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H_Yamaguchi id:H_Yamaguchi

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ã‚¹ãƒˆãƒªãƒ¼ãƒ ãƒ‡ãƒ¼ã‚¿ã‚’ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ å‡¦ç†ã™ã‚‹ãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ ã€ŒAmazon Kinesisã€ã‚’ç™ºè¡¨ã€‚1æ™‚é–“ã‚ãŸã‚Š5ãƒ‰ãƒ«ã§ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ãªãƒ„ã‚¤ãƒ¼ãƒˆãƒ‡ãƒ¼ã‚¿ã‚’åˆ†æžå¯èƒ½ã€‚AWS re:Invent 2013
ã‚¹ãƒˆãƒªãƒ¼ãƒ ãƒ‡ãƒ¼ã‚¿ã‚’ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ å‡¦ç†ã™ã‚‹ãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ ã€ŒAmazon Kinesisã€ã‚’ç™ºè¡¨ã€‚1æ™‚é–“ã‚ãŸã‚Š5ãƒ‰ãƒ«ã§ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ãªãƒ„ã‚¤ãƒ¼ãƒˆãƒ‡ãƒ¼ã‚¿ã‚’åˆ†æžå¯èƒ½ã€‚AWS re:Invent 2013 Amazon Web ServicesãŒä¸»å‚¬ã™ã‚‹ã‚¤ãƒ™ãƒ³ãƒˆã€ŒAWS re:Invent 2013ã€ã€åŸºèª¿è¬›æ¼”ã®æœ€å¾Œã«ç™ºè¡¨ã•ã‚ŒãŸã®ã¯ã€ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ å‡¦ç†ã‚’è¡Œã†ãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ ã¨ãªã‚‹ã€ŒAmazon Kinesisã€ã§ã—ãŸã€‚ Kinesisã¯ã€å¤§é‡ã«ç™ºç”Ÿã™ã‚‹ãƒªã‚¢ãƒ«ã‚¿ãƒ ãƒ‡ãƒ¼ã‚¿ã‚’æ¼ã‚‰ã•ãšæ°¸ç¶šåŒ–ã—ã€ãã“ã‹ã‚‰å¿…è¦ãªãƒ‡ãƒ¼ã‚¿ã‚’ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã«æµã™ãƒ•ã‚£ãƒ«ã‚¿ã¨ã—ã¦å‹•ä½œã™ã‚‹ã‚ˆã†ã§ã™ã€‚å®Ÿéš›ã®ãƒ‡ãƒ¼ã‚¿å‡¦ç†ã¯ã€Kinesisã‹ã‚‰ãƒ‡ãƒ¼ã‚¿ã‚’å—ã‘å–ã£ãŸã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ãŒè¡Œã„ã¾ã™ã€‚ 2æ—¥ç›®ã®åŸºèª¿è¬›æ¼”ã§æŠ«éœ²ã•ã‚ŒãŸKinesisã®èª¬æ˜Žã‚’ã¾ã¨ã‚ã¾ã—ãŸã€‚ Amazon Kinesisã‚’ç™ºè¡¨ Amazon.com CTO Werner Vogelsæ°ã€‚
H_Yamaguchi 2013/11/18
aws
ãƒªãƒ³ã‚¯
https://jp.techcrunch.com/2013/11/15/20131114amazon-kinesis-a-new-aws-service-to-process-real-data-streams/
H_Yamaguchi 2013/11/15
aws
ãƒªãƒ³ã‚¯
Monitoring and Managing Amazon RDS Databases using MySQL Workbench
H_Yamaguchi 2013/09/25
RDSã®MySQLã®ãƒ‡ãƒ¼ã‚¿ã‚’GUIã®ãƒ„ãƒ¼ãƒ«ã§è¦‹ã‚‹æ–¹æ³•ã€‚ã¤ã¾ã‚Šã¯EC2ã®ã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ä½¿ã£ã¦ãƒˆãƒ³ãƒãƒªãƒ³ã‚°ã—ã‚ã£ã¦ã“ã¨ã§ã™ã‹ãï¼Ÿ

aws

rds
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Capistranoã¯SSHçµŒç”±ã§ãƒªãƒ¢ãƒ¼ãƒˆã‚³ãƒžãƒ³ãƒ‰ã‚’å®Ÿè¡Œã™ã‚‹ãŸã‚ã®ãƒ„ãƒ¼ãƒ«ã§ã€ç«¯æœ«é–“ã§ã®ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã®ãƒ‡ãƒ—ãƒã‚¤ãªã©ã«ä½¿ç”¨ã•ã‚Œã¦ã„ã¾ã™ã€‚Ruby on Railsã®å°é ã¨ã¨ã‚‚ã«çŸ¥ååº¦ã‚’ã‚ã’ã€Railsã®ãƒ‡ãƒ—ãƒã‚¤ãƒ¡ãƒ³ãƒˆã§ã¯å®šç•ªã®ãƒ„ãƒ¼ãƒ«ã«ãªã£ã¦ã„ã¾ã™ã€‚ Capistranoã¯ãã‚Œè‡ªä½“ãŒRubyè£½ã§ã€Rubyã®ãŸã‚ã®ãƒ„ãƒ¼ãƒ«ã®ã‚ˆã†ã§ã™ãŒã€å†’é ã®é€šã‚ŠSSHã§ãƒªãƒ¢ãƒ¼ãƒˆã‚³ãƒžãƒ³ãƒ‰å®Ÿè¡Œã‚’ç®¡ç†ã™ã‚‹ç”¨é€”ã§ã‚ã‚Œã°ã©ã‚“ãªçŠ¶æ³ã§ã‚‚åˆ©ç”¨ã§ãã¾ã™ã€‚ ä»Šå›žè©¦ã—ã¦ã¿ã‚‹ãƒ¦ãƒ¼ã‚¹ã‚±ãƒ¼ã‚¹ã§ã¯ 1å°ã®ç®¡ç†ã‚µãƒ¼ãƒãƒ¼ã‹ã‚‰ï¼’ã¤ã®ã‚µãƒ¼ãƒãƒ¼ä¸Šã«ãƒ•ã‚¡ã‚¤ãƒ«ã‚’ä½œæˆã—ã¦ã¿ã¾ã™ã€‚ ã¾ãšEC2ã§Amazon Linuxã‚’3å°åˆ†ãƒžã‚¤ã‚¯ãƒã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã§èµ·å‹•ã—ã¦ãŠãã¾ã™ã€‚ ã“ã“ã§ã¯ç®¡ç†ã‚µãƒ¼ãƒãƒ¼ã‚’adminã€ãƒªãƒ¢ãƒ¼ãƒˆã®2å°ã‚’hoge1,hoge2ã¨ã—ã€3å°ã«ãã‚Œãžã‚ŒEIPã‚’ä»˜ä¸Žã—ã¾ã™ã€‚ ä»®ã«ãã‚Œãžã‚Œã®EIPã¯ä»¥ä¸‹ã®é€šã‚Šã¨ã—ã¾ã™ã€‚ admin: xxx.xxx.xx
H_Yamaguchi 2013/03/11
aws

rails
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AWS-CloudDesignPattern
What are AWS Cloud Design Patterns? The AWS Cloud Design Patterns (CDP) are a collection of solutions and design ideas for using AWS cloud techno logy to solve common systems design probl ems. To create the CDPs, we reviewed many designs created by various cloud architects, categorized them by the type of probl em they addressed, and then created generic design patterns based on those specific soluti
H_Yamaguchi 2013/03/11
aws
ãƒªãƒ³ã‚¯
[AWS Summit 2012] ã‚¯ãƒ©ã‚¦ãƒ‰ãƒ‡ã‚¶ã‚¤ãƒ³ãƒ‘ã‚¿ãƒ¼ãƒ³#5 CDP ãƒãƒƒãƒå‡¦ç†ç·¨
7. CDPã‚«ãƒ†ã‚´ãƒª (2012.09.13ç¾åœ¨) ï¶ åŸºæœ¬ ï¶ é™çš„ã‚³ãƒ³ãƒ†ãƒ³ãƒ„ã‚’å‡¦ç† ï¶ é‹ç”¨ä¿å®ˆ Snapshot Web Storage Bootstrap Stamp Direct Hosting Cloud DI Private Distribution Stack Deployment Scale Up Cache Distribution Ondemand Disk Server Swapping Rename Distribution Monitoring Integration ï¶ å¯ç”¨æ€§ã‚’å‘ä¸Š Web Storage Archive ï¶ ãƒ‡ãƒ¼ã‚¿ã‚’ã‚¢ãƒƒãƒ—ãƒãƒ¼ãƒ‰ Weighted Transition Multi-Server Write Proxy Hybrid Backup Multi-Datacenter Storage Index Floating IP Direc
H_Yamaguchi 2013/03/11
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Amazon SWFã¤ã‹ã£ã¦ã¿ãŸï¼ˆãªãŒã„ã‚ˆï¼‰
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H_Yamaguchi 2013/02/09
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