MySQL HA Alternatives 2010

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The presentation I gave in the MySQL Devroom at Fosdem 2010 , summarizing the different alternatives for MySQL HA

MySQL HA An overview Kris Buytaert

Kris Buytaert ,[object Object]

„ Infrastructure Architect“

I don't remember when I started using MySQL :)

Specializing in Automated , Large Scale Deployments , Highly Available infrastructures, since 2008 also known as “the Cloud”

Surviving the 10 th floor test

DevOp

What is HA Clustering ? ,[object Object]

Not designed for high-performance

Not designed for high troughput (load balancing)

Does it Matter ? ,[object Object]

You mis out on $$$

Your boss complains

New users don't return

Lies, Damn Lies, and Statistics Counting nines (slide by Alan R)

The Rules of HA ,[object Object]

Keep it Simple

Prepare for Failure

Complexity is the enemy of reliability

You care about ? ,[object Object]

Realitime

Eventual Consistent ,[object Object],[object Object]

Most of the time

Eliminating the SPOF ,[object Object]

Fans

Power (Supplies) ,[object Object],[object Object]

Going Out Of Memory

Split Brain ,[object Object]

If those partitions each try and take control of the cluster, then it's called a split-brain condition

If this happens, then bad things will happen ,[object Object]

Historical MySQL HA ,[object Object]

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Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

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1. MySQL HA An overview Kris Buytaert

2.

3. „ Infrastructure Architect“

4. I don't remember when I started using MySQL :)

5. Specializing in Automated , Large Scale Deployments , Highly Available infrastructures, since 2008 also known as “the Cloud”

6. Surviving the 10 th floor test

8.

9. Not designed for high-performance

10. Not designed for high troughput (load balancing)

11.

12. You mis out on $$$

13. Your boss complains

14. New users don't return

15. Lies, Damn Lies, and Statistics Counting nines (slide by Alan R)

16.

17. Keep it Simple

18. Prepare for Failure

19. Complexity is the enemy of reliability

20.

22.

23. Most of the time

24.

26.

27. Going Out Of Memory

28.

29. If those partitions each try and take control of the cluster, then it's called a split-brain condition

30.

31.

32. Multiple read only nodes

33. Application needed to be modified

34.

36. MySQL Cluster NDBD

37. Multi Master Replication

38. MySQL Proxy

41.

42.

44. Heartbeat / Pacemaker

45.

46. Monitor MySQL node

48. $$$ 1+1 <> 2

49. Storage = SPOF

50. Split Brain :(

51.

52. In the Linux Kernel (as of very recent)

53.

54. Only 1 MySQL instance Active accessing data

55. Upon Failover MySQL needs to be started on other node

56.

57. Why did the crash happen ?

58. Is my data still correct ?

59.

60. Check your BinLog size

61.

62. Automatic partitioning

63. Synchronous replication

64. Fast automatic fail-over of data nodes

65. In-memory indexes

66. Not suitable for all query patterns (multi-table JOINs, range scans)

67.

68.

69.

70.

71. Does not fit for all apps

72.

73. Both nodes are slave

74. Write in 1 get updates on the other M|S M|S

75.

76.

77.

78. No Application change required

79. Sends specific queries to a specific node

80.

83. Availability

84.

85.

86.

87.

88.

89.

90.

92.

93. Advanced Routing

95. Or the upcoming slides

96.

97.

98. master-master MySQL Servers

99. Clients machines do not connect "directly" to either node instead,

100. One IP for read,

101. One IP for write.

102. Flipper allows you to move these IP addresses between the nodes in a safe and controlled manner.

103. http://provenscaling.com/software/flipper/

104.

105. Manages more than MySQL

106. ...v3 .. don't even think about the rest anymore

107. http://clusterlabs.org/

108.

109.

110. Think about your Data

111. Think about getting Queries to that Data

112. Complexity is the enemy of reliability

113. Keep it Simple

114. Monitor inside the DB

115. ` Kris Buytaert < [email_address] > Further Reading http://www.krisbuytaert.be/blog/ http://www.inuits.be/ http://www.virtualization.com/ http://www.oreillygmt.com/ ? !