws.amazon.com/dynamodb/pricing/
≈ 5 GB * $0.25 +
21 * 720 hrs * $0.0065/10 +
35 * 720 hrs * $0.0065/50
≈ $14.36
Storage consumed
(plus 100 bytes per item)
Charge for
write capacity units
per hour
+
Charge for
read capacity units
per hour

24. How DynamoDB billing works
Monthly
bill = GB +
Assumes DB instance accessed only from AWS region
Further details at http://aws.amazon.com/dynamodb/pricing/
≈ 5 GB * $0.25 +
21 * 720 hrs * $0.0065/10 +
35 * 720 hrs * $0.0065/50
≈ $14.36
Storage consumed
(plus 100 bytes per item)
Charge for
write capacity units
per hour
+
Charge for
read capacity units
per hour
Before
AWS Free
Usage Tier

26. Amazon RDS
Amazon RDS

27. "We were able to go from
concept to delivered product
in about six months with just
a handful of engineers."
— Greg Scallan, Chief Architect

28. How Amazon RDS delivers high performance

29. How Amazon RDS backups work

30. Choose Multi-AZ

31. Choose Read Replicas for greater scalability
Native
MySQL
RDS

32. Choose cross-region snapshot copy for even greater durability,
ease of migration

33. Choose cross-region read replicas for enhanced data locality, even
more ease of migration

35. http://aws.amazon.com/rds/aurora/preview/

36. Amazon DynamoDB Amazon RDS

37. How Amazon RDS billing works
Monthly
bill = GB+
Assumes DB instance accessed only from Amazon EC2
Further details at http://aws.amazon.com/rds/pricing/
= 720 hrs * $0.37 + 100 GB * $0.115
= $279.05
db.m3.xlarge; MySQL;
Oregon; Single-AZ;
On-Demand
100 GB
General Purpose
(SSD)
4 vCPUs;
15 GiB
RAM

39. ElastiCache

40. 2U, Inc.
“ElastiCache helps us
specifically a lot around
our social and
collaborative tools…It just
works. We don’t even
know its there.”
— James Kenigsberg
Chief Technology Officer

42. Elastic Load
Balancing
Amazon EC2
App Instances
Clients
Amazon RDSAmazon
ElastiCache

43. How ElastiCache billing works
Monthly
bill = N ×
Further details at http://aws.amazon.com/elasticache/pricing/
= 4 nodes * 720 hrs * $0.182
= $524.16
Standard large; Oregon;
On-Demand
2 vCPUs;
7.1 GB
RAM

45. Amazon Redshift
Amazon Redshift

46. “By migrating to
Amazon Redshift,
we can run our queries
98% faster and 80% cheaper
than we could before.
— John O’ Donovan, CTO

47. Traditional Enterprise DW Companies with Big Data SaaS Companies

48. Leader
node
Compute nodes
Existing business
intelligence tools
PostgreSQL
JDBC/ODBC
Amazon S3
Amazon DynamoDB
AWS Data Pipeline
Amazon EMR

49. • With row storage you do
unnecessary I/O
• To get total amount, you have
to read everything
ID Age State Amount
123 20 CA 500
345 25 WA 250
678 40 FL 125
957 37 WA 375

50. • With column storage, you
only read the data you need
ID Age State Amount
123 20 CA 500
345 25 WA 250
678 40 FL 125
957 37 WA 375

51. analyze compression listing;
Table | Column | Encoding
---------+----------------+----------
listing | listid | delta
listing | sellerid | delta32k
listing | eventid | delta32k
listing | dateid | bytedict
listing | numtickets | bytedict
listing | priceperticket | delta32k
listing | totalprice | mostly32
listing | listtime | raw
• COPY compresses
automatically
• You can analyze and override
• More performance, less cost

52. • Column storage
• Data compression
• Zone maps
• Direct-attached storage
10 | 13 | 14 | 26 |…
… | 100 | 245 | 324
375 | 393 | 417…
… 512 | 549 | 623
637 | 712 | 809 …
… | 834 | 921 | 959
10
324
375
623
637
959
• Track the minimum and
maximum value for each block
• Skip over blocks that don’t
contain relevant data

53. • Column storage
• Data compression
• Zone maps
• Direct-attached storage
DW.HS1.8XL:
• > 2 GB/s scan rate
• Optimized for data processing
• High disk density
DW.HS1.XL:

54. Dense Storage Node (dw1.xlarge)
2 TB, 16 GB RAM, 2 cores
Dense Compute Node (dw2.large)
0.16 TB, 16 GB RAM, 2 cores
Single Node (2 TB)
Cluster 2-32 Nodes (up to 64 TB)
8XL Dense Storage Node (dw1.8xlarge)
16 TB, 128 GB RAM, 16 cores, 10 GigE
8XL Dense Compute Node (dw2.8xlarge)
2.56 TB, 128 GB RAM, 16 cores, 10 GigE
Cluster 2-100 Nodes (up to 1.6 PB)
Note: Nodes not to scale

55. How Amazon Redshift billing works
Monthly
bill = N ×
Further details at http://aws.amazon.com/rds/pricing/
= 4 nodes * 720 hrs * $0.25
= $720
dw2.large; Oregon;
On-Demand
2 vCPUs;
15 GiB RAM;
0.16 TB SSD

56. http://aws.amazon.com/redshift/free-trial
http://aws.amazon.com/redshift/partners/

58. Amazon
DynamoDB
Document
and key-
value store
Amazon
RDS
SQL
database
engines
Amazon
ElastiCache
In-memory
cache
Amazon
Redshift
Data
warehouse

59. Pay only for what you use
No up-front cost
Fully managed services
AWS handles installs,
patching, restarts
Easy to scale
Grow as you need
Designed for use with
other AWS services
Amazon
EC2
Amazon
S3
Amazon
CloudWatch
Amazon
SNS
Amazon
VPC
AWS
Data Pipeline

60. http://aws.amazon.com/marketplace

61. Service Free every month Term
Amazon
DynamoDB
25 GB of storage
25 units of write capacity
25 units of read capacity
Indefinite
Amazon
ElastiCache
750 Micro Cache Node
instance hours
First 12 months of
AWS account
Amazon RDS 750 Micro DB instance hours
20 GB of DB Storage
20 GB for Backups
10 million I/O operations
First 12 months of
AWS account

63. Please give us your feedback on this session.
Complete session evaluations and earn re:Invent swag.
http://bit.ly/awsevals