Hynek Schlawack - Beyond grep: Practical Logging and Metrics

Your Python server applications are running but you’re wondering what they are doing? Your only clue about their current state is the server load? Let’s have stroll through the landscape of logging and metrics so you’ll find the perfect fit for your use cases!

https://us.pycon.org/2015/schedule/presentation/353/

Transcript

1. Beyond grep Pragmatic Logging & Metrics https://ox.cx/b Hynek Schlawack
2. Hi! @hynek https://hynek.me https://github.com/hynek
3. Agenda
4. Agenda
5. Agenda
6. Agenda
7. Errors
8. Errors
9. Requirements
10. Requirements •fast
11. Requirements •fast •once
12. Requirements •fast •once
13. Requirements •fast •once •context
14. Requirements •fast •once •context
24. Raven-Python
25. Raven-Python Integrations:
26. Raven-Python Integrations: • logging
27. Raven-Python Integrations: • logging • Django
28. Raven-Python Integrations: • logging • Django • WSGI
29. Raven-Python Integrations: • logging • Django • WSGI • …9 others
30. Vanilla from raven import Client client = Client("https://yoursentry") try: 1 / 0 except ZeroDivisionError: client.captureException()
31. Vanilla from raven import Client client = Client("https://yoursentry") try: 1 / 0 except ZeroDivisionError: client.captureException()
32. Vanilla from raven import Client client = Client("https://yoursentry") try: 1 / 0 except ZeroDivisionError: client.captureException()
33. Django INSTALLED_APPS = ( … "raven.contrib.django.raven_compat", … )
34. Progress!
35. Progress! ✓
36. Metrics
37. Metrics?
38. Metrics? • numbers in a DB
39. Metrics? • numbers in a DB • guessing vs knowing
40. System Metrics vs App Metrics • load • network traffic • I/O • …
41. System Metrics vs App Metrics • load • network traffic • I/O • … • counters
42. System Metrics vs App Metrics • load • network traffic • I/O • … • counters • timers
43. System Metrics vs App Metrics • load • network traffic • I/O • … • counters • timers • gauges
44. System Metrics vs App Metrics • load • network traffic • I/O • … • counters • timers • gauges • …
45. Aggregation
46. Correlation
47. Math
48. Math • # reqs / s?
49. Math • # reqs / s? • worst 0.01% ⟨req time⟩?
50. Math • # reqs / s? • worst 0.01% ⟨req time⟩? • don’t try this alone!
51. Monitoring
52. Monitoring • latency
53. Monitoring • latency • error rates
54. Monitoring • latency • error rates • anomalies
55. Storage
56. Librato Metrics
57. Graphite 800 pound gorilla
58. Grafana
59. InfluxDB Graphite++ in Go
60. InfluxDB Graphite++ in Go
61. Collecting
62. Approaches
63. Approaches 1. external aggregation: StatsD, Riemann
64. Approaches 1. external aggregation: StatsD, Riemann + no state, simple
65. Approaches 1. external aggregation: StatsD, Riemann + no state, simple – no direct introspection
66. Approaches 1. external aggregation: StatsD, Riemann + no state, simple – no direct introspection 2. aggregate in-app, deliver to DB
67. Approaches 1. external aggregation: StatsD, Riemann + no state, simple – no direct introspection 2. aggregate in-app, deliver to DB + in-app dashboard, useful in dev
68. Approaches 1. external aggregation: StatsD, Riemann + no state, simple – no direct introspection 2. aggregate in-app, deliver to DB + in-app dashboard, useful in dev – state w/i app
70. (g|py)?statsd(py|-client)? import statsd c = statsd.StatsClient( "statsd.local", 8125 )
71. (g|py)?statsd(py|-client)?
72. (g|py)?statsd(py|-client)? c.incr("foo")
73. (g|py)?statsd(py|-client)? c.incr("foo") c.timing("stats.timed", 320)
74. Scales from greplin import scales from greplin.scales.meter import MeterStat STATS = scales.collection( "/Resource", MeterStat("reqs"), scales.PmfStat("request_time") )
75. Scales from greplin import scales from greplin.scales.meter import MeterStat STATS = scales.collection( "/Resource", MeterStat("reqs"), scales.PmfStat("request_time") )
76. Scales
77. Scales STATS.reqs.mark()
78. Scales STATS.reqs.mark() with STATS.request_time.time():
79. Scales STATS.reqs.mark() with STATS.request_time.time(): do_something_expensive()
80. Dashboard Scales
81. Dashboard Scales
82. Dashboard Scales … "request_time": { "count": 567315293, "99percentile": 0.10978688716888428, "75percentile": 0.013181567192077637, "min": 0.0002448558807373047, "max": 30.134822130203247, "98percentile": 0.08934824466705339, "95percentile": 0.027234303951263434, "median": 0.009176492691040039, "999percentile": 0.14235656142234793, "stddev": 0.01676855570363413, "mean": 0.013247184020535955 }, …
83. Progress! ✓
84. Progress! ✓ ✓
85. Logging
86. Splunk
87. Splunk
88. Papertrail
89. loggly
90. ELK Elasticsearch + Logstash + Kibana
91. Graylog
92. Graylog
93. Graylog
94. Graylog
96. Goal @400000005270e0d604afce64 { "event": "logged_in", "user": "guido", "ip": "8.8.8.8", "referrer": "http://google.com" }
97. Context & Format
98. structlog
99. BoundLogger structlog
100. Original Logger BoundLogger structlog e.g. logging.Logger
101. Original Logger BoundLogger bind values log.bind(key=value) Context structlog
102. Original Logger BoundLogger bind values log.bind(key=value) Context log events log.info(event, another_key=another_value) + structlog
103. Original Logger BoundLogger Processor 1 Processor n Return Value Return Value bind values log.bind(key=value) Context log events log.info(event, another_key=another_value) + structlog
104. Original Logger BoundLogger Processor 1 Processor n Return Value Return Value bind values log.bind(key=value) Context log events log.info(event, another_key=another_value) + structlog
105. import logging, sys logger = logging.getLogger() logger.addHandler( logging.StreamHandler( sys.stdout ) )
106. import logging, sys logger = logging.getLogger() logger.addHandler( logging.StreamHandler( sys.stdout ) )
107. Capture
108. Capture • into files
109. Capture • into files • to syslog / a queue
110. Capture • into files • to syslog / a queue • pipe into a logging agent
111. log = log.bind(user="guido") log.info("user.login")
112. {"event": "user.login", "user": "guido"} log = log.bind(user="guido") log.info("user.login") structlog
113. {"event": "user.login", "user": "guido"} log = log.bind(user="guido") log.info("user.login") structlog stdout logging
114. {"event": "user.login", "user": "guido"} log = log.bind(user="guido") log.info("user.login") structlog stdout logging /var/log/app/current runit’s svlogd (adds TAI64 timestamp)
115. {"event": "user.login", "user": "guido"} log = log.bind(user="guido") log.info("user.login") structlog logstash-forwarder logstash stdout logging /var/log/app/current runit’s svlogd (adds TAI64 timestamp)
116. {"event": "user.login", "user": "guido"} log = log.bind(user="guido") log.info("user.login") structlog logstash-forwarder logstash 1010001101 Elasticsearch stdout logging /var/log/app/current runit’s svlogd (adds TAI64 timestamp)
117. Progress! ✓ ✓
118. Progress! ✓ ✓ ✓
119. Wait a Minute…
120. Ugh try: STATS.time.timing(): something() except Exception as e: log.error("omg", exc_info=e) raven_client.captureError() STATS.errors.mark()
121. Ugh try: STATS.time.timing(): something() except Exception as e: log.error("omg", exc_info=e) raven_client.captureError() STATS.errors.mark()
122. Awww try: something() except Exception as e: log.error("omg", exc_info=e)
123. Errors
124. Errors • logging integration
125. Errors • logging • structlog
126. Errors • logging • structlog • web apps: error views
127. Error View @view_config(context=Exception) def err(exc, request): return Response( "oops: " + raven_client.captureException() )
128. Metrics measure from outside
129. WSGI Servers
130. WSGI Servers • gunicorn: --statsd-host <host>
131. WSGI Servers • gunicorn: --statsd-host <host> • uWSGI:
132. WSGI Servers • gunicorn: --statsd-host <host> • uWSGI: • --stats-push statsd:<host>
133. WSGI Servers • gunicorn: --statsd-host <host> • uWSGI: • --stats-push statsd:<host> • --carbon <host>
134. Middleware def timing_tween_factory(handler, registry): def timing_tween(request): with STATS.request_time.time(): return handler(request) return timing_tween
135. Middleware def timing_tween_factory(handler, registry): def timing_tween(request): with STATS.request_time.time(): return handler(request) return timing_tween
136. Extract from Logs
137. Leverage Monitoring
138. Remaining
139. Remaining 1. measure code paths
140. Remaining 1. measure code paths 2. expose gauges
141. Summary
142. Summary
143. Summary
144. Summary
145. Summary
146. ox.cx/b @hynek vrmd.de