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