(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
{ | |
"name": "my-app", | |
"version": "1.0.0", | |
"description": "My test app", | |
"main": "src/js/index.js", | |
"scripts": { | |
"jshint:dist": "jshint src/js/*.js", | |
"jshint": "npm run jshint:dist", | |
"jscs": "jscs src/*.js", | |
"browserify": "browserify -s Validating -o ./dist/js/build.js ./lib/index.js", |
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
When hosting our web applications, we often have one public IP
address (i.e., an IP address visible to the outside world)
using which we want to host multiple web apps. For example, one
may wants to host three different web apps respectively for
example1.com
, example2.com
, and example1.com/images
on
the same machine using a single IP address.
How can we do that? Well, the good news is Internet browsers
I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!
\
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.
# Add to nginx.conf http section | |
map $http_upgrade $connection_upgrade { | |
default upgrade; | |
'' close; | |
} |
Hey! I saw this has been indexed by the search engines. It is a first draft of a post I ended up publishing on my blog at: Scaling PostgreSQL With Pgpool and PgBouncer
Thanks for stopping by!
-- show running queries (pre 9.2) | |
SELECT procpid, age(clock_timestamp(), query_start), usename, current_query | |
FROM pg_stat_activity | |
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' | |
ORDER BY query_start desc; | |
-- show running queries (9.2) | |
SELECT pid, age(clock_timestamp(), query_start), usename, query | |
FROM pg_stat_activity | |
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%' |
#!/usr/bin/env python | |
# | |
# pyget2.py | |
# A python download accelerator | |
# | |
# This file uses multiprocessing along with | |
# chunked/parallel downloading to speed up | |
# the download of files (if possible). | |
# | |
# @author Benjamin Hutchins |