fnando

upstream tunnel {
  server 127.0.0.1:3000;
}

server {
  listen 80;
  server_name dev.codeplane.com br.dev.codeplane.com;
  
  location / {
    proxy_set_header  X-Real-IP  $remote_addr;

winhamwr

Creating a dynamic site-to-site VPN with OpenSwan on Ubuntu 10.04 on EC2

Wes Winham [email protected]

There are many tutorials floating around the web that almost get you a dynamic VPN in EC2. The goal of this tutorial is to be a one-stop-shop for this specific setup.

mbostock

license: gpl-3.0
redirect: https://observablehq.com/@d3/d3-collapsible-tree

hadley

R is like:

• Clojure, because most objects are immutable
• Scala, because it combined functional and OO techniques
• Node.js, because the interpreter is single threaded
• PHP, because it favours pragmatism over purity
• Lisp, because it's homoiconic
• Perl, because OO is (mostly) implemented using the language itself

plentz

# to generate your dhparam.pem file, run in the terminal
openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048

robschmuecker

This example pulls together various examples of work with trees in D3.js.

The panning functionality can certainly be improved in my opinion and I would be thrilled to see better solutions contributed.

One can do all manner of housekeeping or server related calls on the drop event to manage a remote tree dataset for example.

Dragging can be performed on any node other than root (flare). Dropping can be done on any node.

Panning can either be done by dragging an empty part of the SVG around or dragging a node towards an edge.

denji

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.

kevin-smets

Default

Powerlevel10k

withr

library(shiny)
library(datasets)
Logged = FALSE;
PASSWORD <- data.frame(Brukernavn = "withr", Passord = "25d55ad283aa400af464c76d713c07ad")
# Define server logic required to summarize and view the selected dataset
shinyServer(function(input, output) {
  source("www/Login.R",  local = TRUE)
  
  observe({
    if (USER$Logged == TRUE) {

v0lkan

user web;

# One worker process per CPU core.
worker_processes 8;

# Also set
# /etc/security/limits.conf
#   web soft nofile 65535
#   web hard nofile 65535
# /etc/default/nginx