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Automating Capistrano Password Prompts with Expect
I just started using Capistrano for deploying my Rails applications (like Snapclean.me"). I also just started using capistrano_rsync_with_remote_cache to help push releases out faster than the :copy deploy strategy. I’m very happy with how much faster it is than the a :copy, but I’m impatient and having to provide the password more than once per invocation is frustrating to me. I know the old Unix
Muninã®Pluginã‚’Zabbixã§ä½¿ã†wrapperçš„ãªã‚‚ã®ã‚’作ã£ã¦ã¿ãŸ(Zabbix 2.0.0rc2対応) - æ°—ã¾ã¾ã«ã‚¤ãƒ³ãƒ•ãƒ©ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢
Zabbix API ã®Python liblaryを使ã£ã¦ã¾ã™ã€‚(Zabbix 2.0.0rc2ã§å‹•ä½œç¢ºèªã€‚1.8ç³»ã¯APIãŒé•ã†ã®ã§ã€é ‘å¼µã£ã¦JSONã®ä¸èº«ã‚’変ãˆã¦ä¸‹ã•ã„。) スクリプト本体ãŠãã° https://github.com/oopsops/scripts/blob/master/zabbix/zabbix_munin_plugin.py 使ã„æ–¹ # UserParameterã«ç™»éŒ²ã—ã¦Agentをリスタート echo 'UserParameter=munin[*],/usr/share/munin/plugins/$1 |grep "^$2.value" |cut -d " " -f2' > /etc/zabbix/zabbix_agentd.d/userparameter_munin_plugin.conf service zabbix-agent restart # é©
404 Not Found ãŠæŽ¢ã—ã®ãƒšãƒ¼ã‚¸ã¯è¦‹ã¤ã‹ã‚Šã¾ã›ã‚“ã§ã—ãŸã€‚ - PlayStation
404 Not Found ãŠæŽ¢ã—ã®ãƒšãƒ¼ã‚¸ã¯è¦‹ã¤ã‹ã‚Šã¾ã›ã‚“ã§ã—ãŸã€‚ èª ã«ç”³ã—訳ã”ã–ã„ã¾ã›ã‚“ãŒã€ãŠæŽ¢ã—ã®ãƒšãƒ¼ã‚¸ã¯å‰Šé™¤ã•ã‚ŒãŸã‹ã€URLãŒå¤‰æ›´ã«ãªã£ãŸå¯èƒ½æ€§ãŒã‚ã‚Šã¾ã™ã€‚ ãŠæ‰‹æ•°ã§ã™ãŒã€ä»¥ä¸‹ã®ãƒŠãƒ“ゲーションã‹ã‚‰ãƒšãƒ¼ã‚¸ã‚’ãŠæŽ¢ã—ãã ã•ã„。 ホームページã«æˆ»ã£ã¦ åˆã‚ã‹ã‚‰æŽ¢ã™ PlayStationオフィシャルサイトã§ã¯ã‚²ãƒ¼ãƒ æ©Ÿæœ¬ä½“ã‚„ã‚²ãƒ¼ãƒ ã‚½ãƒ•ãƒˆæƒ…å ±ã€å„ç¨®ã‚µãƒ¼ãƒ“ã‚¹æƒ…å ±ã‚’ãŠæŽ¢ã—ã„ãŸã ã‘ã¾ã™ã€‚
TLS termination: stunnel, nginx & stud, round 2
A month ago, I published an article on the compared performance of stunnel, nginx and stud as TLS terminators. The conclusion was to use stud on a 64-bit system, with session caching and AES. stunnel was unable to scale properly and nginx exhibited important latency issues. I got constructive comments on many aspects. Therefore, here is the second round. The protagonists are the same but both the
haproxy を使ã£ã¦ãŠæ‰‹è»½ HA æ§‹æˆ - Solr, Python, MacBook Air in Shinagawa Seaside
haproxy ã¯L7ãƒãƒ¼ãƒ‰ãƒãƒ©ãƒ³ã‚µã®ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã§ã™ã€‚ ã“ã‚Œã«ã‚ˆã£ã¦ Solr ã¸ã®æ¤œç´¢è¦æ±‚をタダã§ç°¡å˜ã«å†—é•·åŒ–ãƒ»è² è·åˆ†æ•£ã™ã‚‹ã“ã¨ãŒã§ãるよã†ã«ãªã‚Šã¾ã™ã€‚ haproxy インストール $ wget http://haproxy.1wt.eu/download/1.4/src/haproxy-1.4.8.tar.gz $ cd haproxy-1.4.8 $ make TARGET=linux26 <- OSã®ã‚¿ã‚¤ãƒ—を指定。READMEã‚’å‚ç…§ $ su - # make install <- デフォルトã¯/usr/local。変更ã™ã‚‹å ´åˆã¯PREFIX=/hoge/localãªã©æŒ‡å®š # cp examples/haproxy.init /etc/init.d/haproxy # chmod 755 /etc/init.d/haproxy # chkconfig --add haprox
HAProxyを使ã£ãŸMySQLã®å†—長化 - so what
HAProxyを使ã£ã¦MySQLを冗長化ã—ã¦ã¿ã‚‹ã€‚ サーãƒæ§‹æˆ HAProxyã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ« wget http://haproxy.1wt.eu/download/1.4/src/haproxy-1.4.10.tar.gz tar xf haproxy-1.4.10.tar.gz cd haproxy-1.4.10 make TARGET=linux26 make install cp examples/haproxy.init /etc/init.d/haproxy chmod 755 /etc/init.d/haproxy sed -i -r 's|/usr/sbin|/usr/local/sbin|' /etc/init.d/haproxy useradd -s /sbin/nologin haproxy mkdir /etc/haproxy touch /etc/haproxy/
HAProxyã§HTTPヘッダーをæ“作ã™ã‚‹ã€‚（レスãƒãƒ³ã‚¹ç·¨ï¼‰ - shimulaã®æ—¥è¨˜
å‰å›žã®ç¶šã(id:shimula:20101020)ã§ã€ä»Šå›žã¯ãƒ¬ã‚¹ãƒãƒ³ã‚¹ã‚’HAProxyã§æ“作ã—ã¦ã¿ã¾ã™ã€‚ rspadd HTTPレスãƒãƒ³ã‚¹ãƒ˜ãƒƒãƒ€ãƒ¼ã‚’è¿½åŠ ã—ã¾ã™ã€‚ è¨å®šä¾‹ï¼š"X-Resp-Greeding"ãƒ˜ãƒƒãƒ€ãƒ¼ã‚’è¿½åŠ ã—ã¾ã™ã€‚ listen web1 bind :8080 mode http server web1 192.0.2.1:80 check rise 1 fall 3 rspadd X-Resp-Greeding:\ Hello http://192.0.2.1:8080/ã«ã‚¢ã‚¯ã‚»ã‚¹ã—ãŸæ™‚ã®ãƒ¬ã‚¹ãƒãƒ³ã‚¹ãƒ˜ãƒƒãƒ€ãƒ¼ã¯ã€ä»¥ä¸‹ã®çµæžœã¨ãªã‚Šã¾ã—ãŸã€‚最後ã«"X-Resp-Greeding"ヘッダーãŒè¿½åŠ ã•ã‚Œã¦ã„ã‚‹ã“ã¨ã‚’確èªã§ãã¾ã—ãŸã€‚ HTTP/1.1 304 Not Modified Date: Sat, 13 Nov 2010 11:39:44 GMT Server: Apache/2
Introducing Apache Giraph for Large Scale Graph Processing
This document introduces Apache Giraph, an open source implementation of Google's Pregel framework for large scale graph processing. Giraph allows for distributed graph computation using the bulk synchronous parallel (BSP) model. Key points: - Giraph uses the vertex-centric programming model where computation is defined in terms of messages passed between vertices. - It runs on Hadoop and uses its
NEX-7 35mmレンズ解åƒåº¦æ¯”較 | GANREF
GANREFをより便利ã«ã”利用ã„ãŸã ããŸã‚ã®æœ‰æ–™ã‚µãƒ¼ãƒ“スã§ã™ã€‚åˆå›žã«é™ã‚Šå…¥ä¼šæœˆã¯ç„¡æ–™ã§ãŠè©¦ã—ã„ãŸã ã‘ã¾ã™ã®ã§ã€ãœã²ä¸€åº¦GANREFプレミアムサービスを体験ã—ã¦ã¿ã¦ãã ã•ã„。
gité“å ´#1å‚åŠ ã—㟠#gitdojo - ppworks.jp
ã¯ã˜ã‚㫠最後ã«ã¯å¸«ç¯„代ã«èªå®š git覚ãˆãŸã‚‰ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã‚’ heroku.com 㸠deploy ã—よㆠ心: gitç·è«–ã€å¿ƒæ§‹ãˆ @iwamatsu 岩æ¾ã•ã‚“ Debianã®OS開発 師範 å½¼ãŒmergeã‚„rebaseãŒã§ããªã‹ã£ãŸã€‚別れãŸã„ gitã¯åˆ†æ•£ リモートリãƒã‚¸ãƒˆãƒªã¨ãƒãƒ¼ã‚«ãƒ«ãƒªãƒã‚¸ãƒˆãƒª 主ãªä½œæ¥ã¯ãƒãƒ¼ã‚«ãƒ«ãƒªãƒã‚¸ãƒˆãƒªã§è¡Œã† å¿…è¦ãªãƒ‡ãƒ¼ã‚¿ãŒãƒãƒ¼ã‚«ãƒ«ã«ã‚ã‚‹ã®ã§å‹•ä½œãŒé€Ÿã„ プッシュã—ã¦ã¯ã˜ã‚ã¦ã€ä»–ã®ãƒ¦ãƒ¼ã‚¶ãƒ¼ã¨å±¥æ´å…±æœ‰ã™ã‚‹ã€‚ ãƒãƒ¼ã‚«ãƒ«ãƒªãƒã‚¸ãƒˆãƒªã¯ãŠã‚Œã®ã‚‚ã®ã€‚リモートリãƒã‚¸ãƒˆãƒªã¯ã¿ã‚“ãªã®ã‚‚㮠リモートリãƒã‚¸ãƒˆãƒªã¨ãƒãƒ¼ã‚«ãƒ«ãƒªãƒã‚¸ãƒˆãƒª HEAD ã„ã¾ãƒã‚§ãƒƒã‚¯ã‚¢ã‚¦ãƒˆã—ã¦ã„るも㮠作æ¥ä¸ã«èª°ã‹ãŒã‚³ãƒŸãƒƒãƒˆã‚’プッシュã—ã¦ã‚‚ã€ãƒãƒ¼ã‚«ãƒ«ã¯èªè˜ã§ããªã„ リモートã®ä½œæ¥ã‚’åæ˜ ã™ã‚‹ã¾ã§ã¯ãã®è¾ºã¯æ°—ã«ã—ãªã„ã§è‰¯ã„ gitã¯é ‘å¥ ä¹±æš´ã«è¨€ã†ã¨ã‚¹ãƒŠãƒƒãƒ—ショットシステムSHA1ãƒãƒƒã‚·ãƒ¥ã§ç®¡ç†ã•ã‚Œã¦ã„る。 コミット
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source-mapã‚’å¯è¦–化ã™ã‚‹ - Islands in the byte stream (legacy)
source-mapã¯éžå¸¸ã«æœŸå¾…ã®ã§ãる技術ã ãŒã€è»½ã仕様をèªã‚“ã§ã‚‚ã©ã®ã‚ˆã†ã«å‹•ãã®ã‹ã‚ˆãã‚ã‹ã‚‰ãªã„。ãã“ã§ã€souce-mapã‚’å¯è¦–化ã™ã‚‹ãƒ„ールを作ã£ã¦ã¿ãŸã€‚source-mapã®å‡¦ç†ã«ã¯mozillaã®JavaScriptã«ã‚ˆã‚‹å®Ÿè£…を使ã£ãŸã€‚ å·¦ãŒã‚ªãƒªã‚¸ãƒŠãƒ«ã®ã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ã€å³ãŒclosure compilerã§æœ€é©åŒ–ã—ãŸã‚³ãƒ¼ãƒ‰ã§ã‚る。具体的ãªã‚³ãƒžãƒ³ãƒ‰ãƒ©ã‚¤ãƒ³ã‚ªãƒ—ションã¯ä»¥ä¸‹ã®repositoryã®Makefileå‚ç…§ã®ã“ã¨ã€‚è¦ç´ ã‹ã‚‰è¦ç´ ã¸ã®ç·šã¯canvasを利用ã—ãŸã€‚Chromeã¨Firefoxã§ã®ã¿ç¢ºèªã—ãŸã®ã§ã€ä»–ã®ãƒ–ラウザã§ã¯ã†ã¾ã表示ã§ããªã„ã‹ã‚‚ã—ã‚Œãªã„。 demo repository 改良ã®ä½™åœ°ã¯ã‚ã‚‹ã‚‚ã®ã®ã€ã¨ã‚Šã‚ãˆãšã“ã‚Œã§ãƒ‡ãƒãƒƒã‚°ã§ãるよã†ã«ãªã£ãŸã€‚
optparseã‹ã‚‰argparseã«å¤‰æ›´ã€‚ — ペンギンã¨æ„‰å¿«ãªæ©Ÿæ¢°ã®æ—¥ã€…
optparseã‹ã‚‰argparseã«å¤‰æ›´ã€‚ 1 tonicdnscli ã®Python 3ã¸ã®å¯¾å¿œã‚’ã—よã†ã¨ã—ãŸéš›ã€ã‚³ãƒžãƒ³ãƒ‰ãƒ©ã‚¤ãƒ³ã‚ªãƒ—ションã«ä½¿ç”¨ã—ã¦ã„ã‚‹ optparseモジュールãŒPython 2.7 ã§å»ƒæ¢äºˆå®šã ã¨ã„ã†ã“ã¨ã‚’知りã¾ã—ãŸã€‚ãã“ã§ã€optparseã‹ã‚‰argparseã«å¤‰æ›´ã™ã‚‹ã“ã¨ã«ã—ã¾ã—ãŸã€‚optparseã§ã¯ã€å…¥åŠ›ãƒ•ã‚¡ã‚¤ãƒ«ã‚’JSONå½¢å¼ã§è¡¨ç¤ºã•ã›ã‚‹ãŸã‚ã®ã‚ªãƒ—ションやã€TonicDNSã‹ã‚‰ãƒ¬ã‚³ãƒ¼ãƒ‰ã‚’å–å¾—ã—ã¦è¡¨ç¤ºã€ãƒ¬ã‚³ãƒ¼ãƒ‰ã®ç™»éŒ²ã€ãƒ¬ã‚³ãƒ¼ãƒ‰ã®å‰Šé™¤ã‚’è¡Œã†ã®ã‚’オプションã§è¡Œã£ã¦ã„ã¾ã—ãŸãŒã€argparseã«å¤‰æ›´ã™ã‚‹ã‚¿ã‚¤ãƒŸãƒ³ã‚°ã§ã€ã“れらをサブコマンドã¨ã—ã¦å®Ÿè£…ã—ãªãŠã—ã¾ã—ãŸã€‚変更ã—ãŸçµæžœãŒä¸‹è¨˜ã®è¡¨ã§ã™ã€‚ 機能 optparse argparse 変æ›ãƒ»è¡¨ç¤º -o/–stdout show å–得表示 -g/–retrieve get レコード登録 -c/–create creat
Building a Website to Scale to 100 Million Page Views Per Day and Beyond (open to the public) - ConFoo 2012 - Joind.in
Building a Website to Scale to 100 Million Page Views Per Day and Beyond (open to the public) Comments Comments are closed. This would have been a perfect session talk. The topic was interesting as was the content. The speaker could use quite a bit more practice at public speaking. I think some more visual slides (no, not implying the porn), showing how the caching and traffic is actually routed a
Effective Web App Analytics with Redis - Progstr Filer
TL;DR; Redis is cool and you should use it for any time series data. I remember reading about a company that refused to ship a feature to production unless it was hooked to their statistics backend and logged its usage patterns and other important performance metrics business- and tech-wise. At the time I thought that was a very cool idea. The problem - how do we implement that with minimum effort
YouPorn - Targeting 200 Million Views a Day and Beyond - High Scalability -
Update: Here's the video of the talk. Erick Pickup, lead developer at YouPorn.com, presented their architecture in a talk titled Building a Website To Scale given at the ConFoo conference. Â As you might expect, YouPorn is a beast, streaming three full DVDs of video every second, handing 300K queries every second, and generating up to 15GBs of log data per hour. Unfortunately, all we have are the s
Redisã®ãƒ¡ãƒ¢ãƒªç®¡ç†ãƒãƒªã‚·ãƒ¼ã«ã¤ã„ã¦
オンメモリ KVS ã® Redis ã§ã¯ã€ä½¿ç”¨ãƒ¡ãƒ¢ãƒªã«ä¸Šé™ã‚’è¨å®šã—ã€é–¾å€¤ã‚’超ãˆãŸå ´åˆã®ãƒãƒªã‚·ãƒ¼(maxmemory-policy)を複数ã®ä¸ã‹ã‚‰è¨å®šã§ãるよã†ã«ãªã£ã¦ã„る。 パラメータã¨ãƒãƒªã‚·ãƒ¼ã‚’æ•´ç†ã—ãŸã®ãŒä»¥ä¸‹ 使用メモリã®ä¸Šé™å€¤ redis.conf ã®æ¬¡ã®ãƒ‘ラメータã§è¨å®šã™ã‚‹ã€‚ maxmemory maxmemory-policy メモリ使用é‡ãŒé–¾å€¤ã‚’超ãˆã¦ã„る状æ³ã§ã‚ãƒ¼è¿½åŠ ã™ã‚‹å ´åˆã®æŒ¯ã‚‹èˆžã„を定義ã™ã‚‹ã€‚以下㮠6 ã¤ã® maxmemory-policy ã‹ã‚‰é¸æŠžã§ãる。 volatile-lru : remove the key with an expire set using an LRU algorithm allkeys-lru : remove any key accordingly to the LRU algorithm volatile-random : remove
OTN Japan マニュアル
クラウド・アカウント クラウド・ダッシュボードã¸ã®ã‚¢ã‚¯ã‚»ã‚¹ã€ã”注文ã®ç®¡ç†ãªã©ã€ã•ã¾ã–ã¾ãªæ“作を行ãˆã¾ã™ã€‚ サインイン国をé¸æŠž
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UILabelã¯ã€iOSアプリ開発ã«ãŠã„ã¦ä½¿ç”¨é »åº¦ã®é«˜ã„クラスã§ã™ãŒã€ã‚«ãƒ¦ã„ã¨ã“ã‚ã«æ‰‹ãŒå±Šã‹ãªã‹ã£ãŸã‚Šã—ã¾ã™ã€‚ãŸã¨ãˆã°ãƒ†ã‚ストã®ä¸€éƒ¨ã ã‘強調表示ã™ã‚‹ã¨ã„ã£ãŸä½¿ã„æ–¹ã¯ã§ãã¾ã›ã‚“ã—ã€å‹•çš„ã«æ›´æ–°ã•ã‚Œã‚‹ãƒ†ã‚ストを上寄ã›ã«ã—よã†ã¨æ€ã£ãŸã‚‰ã€ãã®ãƒ†ã‚ストãŒã¡ã‚‡ã†ã©ç´ã¾ã‚‹UILabelã®ã‚µã‚¤ã‚ºã‚’算出ã™ã‚‹ãƒ¡ã‚½ãƒƒãƒ‰ã‚’コールã—ã¦ã‚µã‚¤ã‚ºã‚’指定ã™ã‚‹å¿…è¦ãŒã‚ã‚Šã¾ã™ã€‚ 今回ã¯ãã‚“ãªUILabelã®æ©Ÿèƒ½ã‚’æ‹¡å¼µã—ã¦ãれるサブクラス3種を紹介ã—ã¾ã™ã€‚ OHAttributedLabel 特徴 NSAttributedStringをラップã—ã¦UILabelã«æŒãŸã›ãŸã‚‚ã®ã§ã€ãƒ†ã‚ストã®ä¸€éƒ¨ã ã‘フォントや色を変ãˆãŸã‚Šã¨ã„ã£ãŸæŒ‡å®šãŒç°¡å˜ã«ã§ãるよã†ã«ãªã‚Šã¾ã™ã€‚ ã¾ãŸãƒªãƒ³ã‚¯ã®ä»˜ä¸Žã€ãƒ†ã‚スト上寄ã›ã¨ã„ã£ãŸã“ã¨ã‚‚ç°¡å˜ã«ã§ãã¾ã™ã€‚ OHAttributedLabelã®ä½¿ç”¨ä¾‹ 使用準備 ソースコードを以下ã®URLよりダウンãƒãƒ¼ãƒ‰ https
第3回　実装ã®é¢å€’ãªéƒ¨åˆ†ã‚’ã†ã¾ãラップã—ã¦ãã‚Œã¦ã„る便利カテゴリ3é¸ | gihyo.jp
Objective-Cã®ã‚«ãƒ†ã‚´ãƒªã®ä»•çµ„ã¿ã‚’使ã†ã¨ã€æ—¢å˜ã‚¯ãƒ©ã‚¹ã«æ‰‹ã‚’åŠ ãˆã‚‹ã“ã¨ãªãæ©Ÿèƒ½ã‚’è¿½åŠ ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ãŸã¨ãˆã°ã€NSArrayã§é…列内ã®è¦ç´ をシャッフルã—ãŸã„å ´åˆã€ãƒ˜ãƒƒãƒ€ãƒ•ã‚¡ã‚¤ãƒ«ã‚’作æˆã—ã¦ã‚·ãƒ£ãƒƒãƒ•ãƒ«ç”¨ãƒ¡ã‚½ãƒƒãƒ‰ã‚’定義ã—〠@interface NSArray (Shuffle) - (NSArray *)shuffle; @end 下記ã®ã‚ˆã†ã«å®Ÿè£…ã—ã¦ãŠã‘ã°ã€ @implementation NSArray (Shuffle) - (NSArray *)shuffle { // NSArray ã®è¦ç´ をシャッフルã™ã‚‹ã‚³ãƒ¼ãƒ‰ } @end ã‚ã¨ã¯ãƒ˜ãƒƒãƒ€ãƒ•ã‚¡ã‚¤ãƒ«ã‚’importã™ã‚‹ã ã‘ã§shuffleã¨ã„ã†ãƒ¡ã‚½ãƒƒãƒ‰ãŒNSArrayã®ã‚ªãƒ–ジェクトã‹ã‚‰ä½¿ç”¨ã§ãるよã†ã«ãªã‚Šã¾ã™ã€‚ ã“ã®ã‚ˆã†ã«ã€ã‚«ãƒ†ã‚´ãƒªã¨ã„ã†ä»•çµ„ã¿ã‚’使用ã™ã‚‹ã¨ä½¿ã„回ã—ã®ã—ã‚„ã™ã„å½¢ã§æ—¢å˜ã‚¯ãƒ©ã‚¹ã‚’機能拡張ã§ãã‚‹ãŸã‚ã€UIKitã‚„Fou
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