loipv

Backend Architectures

Twitter

ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats

• Introduce Gizzard of Twitter - 트위터의 새로운 분산 관리 라이브러리 Gizzard를 소개합니다.
• The Architecture Twitter Uses to Deal with 150M Active Users, 300K QPS, a 22 MB/S Firehose, and Send Tweets in Under 5 Seconds
• Scaling Twitter: Making Twitter 10000 Percent Faster

loipv

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.

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Keybase proof

I hereby claim:

• I am loipv on github.
• I am loipv (https://keybase.io/loipv) on keybase.
• I have a public key ASCLfxUeLDf38hXT9t0GoQFAhBcZDFo0Ezb49HJpFiX4-wo

To claim this, I am signing this object:

loipv

# see How to Install Redis Server on CentOS 7 - http://linoxide.com/storage/install-redis-server-centos-7/

# --- Compiling ---
$ yum install gcc make tcl
$ REDIS_VER=3.2.3
$ wget http://download.redis.io/releases/redis-$REDIS_VER.tar.gz
$ tar xzvf redis-$REDIS_VER.tar.gz
$ cd redis-$REDIS_VER
$ make
$ make test

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# Project Setup

Create a directory and run the following command.

```sh
npm init 
```

For this tutorial, I will be adding an index.js file to the `src` folder, and this will be our entry point. 
Our file directory should look like this.