Databases in the Cloud

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The document discusses databases in the cloud and their advantages. It describes various data store options including relational databases like SQL Server and MySQL, NoSQL databases like Cassandra and MongoDB, and managed services like Amazon RDS and SimpleDB. It explains how these database solutions provide flexibility, scalability, fault tolerance, and are available on demand in the cloud.

Technology

Lots of data,
lots of uses,
lots of users

Lots of data,
lots of uses,
lots of users,
lots of locations

Lots of data,
lots of uses,
lots of users,
lots of locations,
lots of devices

Relational SQL Server

databases
PostgreSQL
Data stores
Oracle
MySQL DB2

SimpleDB NoSQL
Deployment

Relational SQL Server

databases

ick
PostgreSQL
Data stores
A qu
MySQL uct
Oracle

i ntr od DB2

i on
SimpleDB NoSQL
Deployment

Highly available

Durable

S3
Redundant

Web service access

Network attached

Lower latency

EBS
Persistent

Snapshot + backup to S3

Local, fast access

Instance storage
Does not persist!

Not backed up automatically

m1.large

Persistent
100Gb Scalable
Elastic block store Snapshot

Templat
e
m1.large
AMI AMI

SNAPSHOT
100Gb SNAPSHOT

Templat
e
m1.large
AMI AMI

SNAPSHOT
100Gb SNAPSHOT

Private,
stored
securely

m1.large
AMI AMI

SNAPSHOT
100Gb SNAPSHOT

m1.large
AMI m1.large

SNAPSHOT
100Gb 100Gb

m1.large m1.large m1.large m1.large

100Gb 100Gb 100Gb 100Gb

m1.large m1.large m1.large m1.large

100Gb 100Gb 100Gb 100Gb

DATABASES IN THE CLOUD

Relational
databases

Voldemort HBase

Riak MongoDB
CouchDB
Tokyo Cabinet

Cassandra
Redis

select * from MyStore where Category = 'Clothes'

Web servers

Application servers

Data store

Parameters
Usernames, passwords and other settings

Q U E S T I O N S + C O M M E N T S

matthew@amazon.com
@mza
O N T W I T T E R

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Databases in the Cloud

1. Databases in the Cloud Matt Wood T E C H N O L O G Y E VA N G E L I S T

2. Hello.

6. Data

8. Lots of data

9. Lots of data, lots of uses

10. Lots of data, lots of uses, lots of users

11. Lots of data, lots of uses, lots of users, lots of locations

12. Lots of data, lots of uses, lots of users, lots of locations, lots of devices

13. Lots of everything!

14. Cost

15. Available

16. Fault tolerant

17. Scalable

18. AWS

19. Scalable

20. Fault tolerant

21. Flexible

22. Lots of options

23. Tour of the landscape

24. Relational SQL Server databases PostgreSQL Data stores Oracle MySQL DB2 SimpleDB NoSQL Deployment

25. Relational SQL Server databases ick PostgreSQL Data stores A qu MySQL uct Oracle i ntr od DB2 i on SimpleDB NoSQL Deployment

26. S3

27. Highly available Durable S3 Redundant Web service access

28. EBS

29. Network attached Lower latency EBS Persistent Snapshot + backup to S3

30. Local, fast access Instance storage Does not persist! Not backed up automatically

31. DATABASES IN THE CLOUD Data stores

32. Storage architecture

33. Root m1.large

34. m1.large 100Gb

35. m1.large Persistent 100Gb Scalable Elastic block store Snapshot

36. m1.large AMI SNAPSHOT 100Gb

37. m1.large AMI 100Gb SNAPSHOT

38. Templat e m1.large AMI AMI SNAPSHOT 100Gb SNAPSHOT

39. Templat e m1.large AMI AMI SNAPSHOT 100Gb SNAPSHOT Private, stored securely

40. m1.large AMI AMI SNAPSHOT 100Gb SNAPSHOT

41. m1.large AMI m1.large SNAPSHOT 100Gb 100Gb

42. m1.large m1.large m1.large m1.large 100Gb 100Gb 100Gb 100Gb m1.large m1.large m1.large m1.large 100Gb 100Gb 100Gb 100Gb

43. DATABASES IN THE CLOUD Relational databases

44. Flexibility

45. AMI SNAPSHOT Packaged + ready to roll

46. Oracle 11g 32 and 64 bit

47. IBM DB2 32 and 64 bit

48. SQL Server 32 and 64 bit

49. PostgreSQL and EnterpriseDB

50. Let’s take a look!

51. console.aws.amazon.com

52.

53. oracle-corporation

54.

55.

56.

57. running

58. Conﬁgure, optimise

59. Snapshots + backup

60. DATABASES IN THE CLOUD MySQL

61. Popular, open source

62. Conﬁgure, optimise

63. Snapshots + backup

64. Heavy lifting

65. RDS Relational Database Service

66. Managed

67. Rapid

68. Scalable storage

69. Scalable instance

70. Snapshot

71. Maintenance window

72. Let’s take a look!

73. MySQL

74. MySQL

75. MySQL

76. MySQL

77. MySQL

78. MySQL

79. MySQL

80. Remove the “muck”

81. Multi-AZ fail over

82.

83.

84. Synchronous writes

85.

86.

87. Read replicas

88. Higher performance reads

89. Replication lag metric

90. Perfect for reporting

91. MySQL

92. MySQL

93. DATABASES IN THE CLOUD NoSQL

94. No relational schema

95. Eventual consistency

96. Designed for availability

97. Designed for scale

98. Key/value stores

99. Document stores

100. Good for unstructured data

101. Very agile

102. Lots of choices

103. Voldemort HBase Riak MongoDB CouchDB Tokyo Cabinet Cassandra Redis

104. Deploy to EC2

105. Conﬁgure + optimise

106. Management overhead

107. DATABASES IN THE CLOUD SimpleDB

108. Highly available

109. Scalable

110. Fast

111. Attribute/value

112. Scratch pad

113. Let’s take a look

114. MySQL

115. MySQL

116. MySQL

117. select * from MyStore where Category = 'Clothes'

118. MySQL

119. Low touch

120. Perfect for high scale web apps

121. Netﬂix

122. DATABASES IN THE CLOUD Deployment

123. Part of a stack

124. Web servers Application servers Data store

125. Automated deployment

126. CloudFormation Launched this morning!

127. Template

128. Parameters Usernames, passwords and other settings

129. One API call

130. A few clicks

131. Atomic deployment

132. Let’s take a look!

133. MySQL

134. MySQL

135. MySQL

136. MySQL

137. Relational SQL Server databases PostgreSQL Data stores Oracle MySQL DB2 SimpleDB NoSQL Deployment

138. MySQL On the roadmap...

139. Oracle 11g on RDS

140. Thank you!

141. aws.amazon.com

142. Thank you!

143. Q U E S T I O N S + C O M M E N T S matthew@amazon.com @mza O N T W I T T E R

Editor's Notes

Good morning, my name is X, I'm Y for Amazon Web Services, based in Singapore.\nToday we will talk about Cloud Computing, and explain to you why it's important to know about it.\n
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Databases in the Cloud

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Editor's Notes