On Leaving Facebook
I left Facebook (Meta) in 2021 to join a small startup called Replit. Leaving wasn’t easy, and during the process I’ve talked to half a dozen friends who were in the similar situation. I hope this post would be useful to senior engineers who are looking to leave. Disclaimers: This post isn’t sponsored by Replit, Facebook (Meta), or any other company or product mentioned here. The advice might not
Gorilla: A fast, scalable, in-memory time series database | the morning paper
the morning paper a random walk through Computer Science research, by Adrian Colyer Made delightfully fast by strattic Gorilla: A fast, scalable, in-memory time series database – Pelkonen et al. 2015 Error rates across one of Facebook’s sites were spiking. The problem had first shown up through an automated alert triggered by an in-memory time-series database called Gorilla a few minutes after the
ã“ã®ãƒšãƒ¼ã‚¸ã‚’見るã«ã¯ã€ãƒã‚°ã‚¤ãƒ³ã¾ãŸã¯ç™»éŒ²ã—ã¦ãã ã•ã„
Facebookã§æŠ•ç¨¿ã‚„写真ãªã©ã‚’ãƒã‚§ãƒƒã‚¯ã§ãã¾ã™ã€‚
PHPカンファレンス2014ã§HHVM/Hackã®è©±ã‚’èžã„ã¦æ„Ÿå‹•ã—㟠- As a Futurist...
使ãˆã‚‹è¨€èªžã®å¹…を広ã’ãŸã„ã¨æ€ã£ã¦PHP カンファレンス 2014ã«å‚åŠ ã—ã¦ãã¾ã—ãŸã€‚徳丸ã•ã‚“ã®ã€Œå®‰å…¨ãª PHP アプリケーションã®ä½œã‚Šæ–¹ 2014ã€ã¯æ”¹ã‚ã¦è‡ªåˆ†ã®ã‚»ã‚ュリティã®çŸ¥è˜ã‚’確ã‹ã‚ã‚‹ã®ã«å¤§å¤‰æœ‰æ„義ã ã£ãŸã®ã§ã™ãŒã€ä½•ã‚ˆã‚Šæ„Ÿå‹•ã—ãŸã®ãŒ Facebook ã® Paul Tarjan ã«ã‚ˆã‚‹ã€ŒHHVM + Hack == PHP++ã€ã®ã‚»ãƒƒã‚·ãƒ§ãƒ³ã§ã—ãŸã€‚ ã™ã”ãç°¡å˜ã«åƒ•ãŒç†è§£ã—ãŸé™ã‚Šã§ HHVM/Hack を紹介ã™ã‚‹ã¨ã€HHVM ã¨ã¯ PHP ã®å‡¦ç†ç³»ã®ä¸€ã¤ã®å®Ÿè£…ã§ã™ã€‚ãã®ç‰¹å¾´ã¯ JIT コンパイルã«ã‚ˆã‚Šè¶…高速ã«ãªã£ã¦ã„ã‚‹ã“ã¨ã«åŠ ãˆã€åœ§å€’çš„ãªé…力㯠PHP ã® Extension(C 拡張ライブラリ)ã®å¤šããŒå®Ÿè£…ã•ã‚Œã¦ã„㦠PHP ã®ãƒ¡ã‚¸ãƒ£ãƒ¼ãªãƒ•ãƒ¬ãƒ¼ãƒ ワークãŒå•é¡Œãªã動作ã™ã‚‹ã¨ã„ã†ã“ã¨ã§ã™ã€‚ã¤ã¾ã‚Šã‚‚ã†å®Ÿè·µã§æˆ¦ãˆã‚‹ã¨ã„ã†ã“ã¨ã€‚ãã—ã¦ã€Hack ã¨ã„ã†ã®ã¯ HHVM ãŒå‡¦ç†ã§ãã‚‹ã‚‚ã†ä¸€ã¤ã®è¨€èªž
Facebookã€ãƒ¦ãƒ¼ã‚¶ãƒ¼ç´„70万人ã®ãƒ‹ãƒ¥ãƒ¼ã‚¹ãƒ•ã‚£ãƒ¼ãƒ‰ã‚’æ“作ã—ãŸå®Ÿé¨“çµæžœè«–文を発表
ç±³FacebookãŒç´„70万人ã®ãƒ¦ãƒ¼ã‚¶ãƒ¼ã®ãƒ‹ãƒ¥ãƒ¼ã‚¹ãƒ•ã‚£ãƒ¼ãƒ‰ã«è¡¨ç¤ºã™ã‚‹æŠ•ç¨¿ã‚’実験ã®ãŸã‚ã«æ“作ã—ãŸã“ã¨ãŒã€ç±³å›½ç§‘å¦ã‚¢ã‚«ãƒ‡ãƒŸãƒ¼ã®æ©Ÿé–¢èªŒPNASã§å…¬é–‹ã•ã‚ŒãŸè«–æ–‡ã§æ˜Žã‚‰ã‹ã«ãªã£ãŸã€‚ Facebookã®ãƒ‡ãƒ¼ã‚¿ã‚µã‚¤ã‚¨ãƒ³ãƒ†ã‚£ã‚¹ãƒˆã€ã‚¢ãƒ€ãƒ ・クレイマーæ°ã‚‰3人ã«ã‚ˆã‚‹ã“ã®è«–æ–‡ã¯ã€Œã‚½ãƒ¼ã‚·ãƒ£ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã«ãŠã‘る大è¦æ¨¡æƒ…動感染ã«é–¢ã™ã‚‹å®Ÿé¨“çš„è¨¼æ‹ ï¼ˆExperimental evidence of massive-scale emotional contagion through social networks）ã€ã¨é¡Œã•ã‚Œã€Facebookã®ãƒ‹ãƒ¥ãƒ¼ã‚¹ãƒ•ã‚£ãƒ¼ãƒ‰ã«è¡¨ç¤ºã•ã‚Œã‚‹æŠ•ç¨¿ã®æ„Ÿæƒ…ãŒãƒ¦ãƒ¼ã‚¶ãƒ¼ã®æŠ•ç¨¿ã®æ„Ÿæƒ…ã«å½±éŸ¿ã™ã‚‹ã‹ã©ã†ã‹ã‚’実験ã—ãŸçµæžœãŒã¾ã¨ã‚られã¦ã„る。 ã“ã®å®Ÿé¨“ã§ã€Facebookã¯68万9003人ã®è‹±èªžã‚’使ã†ãƒ¦ãƒ¼ã‚¶ãƒ¼ã‚’抽出ã—ã€ãƒ‹ãƒ¥ãƒ¼ã‚¹ãƒ•ã‚£ãƒ¼ãƒ‰ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚’æ“作ã—ã¦ã€ãƒã‚¸ãƒ†ã‚£ãƒ–ãªè¨€è‘‰ã‚’å«ã‚€æŠ•ç¨¿ã®è¡¨ç¤ºã‚’減らã—ãŸå ´åˆã®ãƒ¦
Facebook: ペタãƒã‚¤ãƒˆã®ãƒ‡ãƒ¼ã‚¿ã«å¯¾å¿œã—ãŸåˆ†æ•£ã‚¯ã‚¨ãƒªã‚¨ãƒ³ã‚¸ãƒ³ã‚’オープンソースã§æä¾› - ワザノム| wazanova.jp
https://www.facebook.com/notes/facebook-engineering/presto-interacting-with-petabytes-of-data-at-facebook/10151786197628920 FacebookãŒã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãƒ–ãƒã‚°ã§ã€ãƒšã‚¿ãƒã‚¤ãƒˆç´šã®ãƒ‡ãƒ¼ã‚¿ã‚’効率よãクエリã™ã‚‹ã‚¨ãƒ³ã‚¸ãƒ³Prestoを紹介ã—ã¦ã„ã¾ã™ã€‚ 1) Background Facebookã¯ä¸–界有数ã®300ペタãƒã‚¤ãƒˆã®ãƒ‡ãƒ¼ã‚¿ã‚¦ã‚§ã‚¢ãƒã‚¦ã‚¹ã‚’ã‚‚ã¡ã€ãã®ãƒ‡ãƒ¼ã‚¿ã¯ãƒãƒƒãƒå‡¦ç†ã€ã‚½ãƒ¼ã‚·ãƒ£ãƒ«ã‚°ãƒ©ãƒ•åˆ†æžã€æ©Ÿæ¢°å¦ç¿’ã€ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ インタラクティブ分æžãªã©æ§˜ã€…ãªç”¨é€”ã«ä½¿ã‚ã‚Œã¦ã„る。 ãã®ãƒ‡ãƒ¼ã‚¿ã¯ã€ã„ãã¤ã‹ã®å¤§ããªHadoop/HDFSベースã®ã‚¯ãƒ©ã‚¹ã‚¿ãƒ¼ã«ã‚る。Hadoop/MapReduce/Hiveã¯ã€å¤§è¦æ¨¡ã§ä¿¡é ¼æ€§ã®é«˜ã„計算処ç†ã€å…¨ä½“システムスループット最é©åŒ–ã¨ã„ã†ç‰¹æ€§ãŒã‚る。ã—ã‹ã—ã€ãƒšã‚¿
Facebook: １兆インデックスã®æŠ•ç¨¿æ¤œç´¢ - ワザノム| wazanova.jp
https://www.facebook.com/notes/facebook-engineering/under-the-hood-building-posts-search/10151755593228920 FacebookãŒã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãƒ–ãƒã‚°ã§ã€ï¼’å¹´é–“ã«æ¸¡ã£ã¦é–‹ç™ºã—ãŸæŠ•ç¨¿æ¤œç´¢æ©Ÿèƒ½ã«ã¤ã„ã¦ç´¹ä»‹ã—ã¦ã„ã¾ã™ã€‚投稿10億件/æ—¥ã€æŠ•ç¨¿ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹1兆件ã§æ•°ç™¾ãƒ†ãƒ©ãƒã‚¤ãƒˆã®ãƒ‡ãƒ¼ã‚¿ã‚’リアルタイム処ç†ã™ã‚‹æ©Ÿèƒ½ã¨ã¯ã™ã”ã„ã§ã™ã。 1) データã®åŽé›† 一番ã®å¤§ããªãƒãƒ£ãƒ¬ãƒ³ã‚¸ã¯ã€ãƒ‡ãƒ¼ã‚¿ã‚¹ã‚ーマã®å¤‰æ›´ã«éƒ½åº¦å¯¾å¿œã—ãªãŒã‚‰ã€æ™‚é–“/å ´æ‰€/タグ（ウォール投稿ã€å†™çœŸã€ãƒã‚§ãƒƒã‚¯ã‚¤ãƒ³ã§ä»•æ§˜ãŒãƒãƒ©ãƒãƒ©ï¼‰ã§ã‚½ãƒ¼ãƒˆã§ãる検索システムを構築ã—ãªã‘ã‚Œã°ã„ã‘ãªã‹ã£ãŸã“ã¨ã€‚Facebookã®ã‚«ãƒ«ãƒãƒ£ãƒ¼ã¨ã—ã¦ã€å¿…è¦ãªã‚‚ã®ã¯ã©ã‚“ã©ã‚“変更ã•ã‚Œã¦ã„ãã®ã ãŒã€æŠ•ç¨¿æ¤œç´¢ã§åˆ©ç”¨ã—ã¦ã„るデータã¯ç´„70種。ãã®å¤šãã¯ã€ç‰¹å®šã®ã‚¿ã‚¤ãƒ—ã®æŠ•ç¨¿ã«ç´ã¥ã„ã¦ã„る。ã‹
ã“ã®ãƒšãƒ¼ã‚¸ã‚’見るã«ã¯ã€ãƒã‚°ã‚¤ãƒ³ã¾ãŸã¯ç™»éŒ²ã—ã¦ãã ã•ã„
Facebookã§æŠ•ç¨¿ã‚„写真ãªã©ã‚’ãƒã‚§ãƒƒã‚¯ã§ãã¾ã™ã€‚
ã¯ã˜ã‚ã®è¨€èªžã®è³žå‘³æœŸé™ - Kato Kazuyoshi
ライブドアブãƒã‚°ã® PSGI 化ã®è©± ã¯è‰¯ã„ã¯ãªã—ã ã¨æ€ã†ã€‚一方ã§ã€ç§ã¯ã‚ã‚“ã¾ã‚Š Perl ãŒå¥½ãã˜ã‚ƒãªã„ã®ã§ã€10å¹´ã«ã‚ãŸã£ã¦ç”Ÿã続ã‘㟠Perl アプリケーションãŒã€æ¬¡ã®10å¹´ã«ã‚€ã‘ã¦ã‚¢ãƒƒãƒ—ã‚’ã¯ã˜ã‚ã¦ã„ã‚‹ã®ã¯ã€ã¡ã‚‡ã£ã¨ã—ãŸãƒ›ãƒ©ãƒ¼ã§ã‚‚ã‚る。 Twitter 㨠Ruby 㨠JVM ライブドアブãƒã‚°ãŒã€å°†æ¥ã«å‘ã‘㦠mod_perl ã‹ã‚‰ PSGI + Starlet ã«ã‹ãˆãŸã‚ˆã†ã«ã€å°†æ¥ã«å‘ã‘ã¦ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã‚’ã‹ãˆã‚‹äººé”ã‚‚å˜åœ¨ã™ã‚‹ã€‚最近ã®äº‹ä¾‹ã§æœ‰åãªã®ã¯ã€Twitter ã® Ruby ã‹ã‚‰ JVM 言語群ã¸ã®ç§»è¡Œã ã‚ã†ã€‚ OSCON Java 2011 ã® Twitter: From Ruby on Rails to the JVM ã§ã¯ã€JVM ã¸ã®ç§»è¡Œã«è‡³ã£ãŸç†ç”±ã¨ã—㦠Ability to handle server workloads A real concurrency
Facebookã«ãŠã‘ã‚‹MySQLを用ã„ãŸå¤§è¦æ¨¡ã‚·ã‚¹ãƒ†ãƒ アーã‚テクãƒãƒ£ã®ç¾å®Ÿï½žMySQL Connect 2013
米オラクルãŒä¸»å‚¬ã™ã‚‹MySQLã®ã‚¤ãƒ™ãƒ³ãƒˆã€ŒMySQL Connectã€ãŒ9月21æ—¥ã‹ã‚‰23æ—¥ã¾ã§ã€ã‚µãƒ³ãƒ•ãƒ©ãƒ³ã‚·ã‚¹ã‚³ã§é–‹å‚¬ã•ã‚Œã¾ã—ãŸã€‚Oracle OpenWorldã€JavaOneã¨ã®åŒæ™‚開催ã§ã—ãŸã€‚ 基調講演ã®1ã¤ã«ã¯ã€MySQLã®ãƒ˜ãƒ“ーユーザーã§ã‚ã‚‹Facebookã®Harrison Fiskæ°ãŒç™»å£‡ã€‚Facebookã«ãŠã‘ã‚‹MySQLã®å½¹å‰²ã€å¤§è¦æ¨¡é‹ç”¨ã®èƒŒæ™¯ãªã©ã‚’紹介ã—ã¦ã„ã¾ã™ã€‚ãã®å†…容をダイジェストã§ç´¹ä»‹ã—ã¾ã—ょã†ã€‚ MySQL@Facebook Lots and lots of small data Harrison Fiskæ°ã€‚ Facebookã§ãƒ‡ãƒ¼ã‚¿ãƒ‘フォーマンスãƒãƒ¼ãƒ ã®ãƒžãƒãƒ¼ã‚¸ãƒ£ã‚’ã—ã¦ã„る。社内ã§ã¯MySQLã¯ã‚‚ã¡ã‚ã‚“ã€HBase Hadoopãªã©ã«ã‚‚é–¢ã‚ã£ã¦ã„る。 ã¾ãšã¯ã€ã©ã‚“ãªç¨®é¡žã®ãƒ‡ãƒ¼ã‚¿ã‚’MySQLã§æ‰±ã£ã¦ã„ã‚‹ã®ã‹ã«ã¤ã„ã¦ã€‚ Facebookã¨ã¯åŸºæœ¬çš„ã«ã‚°ãƒ©ãƒ•ã 。グ
Facebookã«ãƒã‚°ã‚¤ãƒ³
Facebookã«ãƒã‚°ã‚¤ãƒ³ã—ã¦ã€å‹é”や家æ—ã¨å†™çœŸã‚„è¿‘æ³ã‚’シェアã—ã¾ã—ょã†ã€‚
Evan Priestley æ°ãŒã©ã†ã‚„ã£ã¦ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã‚’å¦ã‚“ã ã‹ã‚’æ•™ãˆã¦ãã ã•ã„ - Knoh (ノウ) | The Knowledge Hub
本人ã«ã‚ˆã‚‹å›žç”ã§ã™ã€‚Evan Priestley æ°ã¯çŸ¥ã‚‹äººãžçŸ¥ã‚‹ã€Facebook を代表ã™ã‚‹ (å…ƒ) エンジニアã®ä¸€äººã§ã™ã€‚Facebook ã«ã¯ 2007 å¹´ã‹ã‚‰ 2011 å¹´ã®é–“ã«åœ¨ç±ã—ã¦ã„ã¾ã—ãŸã€‚ 手çŸã‹ã«è¨€ãˆã°: 何年もã®æ³æœˆã®è³œç‰©ã¨ã„ã†ã‹ã€‚ã¼ãã¯ãŸã ã²ãŸã™ã‚‰ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ãŒå¤§å¥½ãã§ã€(フェイスブックã§åƒã„ã¦ã„ãŸ) éŽåŽ»ï¼”å¹´é–“ã€ã»ã¨ã‚“ã©ä»–ã®ã“ã¨ã‚’ã—ã¦ã„ãªã„。ãã®å‰ã‚‚ï¼’.５年ã»ã©ãƒ—ãƒã‚°ãƒ©ãƒžãƒ¼ã¨ã—ã¦åƒã„ã¦ã„ãŸã—ã€ãã®ã•ã‚‰ã«å‰ã‚‚ï¼–å¹´ãらã„趣味ã§ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã‚’ã—ã¦ã„ãŸã€‚ã¼ãã¯é«˜æ ¡ã‚‚大å¦ã‚‚ä¸é€€ã—ã¦ã„ã‚‹ã®ã§ã€ãã‚Œã§ç©ºã„ãŸæ™‚間もプãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã«è²»ã‚„ã—ãŸã€‚ã¤ã„最近フェイスブックを辞ã‚ãŸã‘ã©ã€æœªã ã«èµ·ãã¦ã„る時間ã®ã»ã¨ã‚“ã©ã¯ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã 。 ã‚‚ã£ã¨è©³ã—ã言ãˆã°: 月並ã¿ã ãŒã€ã¼ãã¯ã¡ã£ã¡ã‚ƒã„é ƒã‹ã‚‰ã‚³ãƒ³ãƒ”ューターãŒå¥½ãã§ã€æˆ‘ãŒå®¶ã«ã‚ã£ãŸãƒ¤ãƒ„ã§ï¼ˆæœ€åˆã¯Mac Plusã§é€”ä¸ã‹ã‚‰IIsiã«ãªã£ãŸï¼‰
Facebook has the world's largest Hadoop cluster!
It is not a secret anymore! The Datawarehouse Hadoop cluster at Facebook has become the largest known Hadoop storage cluster in the world. Here are some of the details about this single HDFS cluster:21 PB of storage in a single HDFS cluster2000 machines12 TB per machine (a few machines have 24 TB each)1200 machines with 8 cores each + 800 machines with 16 cores each32 GB of RAM per machine15 map-r
Facebookã€ãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼è‡ªå‹•åŒ–ツールã«Chefã®æ–°ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã‚’å…¨é¢æŽ¡ç”¨ã€Erlangã§ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“リティ拡大。OpscodeãŒç™ºè¡¨
Facebookã€ãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼è‡ªå‹•åŒ–ツールã«Chefã®æ–°ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã‚’å…¨é¢æŽ¡ç”¨ã€Erlangã§ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“リティ拡大。OpscodeãŒç™ºè¡¨ 世界最大級ã®è¦æ¨¡ã®ã‚µãƒ¼ãƒã‚’é‹ç”¨ã—ã¦ã„ã‚‹Facebookã§ã¯ã€ãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼ã«ã‚µãƒ¼ãƒã‚’投入ã—ãŸã‚Šã€æ—¢å˜ã®ã‚µãƒ¼ãƒã®ã‚³ãƒ¼ãƒ‰ã‚’アップデートã™ã‚‹è†¨å¤§ãªä½œæ¥ãŒæ¯Žæ—¥ç™ºç”Ÿã—ã¦ã„ã¾ã™ã€‚特ã«åŒç¤¾ã¯é–‹ç™ºã—ãŸã‚³ãƒ¼ãƒ‰ã‚’ã™ãã«ãƒ‡ãƒ—ãƒã‚¤ã—ã€åˆ©ç”¨è€…ã‹ã‚‰ã®ãƒ•ã‚£ãƒ¼ãƒ‰ãƒãƒƒã‚¯ã‚’迅速ã«é–‹ç™ºã¸åæ˜ ã•ã›ã‚‹DevOpsã¨å‘¼ã°ã‚Œã‚‹ã‚¹ã‚¿ã‚¤ãƒ«ã‚’採用ã—ã¦ã„ã‚‹ã“ã¨ã‹ã‚‰ã€å¤§è¦æ¨¡ã‹ã¤æŸ”軟性ã®é«˜ã„デプãƒã‚¤ãƒ„ールãŒæ¬ ã‹ã›ã¾ã›ã‚“。 ãã“ã§å¿…è¦ãªã®ãŒã“ã†ã—ãŸã‚µãƒ¼ãƒã®ã‚³ãƒ³ãƒ•ã‚£ã‚°ãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ã‚’データセンターè¦æ¨¡ã§è‡ªå‹•åŒ–ã—ã¦ãれるツールã§ã™ã€‚ãã®1ã¤ã¨ã—ã¦ã‚ˆã知られるã®ãŒChef。Rubyã§æ›¸ã‹ã‚Œã¦ãŠã‚Šã€ã‚³ãƒ³ãƒ•ã‚£ã‚°ãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ã®å†…å®¹ã‚„æ‰‹é †ã‚’è¨˜è¿°ã™ã‚‹ãƒ¬ã‚·ãƒ”（Recipe）やクックブック（Cookbook）を用ã„ãŸæŸ”軟ãªãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼è‡ª
ランã‚ング
ランã‚ング
ランã‚ング
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
Facebook London ã«å…¥ç¤¾ã™ã‚‹ã“ã¨ã«ãªã‚Šã¾ã—ãŸ
http://www.vldb.org/pvldb/vol8/p1816-teller.pdf
“Facebook is not worth $33,000,000,000â€
フェイスブックã«2兆円ã§è²·ã‚ã‚ŒãŸç”·ã€€æ³¢ä¹±ã®åŠç”Ÿ - 日本経済新èž
http://sites.computer.org/debull/A12june/facebook.pdf
Nicolas Spiegelberg - Multi-tenant HBase Solutions at Facebook on Vimeo
{{#tags}}- {{label}}
{{/tags}}