| xrandr --newmode "1920x1080_60.00" 173.00 1920 2048 2248 2576 1080 1083 1088 1120 -hsync +vsync | |
| xrandr --addmode VGA1 1920x1080_60.00 | |
| xrandr --output VGA1 --mode 1920x1080_60.00 |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta http-equiv="Content-Type" content="text/html;charset=utf-8"> | |
| <title>Node-Link Tree</title> | |
| <script type="text/javascript" src="http://mbostock.github.com/d3/d3.js?1.25.0"></script> | |
| <script type="text/javascript" src="http://mbostock.github.com/d3/d3.layout.js?1.25.0"></script> | |
| <style type="text/css"> | |
| circle.node { |
| { | |
| "directory": "app/components" | |
| } |
| #/bin/bash | |
| set -e | |
| echo "=== Activating Firewall (only SSH allowed) ===" | |
| ufw allow ssh | |
| ufw --force enable | |
| if [ ! -f /swapfile ]; then | |
| echo "=== Activating swap ===" | |
| fallocate -l 1G /swapfile |
| # Basic text search with relevancy for MongoDB. | |
| # See http://blog.tty.nl/2010/02/08/simple-ranked-text-search-for-mongodb/ | |
| # Copythingie 2010 - Ward Bekker - ward@tty.nl | |
| #create (or empty) a docs collection | |
| doc_col = MongoMapper.connection.db('example_db').collection('docs') | |
| doc_col.remove({}) | |
| #add some sample data | |
| doc_col.insert({ "txt" => "it is what it is"}) |
| /* Responsive Text Align */ | |
| /* Text Align Up */ | |
| @media (min-width: 34em) { | |
| .text-center-sm-up { | |
| text-align: center; | |
| } | |
| .text-right-sm-up { | |
| text-align: right; | |
| } |
| //-----------------------------------------------// | |
| // SPARK CORE Adafruit_WS2801 LIBRARY & EXAMPLE // | |
| //===============================================// | |
| // Copy this into a new application at: // | |
| // https://www.spark.io/build and go nuts! // | |
| // Read comments in APPLICATION.CPP section for // | |
| // Hookup details! // | |
| //-----------------------------------------------// | |
| // Technobly / BDub - Jan 9th, 2014 // | |
| //===============================================// |
We have been considering how to best handle internal monitoring (i.e. internal stats like disk space, CPU utilization). Here's our current set of solutions:
References:
Top picks:
| /* ============================================= | |
| Dependencies | |
| ------------------------------------------ */ | |
| const debug = require('debug') | |
| const chalk = require('chalk') | |
| const { Readable, Writable, Transform, pipeline } = require('stream') |
From Meteor's documentation:
In Meteor, your server code runs in a single thread per request, not in the asynchronous callback style typical of Node. We find the linear execution model a better fit for the typical server code in a Meteor application.
This guide serves as a mini-tour of tools, trix and patterns that can be used to run async code in Meteor.
Sometimes we need to run async code in Meteor.methods. For this we create a Future to block until the async code has finished. This pattern can be seen all over Meteor's own codebase:
