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Security @Scale 2014 Recap
nubes 2015/05/29
#velocityconf

facebook

security
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osquery: approaching security the hacker way
osquery was released as an open source product by Facebook in October 2014. It is an instrumentation framework for Ubuntu, CentOS, and OS X. osquery makâ€¦
nubes 2015/05/29
facebook

security

velocity2015
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Facebook Liveãƒžãƒƒãƒ—
nubes 2015/04/04
facebook

presto

video
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http://agilecatcloud.com/2014/12/02/facebook-%E3%81%8C%E8%AA%9E%E3%82%8B%E3%83%A2%E3%83%90%E3%82%A4%E3%83%AB%EF%BD%A5%E3%83%81%E3%83%A5%E3%83%BC%E3%83%8B%E3%83%B3%E3%82%B0%E3%81%AE%E6%A5%B5%E6%84%8F%EF%BC%9A%E3%81%93%E3%82%8C%E3%81%A7/
nubes 2014/12/08
facebook

image

webp
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Osquery
nubes 2014/10/30
SQL ã§ OS å†…ã®æƒ…å ±ã«å•ã„åˆã‚ã›ã§ãã‚‹æ„Ÿã˜ã®ã‚‚ã®...ï¼Ÿ

osquery

facebook

monitoring
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å¤§è¦æ¨¡ç’°å¢ƒã§MySQLã®GTIDã‚’é©ç”¨ã—ã¦å¾—ã‚‰ã‚ŒãŸæ•™è¨“ | Yakst
MySQL 5.6ã‹ã‚‰ã®æ©Ÿèƒ½ã§ã‚ã‚‹GTIDã‚’ã€Facebookã®ç’°å¢ƒã«é©ç”¨ã—ãŸéš›ã®æµã‚Œã¨ä¸»ãªä¸å…·åˆã€ãã—ã¦ãã‚Œã‚‰ã®ä¿®æ£ç‚¹ã«ã¤ã„ã¦ã€Facebookã®ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã«ã‚ˆã‚‹ã¾ã¨ã‚ã€‚ by Evan Elias and Santosh Praneeth Banda Global Transaction ID (GTID)ã¯ã€MySQL 5.6ã®æ–°æ©Ÿèƒ½ã®ä¸ã§ã‚‚æœ€ã‚‚ä½¿ã‚ãšã«ã¯ã„ã‚‰ã‚Œãªã„æ©Ÿèƒ½ã®ä¸€ã¤ã ã€‚ã“ã®ãŠã‹ã’ã§ã€ãƒ•ã‚§ã‚¤ãƒ«ã‚ªãƒ¼ãƒã‚„ãƒã‚¤ãƒ³ãƒˆã‚¤ãƒ³ã‚¿ã‚¤ãƒ ãƒªã‚«ãƒãƒªã€éšŽå±¤ã‚’æŒã£ãŸãƒ¬ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ãªã©ã«éžå¸¸ã«æœ‰ç›Šã ã—ã€ã‚¯ãƒ©ãƒƒã‚·ãƒ¥ã‚»ãƒ¼ãƒ•ãªãƒžãƒ«ãƒã‚¹ãƒ¬ãƒƒãƒ‰ãƒ¬ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã®å¿…é ˆæ¡ä»¶ã«ã‚‚ãªã£ã¦ã„ã‚‹ã€‚ã“ã®æ•°ãƒ¶æœˆã§ã€æˆ‘ã€…ã¯Facebookã®å…¨ã¦ã®æœ¬ç•ªç”¨MySQLã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã§ã€GTIDã‚’æœ‰åŠ¹ã«ã—ãŸã€‚ãã®ä¸ã§ã€ã“ã®æ©Ÿèƒ½ã®é©ç”¨æ–¹æ³•ã‚„æ“ä½œã«ã¤ã„ã¦ã€ãŸãã•ã‚“ã®çŸ¥è¦‹ãŒå¾—ã‚‰ã‚ŒãŸã€‚ãŸãã•ã‚“ã®ã‚µãƒ¼ãƒã‚µã‚¤ãƒ‰ã®ä¿®æ£äº‹é …ã«ã¤ã„ã¦ã¯ã€WebScaleS
nubes 2014/10/27
MySQL

facebook
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ç±³FacebookãŒå¤§è¦æ¨¡memcachedå®Ÿè£…ã®ãŸã‚ã®ã€Œmcrouter 1.0ã€ã‚’ãƒªãƒªãƒ¼ã‚¹ | OSDN Magazine
ç±³Facebookã¯9æœˆ15æ—¥ã€memcachedãƒ—ãƒãƒˆã‚³ãƒ«ç”¨ã®ãƒ«ãƒ¼ãƒ†ã‚£ãƒ³ã‚°ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã€Œmcrouterã€ã‚’ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã¨ã—ã¦å…¬é–‹ã—ãŸã€‚memcachedã‚’ã‚¯ãƒ©ã‚¹ã‚¿åŒ–ã™ã‚‹ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã§ã€å®Ÿã‚µãƒ¼ãƒãƒ¼ã ã‘ã§ãªãAmazon Web Servicesï¼ˆAWSï¼‰ã®ã‚¯ãƒ©ã‚¦ãƒ‰ç’°å¢ƒã§ã‚‚åˆ©ç”¨ã§ãã‚‹ã€‚ mcrouterã¯åŒç¤¾ãŒ2013å¹´ã«ç™ºè¡¨ã—ã¦ã„ã‚‹ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã§ã€memcachedã‚µãƒ¼ãƒãƒ¼ã¨ã‚¯ãƒ©ã‚¤ã‚¢ãƒ³ãƒˆã®é–“ã«çµ„ã¿è¾¼ã‚€ã“ã¨ã§memcachedã‚’ä½¿ã£ãŸåˆ†æ•£ã‚ãƒ£ãƒƒã‚·ãƒ¥ã‚·ã‚¹ãƒ†ãƒ ã‚’æ§‹ç¯‰ã§ãã‚‹ã€‚memchaced ASCIIãƒ—ãƒãƒˆã‚³ãƒ«ã«å¯¾å¿œã—ã€ã‚¯ãƒ©ã‚¤ã‚¢ãƒ³ãƒˆã‹ã‚‰ã®ãƒªã‚¯ã‚¨ã‚¹ãƒˆã«å¯¾ã—ã¦ã¯memcachedã‚µãƒ¼ãƒãƒ¼ã®ã‚ˆã†ã«åå¿œã—ã€ã¾ãŸmemcachedã‚µãƒ¼ãƒãƒ¼å´ã«å¯¾ã—ã¦ã¯memchacedã‚¯ãƒ©ã‚¤ã‚¢ãƒ³ãƒˆã®ã‚ˆã†ã«ã‚¢ã‚¯ã‚»ã‚¹ã™ã‚‹ã€‚ãƒžãƒ«ãƒã‚¯ãƒ©ã‚¹ã‚¿ã‚’ã‚µãƒãƒ¼ãƒˆã—ã€ã‚³ãƒã‚¯ã‚·ãƒ§ãƒ³ãƒ—ãƒ¼ãƒªãƒ³ã‚°ã€ãƒ—ãƒ¬ãƒ•ã‚£ãƒƒã‚¯ã‚¹ãƒ«ãƒ¼ãƒ†ã‚£ãƒ³ã‚°ã€ã‚ªãƒ³ãƒ©ã‚¤
nubes 2014/09/17
memcached

facebook
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Migrating From AWS to FB
When Instagram joined Facebook in 2012, we quickly found numerous integration points with Facebook's infrastructure that allowed us to accelerate our product development and make our community safer. In the beginning, we built these integrations by effectively bouncing through Facebook web services using ad-hoc endpoints. However, we found that this could be cumbersome and it limited our ability t
nubes 2014/06/27
AWS ã‹ã‚‰ Facebook DC ã¸ã®ç§»è¡Œè©±ã€‚

instagram

facebook

aws
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ã“ã®ãƒšãƒ¼ã‚¸ã‚’è¦‹ã‚‹ã«ã¯ã€ãƒã‚°ã‚¤ãƒ³ã¾ãŸã¯ç™»éŒ²ã—ã¦ãã ã•ã„
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nubes 2013/11/16
MySQL

facebook
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Making full table scan 10x faster in InnoDB
At MySQL Connect 2013, I talked about how we used MySQL 5.6 at Facebook, and explained some of new features we added to our Facebook MySQL 5.6 source tree. In this post, I'm going to talk about how we made full table scan faster in InnoDB. Faster full table scan in InnoDB In general, almost all queries from applications are using indexes, and reading very few rows (0..1 on primary key lookups and
nubes 2013/10/20
MySQL

innodb

facebook

performance
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Facebookã«ãŠã‘ã‚‹MySQLã‚’ç”¨ã„ãŸå¤§è¦æ¨¡ã‚·ã‚¹ãƒ†ãƒ ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ã®ç¾å®Ÿï½žMySQL Connect 2013
ç±³ã‚ªãƒ©ã‚¯ãƒ«ãŒä¸»å‚¬ã™ã‚‹MySQLã®ã‚¤ãƒ™ãƒ³ãƒˆã€ŒMySQL Connectã€ãŒ9æœˆ21æ—¥ã‹ã‚‰23æ—¥ã¾ã§ã€ã‚µãƒ³ãƒ•ãƒ©ãƒ³ã‚·ã‚¹ã‚³ã§é–‹å‚¬ã•ã‚Œã¾ã—ãŸã€‚Oracle OpenWorldã€JavaOneã¨ã®åŒæ™‚é–‹å‚¬ã§ã—ãŸã€‚ åŸºèª¿è¬›æ¼”ã®1ã¤ã«ã¯ã€MySQLã®ãƒ˜ãƒ“ãƒ¼ãƒ¦ãƒ¼ã‚¶ãƒ¼ã§ã‚ã‚‹Facebookã®Harrison Fiskæ°ãŒç™»å£‡ã€‚Facebookã«ãŠã‘ã‚‹MySQLã®å½¹å‰²ã€å¤§è¦æ¨¡é‹ç”¨ã®èƒŒæ™¯ãªã©ã‚’ç´¹ä»‹ã—ã¦ã„ã¾ã™ã€‚ãã®å†…å®¹ã‚’ãƒ€ã‚¤ã‚¸ã‚§ã‚¹ãƒˆã§ç´¹ä»‹ã—ã¾ã—ã‚‡ã†ã€‚ MySQL@Facebook Lots and lots of small data Harrison Fiskæ°ã€‚ Facebookã§ãƒ‡ãƒ¼ã‚¿ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ãƒãƒ¼ãƒ ã®ãƒžãƒãƒ¼ã‚¸ãƒ£ã‚’ã—ã¦ã„ã‚‹ã€‚ç¤¾å†…ã§ã¯MySQLã¯ã‚‚ã¡ã‚ã‚“ã€HBase Hadoopãªã©ã«ã‚‚é–¢ã‚ã£ã¦ã„ã‚‹ã€‚ 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 ã€‚ã‚°
nubes 2013/09/27
facebook

MySQL
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ã“ã®ãƒšãƒ¼ã‚¸ã‚’è¦‹ã‚‹ã«ã¯ã€ãƒã‚°ã‚¤ãƒ³ã¾ãŸã¯ç™»éŒ²ã—ã¦ãã ã•ã„
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nubes 2013/07/27
facebook
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Facebook hit git performance issue on large repository | Hacker News
nubes 2013/05/09
git

facebook
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Scaling Memcache at Facebook | USENIX
by Michael Piatek Responsiveness is essential for web services. Speed drives user engagement, which drives revenue. To reduce response latency, modern web services are architected to serve as much as possible from in-memory caches. The structure is familiar: a database is split among servers with caches for scaling reads. Over time, caches tends to accumulate more responsibility in the storage sta
nubes 2013/04/16
facebook

memcached
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ãƒ©ãƒƒã‚¯ã”ã¨ã«ç‰©ç†çš„ã«ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ã‚¿ãƒªã‚½ãƒ¼ã‚¹ã‚’æœ€é©åŒ–ã™ã‚‹Facebookã®æŠ€è¡“ã€ŒDisaggregated Rackã€ã¨ã¯ä½•ã‹ï¼Ÿ
ãƒ©ãƒƒã‚¯ã”ã¨ã«ç‰©ç†çš„ã«ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ã‚¿ãƒªã‚½ãƒ¼ã‚¹ã‚’æœ€é©åŒ–ã™ã‚‹Facebookã®æŠ€è¡“ã€ŒDisaggregated Rackã€ã¨ã¯ä½•ã‹ï¼Ÿ Facebookã¯ã€ãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼ã®ã‚µãƒ¼ãƒæ§‹æˆã‚’ã‚ˆã‚ŠæŸ”è»Ÿã«ã™ã‚‹ãŸã‚ã®æ–°ã—ã„æ‰‹æ³•ã€ŒDisaggregated Rackã€ã‚’ã€1æœˆã«ç±³ã‚µãƒ³ã‚¿ã‚¯ãƒ©ãƒ©ã§é–‹å‚¬ã•ã‚ŒãŸOpen Compute Summit Winter 2013ã§æ˜Žã‚‰ã‹ã«ã—ã¦ã„ã¾ã™ï¼ˆã„ã¾ã«ãªã£ã¦å…¬é–‹ã•ã‚ŒãŸå‹•ç”»ã‚’è¦‹ã¦ã„ãŸã‚‰è¦‹ã¤ã‘ã¾ã—ãŸï¼‰ã€‚ ãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼ã®ã‚µãƒ¼ãƒã‚„ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã‚’åŠ¹çŽ‡çš„ã«åˆ©ç”¨ã™ã‚‹ãŸã‚ã«ã¯ã€ä»®æƒ³åŒ–ã«ã‚ˆã£ã¦ãƒªã‚½ãƒ¼ã‚¹ãƒ—ãƒ¼ãƒ«ã‚’ä½œã‚Šã€ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã«å¿œã˜ã¦ãã‚Œã‚’åˆ‡ã‚Šå‡ºã—ã¦ä½¿ã†æ–¹æ³•ãŒä¸€èˆ¬ã«è€ƒãˆã‚‰ã‚Œã¦ã„ã¾ã™ã€‚ ã—ã‹ã—FacebookãŒæŽ¡ç”¨ã™ã‚‹æ–¹æ³•ã¯ã€CPUã‚„ãƒ¡ãƒ¢ãƒªã‚„ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã‚’ç‰©ç†çš„ãªã‚³ãƒ³ãƒãƒ¼ãƒãƒ³ãƒˆã«ã—ã¦ã€ãã‚Œã‚’ãƒ©ãƒƒã‚¯ã«è¿½åŠ ã—ãŸã‚Šå¼•ãæŠœã„ãŸã‚Šã™ã‚‹ã“ã¨ã§ãƒ©ãƒƒã‚¯ã”ã¨ã®ã‚·ã‚¹ãƒ†ãƒ æ§‹æˆã‚’ç‰©ç†çš„ã«å¤‰ãˆã¦ã—ã¾ãŠã†ã¨ã„ã†æ‰‹æ³•ã§ã™
nubes 2013/04/01
facebook

Datacenter
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Facebook ã®ãƒªãƒªãƒ¼ã‚¹ã¨æ–‡åŒ– - Kato Kazuyoshi
å…¬é–‹ã•ã‚ŒãŸã®ã¯ã‚‚ã†åŽ»å¹´ã®ã¯ãªã—ã ã‘ã©ã€Facebook ã® ãƒªãƒªãƒ¼ã‚¹ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãƒªãƒ³ã‚°ã® Tech Talk (äºˆå‘Šç·¨) ã¯é¢ç™½ã„ã€‚è©±ã—ã¦ã„ã‚‹ Chuck Rossi ã•ã‚“ã¯ Facebook ã®ãƒªãƒªãƒ¼ã‚¹ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãƒªãƒ³ã‚°ãƒãƒ¼ãƒ ã®ãƒªãƒ¼ãƒ€ãƒ¼ã ã€‚ å½¼ã¯ â€œThe business requires change, but change is the root cause of most outages!â€ ã¨è©±ã‚’ã¯ã˜ã‚ã‚‹ã€‚Facebook ã®è¦æ¨¡ã§æ¯Žæ—¥å¤‰æ›´ã‚’ãƒªãƒªãƒ¼ã‚¹ã™ã‚‹ãŸã‚ã«ã€ãƒªãƒªãƒ¼ã‚¹ã®ãƒªã‚¹ã‚¯ã‚’ã§ãã‚‹ã‹ãŽã‚Šæ¸›ã‚‰ã•ãªãã¦ã¯ã„ã‘ãªã„ã€‚ãã®ãŸã‚ã«å‡ºã¦ãã‚‹ã®ãŒã€Œæ–‡åŒ–ã€ã¨ã€Œé“å…·ã€ã ã€‚ ç¾åœ¨ã®ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢é–‹ç™ºã§ã¯é–‹ç™ºè€…ã¨é¡§å®¢ (your mom) ã®é–“ã«è–„ã„ãƒ¬ã‚¤ãƒ¤ãƒ¼ã—ã‹ãªã„: æ˜”ã¯ QA ã¨ã‹ãƒ—ãƒãƒ€ã‚¯ãƒˆãƒžãƒã‚¸ãƒ£ãƒ¼ã¨ã‹ã„ã‚ã„ã‚ã„ãŸã‘ã©ã€ã„ã¾ã¯é•ã†ã€‚ ãƒ–ãƒ©ãƒ³ãƒã¨ãƒªãƒªãƒ¼ã‚¹: é–‹ç™ºè€…ã¯ trunk ã«ã‚³ãƒŸãƒƒãƒˆã™ã‚‹ã€‚æ—¥
nubes 2012/07/25
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deploy
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nubes 2012/04/19
facebook

monitoring
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Facebookã®æ–°ã—ã„ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ è§£æžã‚·ã‚¹ãƒ†ãƒ ã¨ã¯ï¼Ÿ - nokunoã®æ—¥è¨˜
Facebookã®æ–°ã—ã„ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ è§£æžã®ã‚·ã‚¹ãƒ†ãƒ ã§ã¯ã€HBaseã§1æ—¥200å„„ä»¶ã®ã‚¤ãƒ™ãƒ³ãƒˆã‚’å‡¦ç†ã—ã¦ã„ã‚‹ãã†ã§ã™ã€‚ä»¥ä¸‹ã®è¨˜äº‹ã®ç¿»è¨³ã§ã™ã€‚High Scalability - High Scalability - Facebookâ€™s New Realtime Analytics System: HBase to Process 20 Billion Events PerÂ DayFacebookãŒã¾ãŸã‚„ã£ã¦ãã‚ŒãŸã€‚å½¼ã‚‰ã¯å·¨å¤§ãªãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ãƒ‡ãƒ¼ã‚¿ã®ã‚¹ãƒˆãƒªãƒ¼ãƒ ã‚’å‡¦ç†ã™ã‚‹ã‚‚ã†1ã¤ã®ã‚·ã‚¹ãƒ†ãƒ ã‚’æ§‹ç¯‰ã—ãŸã®ã ã€‚ä»¥å‰ã«ã‚‚Facebookã¯ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ãªãƒ¡ãƒƒã‚»ãƒ¼ã‚¸ã‚·ã‚¹ãƒ†ãƒ ã‚’HBaseã§æ§‹ç¯‰ã—ã¦ã„ã‚‹(http://highscalability.com/blog/2010/11/16/facebooks-new-real-time-messaging-system-hbase-to-store-135.ht
nubes 2011/04/11
DataMining

facebook

hbase
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