Ho anbinh

Raspberry Pi on Internet via reverse SSH tunnel

HackerNews discussed this with many alternative solutions: https://news.ycombinator.com/item?id=24893615

I already have my own domain name: mydomain.com. I wanted to be able to run some webapps on my Raspberry Pi 4B running perpetually at home in headless mode (just needs 5W power and wireless internet). I wanted to be able to access these apps from public Internet. Dynamic DNS wasn't an option because my ISP blocks all incoming traffic. ngrok would work but the free plan is too restrictive.

I bought a cheap 2GB RAM, 20GB disk VM + a 25GB volume on Hetzner for about 4 EUR/month. Hetzner gave me a static IP for it. I haven't purchased a floating IP yet.

Live streaming with HTML5

This document contains collected notes regarding html5 live streaming approaches. I'm trying to understand how to build a system that enables streaming of live video to HTML5 clients. Following content is mainly centered around MPEG-DASH - modern way of dealing with given needs.

Approach 1

To prepare movie.avi from MPEG-DASH streaming we will execute following ffmpeg commands:

> ffmpeg -y -i movie.avi -an -c:v libx264 -x264opts 'keyint=24:min-keyint=24:no-scenecut' -b:v 1500k -maxrate 1500k -bufsize 3000k -vf "scale=-1:720" movie-720.mp4
> ffmpeg -y -i movie.avi -an -c:v libx264 -x264opts 'keyint=24:min-keyint=24:no-scenecut' -b:v 800k -maxrate 800k -bufsize 1600k -vf "scale=-1:540" movie-540.mp4
&gt; ffmpeg -y -i movie.avi -an -c:v libx264 -x264opts 'keyint=24:min-keyint=24:no-scenecut' -b:v 400k -maxrate 400k -bufsize 800k -vf "scale=-1:360" movie-360.mp4

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

Benchmarking Nginx with Go

There are a lot of ways to serve a Go HTTP application. The best choices depend on each use case. Currently nginx looks to be the standard web server for every new project even though there are other great web servers as well. However, how much is the overhead of serving a Go application behind an nginx server? Do we need some nginx features (vhosts, load balancing, cache, etc) or can you serve directly from Go? If you need nginx, what is the fastest connection mechanism? This are the kind of questions I'm intended to answer here. The purpose of this benchmark is not to tell that Go is faster or slower than nginx. That would be stupid.

So, these are the different settings we are going to compare:

Go HTTP standalone (as the control group)
Nginx proxy to Go HTTP
Nginx fastcgi to Go TCP FastCGI
Nginx fastcgi to Go Unix Socket FastCGI

303 See Other

Location: https://github.com/wsargent/docker-cheat-sheet

Hi there!

The docker cheat sheet has moved to a Github project under https://github.com/wsargent/docker-cheat-sheet.

Please click on the link above to go to the cheat sheet.

NERDTree

o.......Open files, directories and bookmarks....................|NERDTree-o|
go......Open selected file, but leave cursor in the NERDTree.....|NERDTree-go|
t.......Open selected node/bookmark in a new tab.................|NERDTree-t|
T.......Same as 't' but keep the focus on the current tab........|NERDTree-T|
i.......Open selected file in a split window.....................|NERDTree-i|
gi......Same as i, but leave the cursor on the NERDTree..........|NERDTree-gi|
s.......Open selected file in a new vsplit.......................|NERDTree-s|
gs......Same as s, but leave the cursor on the NERDTree..........|NERDTree-gs|

O.......Recursively open the selected directory..................|NERDTree-O|

	// ==UserScript==
	// @name sketchfab2obj
	// @description Save Sketchfab models as obj
	// @author <anonimus>
	//
	// Version Number
	// @version 1.62
	//
	// Urls process this user script on
	// @include /^https?://(www\.)?sketchfab\.com/models/.*

	# You don't need Fog in Ruby or some other library to upload to S3 -- shell works perfectly fine
	# This is how I upload my new Sol Trader builds (http://soltrader.net)
	# Based on a modified script from here: http://tmont.com/blargh/2014/1/uploading-to-s3-in-bash

	S3KEY="my aws key"
	S3SECRET="my aws secret" # pass these in

	function putS3
	{
	path=$1

	package httpclient

	import (
	"net"
	"net/http"
	"time"
	)

	type Config struct {
	ConnectTimeout time.Duration

	<?php
	if (isset($_GET['ajax'])) {
	session_start();
	$handle = fopen('/private/var/log/system.log', 'r');
	if (isset($_SESSION['offset'])) {
	$data = stream_get_contents($handle, -1, $_SESSION['offset']);
	echo nl2br($data);
	} else {
	fseek($handle, 0, SEEK_END);
	$_SESSION['offset'] = ftell($handle);