Hari haran hariharan-uno

#Techniques for Anti-Aliasing @font-face on Windows

It all started with an email from a client: Do these fonts look funky to you? The title is prickly.

The font in question was Port Lligat Sans from Google Web Fonts.

The "prickly" is aliasing caused by lack of hinting

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

ANNOUNCEMENT

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!

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The introduction to Reactive Programming you've been missing

(by @andrestaltz)

This tutorial as a series of videos

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.

There are three easy to make mistakes in go. I present them here in the way they are often found in the wild, not in the way that is easiest to understand.

All three of these mistakes have been made in Kubernetes code, getting past code review at least once each that I know of.

Loop variables are scoped outside the loop.

What do these lines do? Make predictions and then scroll down.

func print(pi *int) { fmt.Println(*pi) }

	# NOTE: This code was extracted from a larger class and has not been
	# tested in this form. Caveat emptor.
	import django.conf
	import django.contrib.auth
	import django.core.handlers.wsgi
	import django.db
	import django.utils.importlib
	import httplib
	import json
	import logging

	#! /usr/bin/env python
	import fileinput
	import argparse
	from operator import itemgetter

	parser = argparse.ArgumentParser()
	parser.add_argument('--target-mb', action = 'store', dest = 'target_mb', default = 61000, type = int)
	parser.add_argument('vmtouch_output_file', action = 'store', nargs = '+')
	args = parser.parse_args()

	Latency Comparison Numbers (~2012)
	----------------------------------
	L1 cache reference 0.5 ns
	Branch mispredict 5 ns
	L2 cache reference 7 ns 14x L1 cache
	Mutex lock/unlock 25 ns
	Main memory reference 100 ns 20x L2 cache, 200x L1 cache
	Compress 1K bytes with Zippy 3,000 ns 3 us
	Send 1K bytes over 1 Gbps network 10,000 ns 10 us
	Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD

	[unix_http_server]
	file=/tmp/supervisor.sock ; path to your socket file

	[supervisord]
	logfile=/var/log/supervisord/supervisord.log ; supervisord log file
	logfile_maxbytes=50MB ; maximum size of logfile before rotation
	logfile_backups=10 ; number of backed up logfiles
	loglevel=error ; info, debug, warn, trace
	pidfile=/var/run/supervisord.pid ; pidfile location
	nodaemon=false ; run supervisord as a daemon

	package main

	import (
	"fmt"
	"strconv"
	"strings"
	)

	type Maze struct {
	x [5][5]int