highgroove / scout-plugins

Plugins for the Scout Server Monitoring and Reporting Tool

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apache analyzer, initial checkin
Andre Lewis (author)
Wed Oct 14 12:18:28 -0700 2009
commit  bcd9c154b5d9750fde1370975eca06c0a568ae9d
tree    9ff444f551a3986fefa9a7d8388de05df047f66a
parent  d22a8e574510140f688bc1e343ff918085e5a06c
scout-plugins / rails_instrumentation / rails_instrumentation.yml
100644 98 lines (93 sloc) 2.607 kb
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schema:
  # - throughput
  - avg_request_time
  - actions.num_requests
  - actions.runtime_avg
  - actions.runtime_max
  - actions.render_runtime_avg
  - actions.render_runtime_max
  - actions.db_runtime_avg
  - actions.db_runtime_max
  - actions.other_runtime_avg
  - actions.other_runtime_max
 
# Valid keys in metadata
# label -- defaults to a humanized version of key
# units -- defaults to blank
# precision -- defaults to 0
# delimiter -- defaults to nothing as in 4096
# larger_is_better -- you can set this true, otherwise smaller numbers are regarded as being better
 
metadata:
  # add back once rate_of_change type available
  # throughput:
  #   label: Throughput
  #   units: req/sec
  #   precision: 0
  #   larger_is_better: true
  avg_request_time:
    label: Average Request Time
    units: ms
    precision: 0
  actions.num_requests:
    label: Max runtime
    units: ms
    precision: 0
  actions.runtime_avg: 
    label: Average Runtime
    units: ms
    precision: 0
  actions.runtime_max: 
    label: Max runtime
    units: ms
    precision: 0
  actions.render_runtime_avg: 
    label: Average render time
    units: ms
    precision: 0                                     
  actions.render_runtime_max: 
    label: Max render time
    units: ms
    precision: 0
  actions.db_runtime_avg: 
    label: Average database time
    units: ms
    precision: 0
  actions.db_runtime_max: 
    label: Max database time
    units: ms
    precision: 0
  actions.other_runtime_avg: 
    label: Average other time
    units: ms
    precision: 0
  actions.other_runtime_max: 
    label: Max other time
    units: ms
    precision: 0    
    
# Define your triggers here as an array of hashes. This example 
# defines three triggers, one of each type:
#
#triggers:
#  - type: peak
#    dname: throughput             # a shallow data series
#    max_value: 200
#  - type: plateau
#    dname: actions.runtime_max    # a deep data series
#    max_value: 1000
#    duration: 10                             # in minutes
#  - type: trend
#    dname: actions.runtime_avg
#    direction: UP                            # UP, DOWN, EITHER
#    percentage_change: 10                    # greater than 0
#    duration: 120                            # a number (in minutes) or: DAY_SO_FAR
#    window_reference: PRECEDING_WINDOW       # PRECEEDING_WINDOW, YESTERDAY, LAST_WEEK
 
triggers:
  - type: peak
    dname: actions.runtime_max
    max_value: 4000
  - type: trend
    dname: actions.runtime_avg
    direction: UP
    percentage_change: 30
    duration: 120
    window_reference: LAST_WEEK
    min_value: 100