zziuni

# source : http://code.google.com/p/natvpn/source/browse/trunk/stun_server_list
# A list of available STUN server.

stun.l.google.com:19302
stun1.l.google.com:19302
stun2.l.google.com:19302
stun3.l.google.com:19302
stun4.l.google.com:19302
stun01.sipphone.com
stun.ekiga.net

sayan801

 private boolean cloneMediaUsingMuxer(String srcMedia, String dstMediaPath,
                                      int expectedTrackCount, int degrees) throws IOException {
        // Set up MediaExtractor to read from the source.
        //AssetFileDescriptor srcFd = mResources.openRawResourceFd(srcMedia);
        MediaExtractor extractor = new MediaExtractor();
        extractor.setDataSource(srcMedia);
        int trackCount = extractor.getTrackCount();
        //assertEquals("wrong number of tracks", expectedTrackCount, trackCount);
        // Set up MediaMuxer for the destination.
        MediaMuxer muxer;

harlow

Golang Workers / Job Queue

A running example of the code from:

• http://marcio.io/2015/07/handling-1-million-requests-per-minute-with-golang
• http://nesv.github.io/golang/2014/02/25/worker-queues-in-go.html

This gist creates a working example from blog post, and a alternate example using simple worker pool.

TLDR: if you want simple and controlled concurrency use a worker pool.

javierarques

// Sticky Nav Component
var Sticky = (function() {
  'use strict';

  var CSS_CLASS_ACTIVE = 'is-fixed';

  var Sticky = {
    element: null,
    position: 0,
    addEvents: function() {

ptarjan

Scaling your API with rate limiters

The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.

In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.

Request rate limiter

This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.

ArsalRaza

import android.annotation.SuppressLint;
import android.media.MediaCodec;
import android.media.MediaExtractor;
import android.media.MediaFormat;
import android.media.MediaMetadataRetriever;
import android.media.MediaMuxer;
import android.util.Log;

import java.io.IOException;
import java.nio.ByteBuffer;

tasdikrahman

frontend kingsly-frontend
  ...
  ...
  acl ALLOW_SRC src -f /etc/haproxy/include/allow-ips.lst
  http-request deny if !ALLOW_SRC
  ...
  ...
  default_backend kingsly