Graphite consists of two major components:
- the frontend Django webapp that runs under mod_python Apache
- the backend carbon-cache.py daemon
Client applications connect to the running carbon-cache.py daemon on port 2003 and send it lines of text of the following format:
my.metric.name value unix_timestamp
performance.servers.www01.cpuUsage 42.5 1208815315
The metric name is like a filesystem path that uses
. as a separator instead of
The value is some scalar integer or floating point value.
The unix_timestamp is unix epoch time, as an integer.
Each line like this corresponds to one data point for one metric.
Once you’ve got some clients sending data to carbon-cache, you can view graphs of that data in the frontend webapp.
Use the instructions in the INSTALL file.
First you must tell carbon-cache what user it should run as.
This must be a user with write privileges to
Specify the user account in
This user must also have write privileges to
Writing a client
First you obviously need to decide what data it is you want to graph with
graphite. The script
examples/example-client.py demonstrates a simple client
that sends loadavg data for your local machine to carbon on a minutely basis.
The default storage schema stores data in one-minute intervals for 2 hours. This is probably not what you want so you should create a custom storage schema according to the docs on the graphite wiki (http://graphite.wikidot.com).