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Graphite
Overview

• Architecture

• Strengths

• Weaknesses

• Example Usage
Graphite Architecture
Python based




 http://graphite.wikidot.com/
Web UI == Django
Run under Apache mod_python
Graphics library == Cairo
http://cairographics.org/
Processing backend (Carbon) == Twisted Python
Storage Engine (Whisper)
  • Fixed size
  • Can insert data out of order
Storage Engine (Whisper)
  • Flexible configuration of precision

/opt/graphite/conf/storage-schemas.conf

[default_1min_for_1day_5min_for_1_year_1hr_for_5years]
pattern = .*
retentions = 60s:1d, 5m:365d, 1h:5y
1.8 megabyte whisper file
/opt/graphite/storage/whisper/
Strengths
Flexible data storage
(configurable precision)
Easy to get data in

  • telnet to port 2003
  • enter three values
   metric.name value unixtime
• Explore data by combining, aggregating,
        or performing calculations
• Build dashboards by tweaking URLs
Weaknesses
• Not so nice out of the box
  (as Ganglia for example)
• Not packaged
Example usage
• Apache logs into Graphite
• Count 200s 300s 500s etc (RPMs)
• Calculate average response times
How to visualize data from 50 web servers?
Graphite
Graphite
Graphite
Graphite
Graphite
cron job runs every minute on the web servers

Tail the apache logs
Add up the requests for each range of
       return codes 1xx 2xx 3xx 4xx 5xx
Custom apache log format that records time to
       serve requests %D
Send results to Graphite
Logtail

Implemented in several languages
I used the perl one
Logster

From Etsy
https://github.com/etsy/logster

Plug in your own parser for any log file
Output to Graphite or Ganglia
Contact me

David Lutz
david.lutz@rea-group.com
Twitter @dlutzy

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