The document discusses scalable web architectures and common patterns for scaling different parts of a web application. It covers scaling app servers horizontally by using centralized or no sessions. It also discusses scaling databases through replication, caching, and data federation across multiple clusters. Serving static files can be scaled using a reverse proxy cache cluster. Storing static files involves using multiple storage volumes.

1. Scalable Web Architectures Common Patterns & Approaches Cal Henderson

10. Big Irons Sunfire E20k $450,000 - $2,500,000 36x 1.8GHz processors PowerEdge SC1425 2.8 GHz processor Under $1,500

11. Cost vs Cost

27. Trifle

28. Trifle Sponge / Database Jelly / Business Logic Custard / Page Logic Cream / Markup Fruit / Presentation

29. Trifle Sponge / Database Jelly / Business Logic Custard / Page Logic Cream / Markup Fruit / Presentation

30. App servers

31. App servers

32. App servers

36. Asynchronous systems

37. Asynchronous systems

38. Helps with peak periods

39. Asynchronous systems

40. Asynchronous systems

41. Asynchronous systems

45. Master-Slave Replication

46. Master-Slave Replication Reads and Writes Reads

47. Master-Slave Replication

48. Master-Slave Replication

49. Master-Slave Replication

50. Master-Slave Replication

51. Master-Slave Replication

52. Master-Slave Replication

53. Master-Slave Replication

54. Master-Slave Replication

57. Write-through cache

58. Write-back cache

59. Sideline cache

61. But what about HA?

62. But what about HA?

64. Master-Master

67. Rings

68. Rings

70. Dual trees

73. Data federation

80. Multiple Datacenters

82. Reverse proxy

89. Perlbal backhanding

92. Permission URLs

96. Multiple volumes

98. Multiple hosts

101. HA Storage

104. Flickr Architecture

105. LiveJournal Architecture

106. Buy my book!

107. The end!