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Trending with Purpose
- 1. Trending with Purpose Jason Dixon
- 2.
- 3. A general directionin which something is developing or changing.
- 5. Why do wetrend?
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- 8. ... instead offinding out from your customer.
- 9.
- 10. Just because ahost or service reponds, how do you know it’s working?
- 11. If you haven’tmeasured good, how will you recognize bad?
- 12. You don’t knowwhat might break, so collect everything now.
- 13. "Those who cannotremember the past are condemned to repeat it" George Santayana
- 14. "I don't careif my servers are on fire as long as they're making me money" Business Owner
- 15. How can weadd Business Value?
- 16.
- 17. Dance with theone who brought you.
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- 21. Nagios • Fault Detection •Notifications
- 22. Nagios • Fault Detection •Notifications • Escalations
- 23. Nagios • Fault Detection •Notifications • Escalations • Acknowledgements/Downtime
- 24. Nagios • Fault Detection •Notifications • Escalations • Acknowledgements/Downtime • http://www.nagios.org/
- 25.
- 26. Nagios • What itdoes well:
- 27. Nagios • What itdoes well: • Free
- 28. Nagios • What itdoes well: • Free • Extensible
- 29. Nagios • What itdoes well: • Free • Extensible • Plugins
- 30. Nagios • What itdoes well: • Free • Extensible • Plugins • Configuration templates
- 31. Nagios • What itdoes well: • Free • Extensible • Plugins • Configuration templates • Popular (lesser of all free evils)
- 32. Nagios • What itdoes well: • Free • Extensible • Plugins • Configuration templates • Popular (lesser of all free evils) • Log metrics (“performance data”)
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- 34. Nagios • Where itsucks:
- 35. Nagios • Where itsucks: • Interface
- 36. Nagios • Where itsucks: • Interface • (Lack of) Scalability
- 37. Nagios • Where itsucks: • Interface • (Lack of) Scalability • Promotes bad habits
- 38. Nagios • Where itsucks: • Interface • (Lack of) Scalability • Promotes bad habits • Acknowledgements never expire
- 39. Nagios • Where itsucks: • Interface • (Lack of) Scalability • Promotes bad habits • Acknowledgements never expire • Configuration (over-)flexibility
- 40. Nagios • Where itsucks: • Interface • (Lack of) Scalability • Promotes bad habits • Acknowledgements never expire • Configuration (over-)flexibility • Flapping
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- 43. PNP4Nagios • Basic graphing& dashboard capabilities
- 44. PNP4Nagios • Basic graphing& dashboard capabilities • Retrieves Nagios performance data
- 45. PNP4Nagios • Basic graphing& dashboard capabilities • Retrieves Nagios performance data • Creates graphs with RRD
- 46. PNP4Nagios • Basic graphing& dashboard capabilities • Retrieves Nagios performance data • Creates graphs with RRD • Limited introspection/correlation
- 47. PNP4Nagios • Basic graphing& dashboard capabilities • Retrieves Nagios performance data • Creates graphs with RRD • Limited introspection/correlation • http://www.pnp4nagios.org/
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- 51. Graphite • Metric storage •Complex graph creation
- 52. Graphite • Metric storage •Complex graph creation • Web and “CLI” interfaces
- 53. Graphite • Metric storage •Complex graph creation • Web and “CLI” interfaces • Created and released by Orbitz.com
- 54. Graphite • Metric storage •Complex graph creation • Web and “CLI” interfaces • Created and released by Orbitz.com • http://graphite.wikidot.com/
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- 57. Graphite • The goodstuff:
- 58. Graphite • The goodstuff: • Horizontally scalable
- 59. Graphite • The goodstuff: • Horizontally scalable • Rapid graph prototyping (CLI)
- 60. Graphite • The goodstuff: • Horizontally scalable • Rapid graph prototyping (CLI) • Graph disparate data points
- 61. Graphite • The goodstuff: • Horizontally scalable • Rapid graph prototyping (CLI) • Graph disparate data points • Numerous formulas available
- 62. Graphite • The goodstuff: • Horizontally scalable • Rapid graph prototyping (CLI) • Graph disparate data points • Numerous formulas available • derive, transform, average, sum, etc...
- 63. Graphite • The goodstuff: • Horizontally scalable • Rapid graph prototyping (CLI) • Graph disparate data points • Numerous formulas available • derive, transform, average, sum, etc... • Share graphs with other users
- 64. Graphite • The goodstuff: • Horizontally scalable • Rapid graph prototyping (CLI) • Graph disparate data points • Numerous formulas available • derive, transform, average, sum, etc... • Share graphs with other users • Supports existing RRD databases
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- 67. Graphite • The not-so-goodstuff: • Not a dashboard (well, sorta)
- 68. Graphite • The not-so-goodstuff: • Not a dashboard (well, sorta) • No hover details
- 69. Graphite • The not-so-goodstuff: • Not a dashboard (well, sorta) • No hover details • Single y-axis
- 70. Graphite Web Carbon Metrics Whisper
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- 72. Carbon • agent -starts other daemons, receives metrics and pipelines them to cache
- 73. Carbon • agent -starts other daemons, receives metrics and pipelines them to cache • aggregator - aggregate and transform your data before storage
- 74. Carbon • agent -starts other daemons, receives metrics and pipelines them to cache • aggregator - aggregate and transform your data before storage • cache - caches metrics for real-time graphing, pipelines them to persister
- 75. Carbon • agent -starts other daemons, receives metrics and pipelines them to cache • aggregator - aggregate and transform your data before storage • cache - caches metrics for real-time graphing, pipelines them to persister • persister - writes persistent data to disk
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- 78. Whisper • Metrics databaseformat • Supplanted RRDtool
- 79. Whisper • Metrics databaseformat • Supplanted RRDtool • Accepts out-of-order data
- 80. Whisper • Metrics databaseformat • Supplanted RRDtool • Accepts out-of-order data • Supports pipelining of data in a single operation (multiplexing)
- 81. Coming Soon -Ceres
- 82. Coming Soon -Ceres • Smaller files - doesn’t pad missing datapoints
- 83. Coming Soon -Ceres • Smaller files - doesn’t pad missing datapoints • Doesn’t store timestamps, calculates them
- 84. Coming Soon -Ceres • Smaller files - doesn’t pad missing datapoints • Doesn’t store timestamps, calculates them • Federates individual datapoints
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- 86. Graphite Web • Traditionalweb interface
- 87. Graphite Web • Traditionalweb interface • Javascript CLI
- 88. Graphite Web • Traditionalweb interface • Javascript CLI • Rudimentary dashboard
- 89. Graphite Web • Traditionalweb interface • Javascript CLI • Rudimentary dashboard • Django application
- 90. Sending metrics toGraphite
- 91. Sending metrics toGraphite • Connect to Carbon socket (tcp/2003)
- 92. Sending metrics toGraphite • Connect to Carbon socket (tcp/2003) • Send your data
- 93. Sending metrics toGraphite • Connect to Carbon socket (tcp/2003) • Send your data my $sock = IO::Socket::INET->new(‘127.0.0.1:2003’); $sock->send(“endpoint.app.metric $value $epochn");
- 94. Sending metrics toGraphite • Connect to Carbon socket (tcp/2003) • Send your data my $sock = IO::Socket::INET->new(‘127.0.0.1:2003’); $sock->send(“endpoint.app.metric $value $epochn"); • ???
- 95. Sending metrics toGraphite • Connect to Carbon socket (tcp/2003) • Send your data my $sock = IO::Socket::INET->new(‘127.0.0.1:2003’); $sock->send(“endpoint.app.metric $value $epochn"); • ??? • Profit!
- 96. What should wecollect?
- 97.
- 98. App/DB Profiling • Howfast is our:
- 99. App/DB Profiling • Howfast is our: • function foo() for each iteration
- 100. App/DB Profiling • Howfast is our: • function foo() for each iteration • SQL query
- 101. App/DB Profiling • Howfast is our: • function foo() for each iteration • SQL query • 3rd party API service (e.g. payment gateway, social media)
- 102.
- 103. App/DB Profiling • How many times do we:
- 104. App/DB Profiling • How many times do we: • call function foo()
- 105. App/DB Profiling • How many times do we: • call function foo() • register a new user
- 106. App/DB Profiling • How many times do we: • call function foo() • register a new user • chargeback a sale
- 107. IT exists tosupport Business.
- 108. Not the otherway around.
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- 110. Business Profiling • Howmany sales did we generate this hour:
- 111. Business Profiling • Howmany sales did we generate this hour: • per sku
- 112. Business Profiling • Howmany sales did we generate this hour: • per sku • from the recent ad campaign
- 113. Business Profiling • Howmany sales did we generate this hour: • per sku • from the recent ad campaign • from users in West Bumble, Arkansas
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- 117.
- 118. More Data >Less Data
- 119. You probably won’tknow what metrics you might need until it’s too late.
- 120. Don’t be thatguy.
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- 122. Data Sources • Nagios • SQL • Munin • Logs • SNMP • sar • Ganglia • /proc • collectd • REST APIs
- 123. You can’t beserious!
- 124. You can’t beserious! • You’re thinking to yourself...
- 125. You can’t beserious! • You’re thinking to yourself... • This sounds like a lot of work.
- 126. You can’t beserious! • You’re thinking to yourself... • This sounds like a lot of work. • Our developers will never buy in.
- 127. You can’t beserious! • You’re thinking to yourself... • This sounds like a lot of work. • Our developers will never buy in. • Is there an easier way?
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- 130.
- 131. StatsD • Created andreleased by Etsy
- 132. StatsD • Created andreleased by Etsy • "Measure Anything, Measure Everything"
- 133. StatsD • Created andreleased by Etsy • "Measure Anything, Measure Everything" • Aggregate counters and timers
- 134. StatsD • Created andreleased by Etsy • "Measure Anything, Measure Everything" • Aggregate counters and timers • Pipeline to Graphite
- 135. StatsD • Created andreleased by Etsy • "Measure Anything, Measure Everything" • Aggregate counters and timers • Pipeline to Graphite • Fire-and-forget (UDP)
- 136. StatsD • Created andreleased by Etsy • "Measure Anything, Measure Everything" • Aggregate counters and timers • Pipeline to Graphite • Fire-and-forget (UDP) • Perl, PHP, Python and Java clients
- 137. StatsD • Created andreleased by Etsy • "Measure Anything, Measure Everything" • Aggregate counters and timers • Pipeline to Graphite • Fire-and-forget (UDP) • Perl, PHP, Python and Java clients • https://github.com/etsy/statsd
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- 140. StatsD • https://github.com/sivy/statsd-client use Net::StatsD::Client; my $c = Net::StatsD::Client->new(); $c->increment('endpoint.customer.app.metric'); $c->timing('endpoint.customer.app.foo', 200);
- 141. StatsD • https://github.com/sivy/statsd-client use Net::StatsD::Client; my $c = Net::StatsD::Client->new(); $c->increment('endpoint.customer.app.metric'); $c->timing('endpoint.customer.app.foo', 200); • Too much activity? Sample it!
- 142. StatsD • https://github.com/sivy/statsd-client use Net::StatsD::Client; my $c = Net::StatsD::Client->new(); $c->increment('endpoint.customer.app.metric'); $c->timing('endpoint.customer.app.foo', 200); • Too much activity? Sample it! # sample 10%, StatsD will multiply it up $c->increment('endpoint.customer.app.metric', 0.1)
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- 146.
- 147. Logster • Yet AnotherEtsy Project (YAEP)
- 148. Logster • Yet AnotherEtsy Project (YAEP) • Rips metrics from log files
- 149. Logster • Yet AnotherEtsy Project (YAEP) • Rips metrics from log files • https://github.com/etsy/logster
- 150. Logster • Yet AnotherEtsy Project (YAEP) • Rips metrics from log files • https://github.com/etsy/logster # /usr/sbin/logster --dry-run --output=graphite --graphite-host=graphite.example.com:2003 SampleLogster /var/log/httpd/access_log
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