manigandham

Strictly Frameworks

• Mobiledoc - github.com/bustle/mobiledoc-kit - framework to build editors with a standardized JSON structure
• ShareDB - github.com/share/sharedb - framework to sync any JSON document using operational transforms, add real-time collaborative editing to anything else
• Bangle.dev - github.com/bangle-io/bangle.dev - toolkit built for building editors, based on prosemirror

Abstracted Editors

These use separate document structures instead of HTML, some are more modular libraries than full editors

pmeenan

// Support routines for automatically reporting user timing for common analytics platforms
// Currently supports Google Analytics, Boomerang and SOASTA mPulse
// In the case of boomerang, you will need to map the event names you want reported
// to timer names (for mPulse these need to be custom0, custom1, etc) using a global variable:
// rumMapping = {'aft': 'custom0'};
(function() {
var wtt = function(n, t, b) {
  t = Math.round(t);
  if (t >= 0 && t < 3600000) {
    // Google Analytics

banaslee

eXtreme Go Horse (XGH) Process

Quelle: http://gohorseprocess.wordpress.com

Übersetzung ursprünglich von https://gist.github.com/Neffez/f8d907ba8289f14e23f3855011fa4e2f

1. Ich denke, also ist es nicht XGH.
In XGH wird nicht gedacht, es wird das erste gemacht, was in den Sinn kommt. Es gibt auch keine zweite Option, die erste ist schneller.

2. Es gibt 3 Wege ein Problem zu lösen: den richtigen Weg, den falschen Weg und den XGH Weg, welcher exakt wie der falsche ist, aber schneller.

jordansissel

logstash queries graphed with graphite.

Operation: Decouple whisper from graphite.

Method: Create a graphite function that does a date histogram facet query against elasticsearch for a given query string for the time period viewed in the current graph.

Reason: graphite has some awesome math functions. Wouldn't it be cool if we could use those on logstash results?

The screenshot below is using logstash to watch the twitter stream of keywords "iphone" "apple" and "samsung" - then I graph them each, so we get an idea of popularity. As a bonus, I also do a movingAverage() on the iphone curve to show you why this is awesome.