Graphite does two things:
- Store numeric time-series data
- Render graphs of this data on demand
What Graphite does not do is collect data for you, however there are some tools out there that know
<div>Execution ${execution.id} was <b>${execution.status}</b></div> | |
<ul> | |
<li><a href="${execution.href}">Execution result</a></li> | |
<li><a href="${job.href}">Job</a></li> | |
<li><a href="${execution.projectHref}">Project: ${execution.project}</a></li> | |
<li><a href="${rundeck.href}">Rundeck</a></li> | |
</ul> | |
<p> | |
</p> |
function prompt_func() { | |
previous_return_value=$?; | |
prompt="\h:\W \u" | |
if test $previous_return_value -eq 0 | |
then | |
PS1="${prompt}🍺 " | |
else | |
PS1="${prompt}💩 " | |
fi | |
} |
{ | |
"description": "MyGroup allowed access to MyProject only", | |
"context": { | |
"application": "rundeck" | |
}, | |
"for": { | |
"project": [ | |
{ | |
"match": { | |
"name": "MyProject" |
""" | |
http://datatables.net/forums/discussion/13679/working-code-for-server-side-paging-filtering-sorting-for-python-flask-mongodb | |
I wrote a python script for implementing server-side DataTables using python, flask, and mongodb. It works very well for me, so I thought I'd share the code for anyone that needs it. Below is the script generalized as a template for you guys. | |
by luv_tables | |
January 2013 | |
""" | |
from collections import namedtuple | |
from pymongo import MongoClient |
#!/usr/bin/env python | |
# Parse disk:* from lshw -xml | |
""" | |
Sample Output: | |
ATA Disk Hitachi HDS72105 /dev/sda | |
Disk Space: 500107862016 | |
Sector size: 512 |
Graphite does two things:
What Graphite does not do is collect data for you, however there are some tools out there that know