Talk: https://youtu.be/P1149dWnl3k Presentation of μ/log and the motivation behind the need of yet, another logging system. We will cover the main features of the library and what's coming next.

1. Observability

2. Observability

3. Observability

8. Fundamental metrics
• Request rate
• Error rate
• Latency distribution
• Saturation
for software systems

9. Request & error rate

10. Error rate

11. ?
Error rate

12. Error rate

13. Anomaly?
?

14. Latency distribution

15. Latency distribution

16. Latency distribution
X

17. Latency distribution

18. ?
Latency distribution

19. Latency distribution

20. and the next 100 logging systems

21. Observability at large

22. Observability at large

23. Observability at large

24. Observability at large

25. What is μ/log?
μ/log is a data-capture
facility.

26. Pyramid of value

27. Pyramid of value
Apps

28. Pyramid of value
Apps
Monitoring

29. Pyramid of value
Apps
AlertingMonitoring

30. Pyramid of value
Apps
AlertingMonitoringAPM

31. Pyramid of value
Apps
AlertingMonitoringAPM Security

32. Pyramid of value
Apps
AlertingMonitoringAPM SecurityAuditing

33. Pyramid of value
Apps
AlertingMonitoring ML InsightsAPM SecurityAuditing

34. Pyramid of value
Apps
AlertingMonitoring ML InsightsAPM SecurityAuditing

35. Pyramid of value
Apps
AlertingMonitoring ML InsightsAPM SecurityAuditing

36. Pyramid of value
Apps
AlertingMonitoring ML InsightsAPM SecurityAuditing

37. What’s a typical setup

38. What’s a typical setup

39. What’s a typical setup

40. What’s my setup

41. What’s my setup

42. What’s my setup

43. What’s my setup

44. What’s my setup

45. What’s my setup

46. What’s my setup
AWS Athena
QuickSight

47. What’s my setup
AWS Athena
QuickSight

48. What’s my setup
AWS Athena
QuickSight

49. What’s my setup
AWS Athena
QuickSight

50. How does a μ/log event
look like?

51. μ/log event sample

52. μ/log event sample

53. μ/log event sample

54. μ/log event sample

55. μ/log event sample

56. μ/trace event sample

57. μ/trace event sample

58. μ/trace event sample

59. μ/trace event sample

60. μ/trace event sample

61. μ/trace event sample

62. How to use μ/log

63. App idea

64. App idea

65. How to use μ/log

66. How to use μ/log

67. How to use μ/log

68. How to use μ/log

69. How to use μ/log

70. How to use μ/log

71. How to use μ/log

72. How to use μ/log

73. How to use μ/log

74. How to use μ/log

75. How to use μ/trace

76. How to use μ/trace

77. How to use μ/trace

78. How to use μ/trace

79. How to use μ/trace

80. How to use μ/trace

81. How to use μ/trace

82. How to use μ/trace

83. How to use transforms

84. How to use transforms

85. How to use transforms

86. How to use transforms

87. (μ/log ::hello :to "World!")
console-publisher
elasticsearch-publisher
custom-publisher
publish
post
send
1
2
2
3
4
println
publish
publish
4
4
μ/log internals

88. Can I use it with my old logs?
https://gitlab.com/nonseldiha/slf4j-mulog
by Peter N. (@xificurC)

89. What’s coming next?

90. Multivariate testing
v0
sampled latency distribution

91. Multivariate testing
Did the new version
improve the performance?
v0
v1
sampled latency distribution

92. Multivariate testing
Did the new version
improve the performance?
v0
v1
sampled latency distribution

93. Multivariate testing
Did the new version
improve the performance?
v0
v1
sampled latency distribution

94. Multivariate testing
Did the new version
improve the performance?
v0
v1
sampled latency distribution

95. Anomaly detection
?

96. Comparative analysis

97. BrunoBonacci/mulog