13 Scalability Best Practices - High Scalability -
AFK Partners has release what they feel are the Best Practices for Scalability: Asynchronous - Use asynchronous communication when possible.Swim Lanes – Create fault isolated “swim lanes†of hardware by customer segmentation.Cache - Make use of cache at multiple layers.Monitoring - Understand your application’s performance from a customer’s perspective.Replication - Replicate databases for recover
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Spring Bootã«ã‚ˆã‚‹APIãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰æ§‹ç¯‰å®Ÿè·µã‚¬ã‚¤ãƒ‰ 第2版 何åƒäººã‚‚ã®é–‹ç™ºè€…ãŒã€InfoQã®ãƒŸãƒ‹ãƒ–ック「Practical Guide to Building an API Back End with Spring Bootã€ã‹ã‚‰ã€Spring Bootを使ã£ãŸREST API構築ã®åŸºç¤Žã‚’å¦ã‚“ã 。ã“ã®æœ¬ã§ã¯ã€å‡ºç‰ˆæ™‚ã«æ–°ã—ãリリースã•ã‚ŒãŸãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã‚ã‚‹ Spring Boot 2 を使用ã—ã¦ã„る。ã—ã‹ã—ã€Spring Boot3ãŒæœ€è¿‘リリースã•ã‚Œã€é‡è¦ãªå¤‰...
The Art of Capacity Plaining | Carpe Diem
昨日ã€ãƒ‘ソナテック10周年記念　PTカンファレンスVol.6 インフラエンジニア討論会2008 ～インフラエンジニア進化論～ã«è¡Œã£ã¦ããŸã€‚自称インフラエンジニアã¨ã—ã¦ã¯ã€ãªã‹ãªã‹åˆºæ¿€ã®ã‚るイベントã§ã‚ã£ãŸãŒã€ãã®ä¸ã§ mizzy ã•ã‚“ãŒã€ŒThe Art of Capacity Plainingã€ã¨ã„ã†æœ¬ã‚’最近èªã‚“ã§ã„ã‚‹ã¨èžã„ãŸã®ã§ã€èª¿ã¹ã¦ã¿ãŸã€‚ ã“ã®æœ¬ã¯ã€Book review ãªã©ã®æƒ…å ±æºãŒãŸãã•ã‚“ã‚ã£ã¦ã€Flickr ã®ã‚ªãƒšãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã® John Allspaw æ°ãŒæ›¸ã„ãŸã„ã‚ゆるサーãƒã®å¢—強計画をã©ã®ã‚ˆã†ã«è¡Œã†ã‹ã«ã¤ã„ã¦æ›¸ã‹ã‚ŒãŸæœ¬ã§ã‚ã‚‹ã¨ã®ã“ã¨ã€‚ 最近ã€ä»•äº‹ã§ã‚‚急ã«ã‚µãƒ¼ãƒã‚’増やã™ã‚ˆã†ã«è¨€ã‚ã‚Œã¦å››è‹¦å…«è‹¦ã—ã¦ã„る僕ã«ã¨ã£ã¦ã¯ã€ã‹ãªã‚Šã‚¿ã‚¤ãƒ リーãªæœ¬ã 。O’Reilly ã§ç´¹ä»‹ã•ã‚Œã¦ã„る記事ã‹ã‚‰å«ã¾ã‚Œã¦ã„るトピックスを訳ã™ã¨ã€æ¬¡ã®ã‚ˆã†ãªå†…容ãŒå«ã¾ã‚Œã¦ã„る。 計測ã€ãƒ‡ãƒ—ãƒã‚¤ãƒ„ールを評
Useful Cloud Computing Blogs - High Scalability -
Update 2: Overcast: Conversations on Cloud Computing. Listened to the first two podcasts and they're doing a great job. Worth a look. The singing and dance routines are way over the top however :-) Update: 9 Sources of Cloud Computing News You May Not Know About by James Urquhart. I folded in these recommendations. Can't get enough cloud computing? Then you must really be a glutton for punishment!
RightScale Product Demonstration | Cloud Computing Management Platform by RightScale
Main navigation Solutions Column 1 Business challenge Software renewals and audits Software license management and optimization SaaS spend management Cloud cost management IT asset lifecycle management CMDB data quality Accurate IT inventory Security and regulatory risk management Sustainable IT AI-powered transformation Public sector Column 2 Spend management by vendor IBM Oracle Microsoft SAP VM
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大è¦æ¨¡ãªã‚µã‚¤ãƒˆã§ã¯ã€ã©ã®ã‚ˆã†ã«Webアプリケーションをスケーラブルã«æ§‹ç¯‰ã—ã¦ã„ã‚‹ã®ã‹ã€‚GREEã®ã‚¢ãƒ—ãƒãƒ¼ãƒã‚’ã€ã‚°ãƒªãƒ¼å–ç· å½¹CTOã«ã—ã¦ã€PHPフレームワークEthna（ãˆã™ãªï¼‰ã®é–‹ç™ºè€…ã§ã‚‚ã‚る藤本真樹æ°ãŒè§£èª¬ã™ã‚‹ã€‚Webアプリケーション開発者必見ã 。 ã¯ã˜ã‚ã« Webサイト構築ã§é¢ç™½ã„ã®ã¯ã€ã¤ã„先日ã¾ã§ã©ã†è¦‹ã¦ã‚‚å°è¦æ¨¡ãªãƒ¦ãƒ¼ã‚¶ãƒ¼ãƒ™ãƒ¼ã‚¹ã§å‹•ä½œã—ã¦ã„ãŸã‚µã‚¤ãƒˆãŒã€çž¬ãé–“ã«æ•°ä¸‡äººã€æ•°å万人ã®ãƒ¦ãƒ¼ã‚¶ãƒ¼ã‚’抱ãˆã‚‹ã“ã¨ã«ãªã£ãŸã‚Šã™ã‚‹*ã“ã¨ã§ã™ã€‚ã¾ãŸã€æœ€åˆã¯å°è¦æ¨¡ã ã£ãŸã‚¢ãƒ—リケーションãŒã€å°‘ã—ãšã¤æ”¹å–„ã—ã¦ã„ãã†ã¡ã«ã€å¤§è¦æ¨¡ãªã‚¢ãƒ—リケーション*ã«ãªã‚‹ã“ã¨ãŒã‚ã‚Šã¾ã™ã€‚本稿ã§ã¯ã€å¾ã€…ã«å¤§ãããªã‚‹Webアプリケーションをスケーラブルã«æ§‹ç¯‰ã™ã‚‹æ–¹æ³•ã‚’説明ã—ã¾ã™ã€‚ 技術ã¯ã‚³ãƒ¢ãƒ‡ã‚£ãƒ†ã‚£åŒ–ã—ã¦ã„ã‚‹ã‘れ㩠Webアプリケーションã®é–‹ç™ºã«æºã‚ã£ã¦ã„ã‚‹æ–¹ã¯ç‰¹ã«å®Ÿæ„Ÿã•ã‚Œã¦ã„ã‚‹ã“ã¨ã¨æ€ã„ã¾ã™ãŒã€ã“ã“æ•°å¹´Webã‹ã„ã‚ã„ã®å‹•ãã¯éžå¸¸ã«é€Ÿ
What's your scalability plan? - High Scalability -
How do you plan to scale your system as you reach predictable milestones? This topic came up in another venue and it reminded me about a great comment an Anonymous wrote a while ago and I wanted to make sure that comment didn't get lost. The Anonymous scaling plan was relatively simple and direct: My two cents on what I'm using to start a website from scratch using a single server for now. Later,
eBay Architecture - High Scalability -
Update 2: EBay's Randy Shoup spills the secrets of how to service hundreds of millions of users and over two billion page views a day in Scalability Best Practices: Lessons from eBay on InfoQ. The practices: Partition by Function, Split Horizontally, Avoid Distributed Transactions, Decouple Functions Asynchronously, Move Processing To Asynchronous Flows, Virtualize At All Levels, Cache Appropriate
Flickr Architecture - High Scalability -
Update: Flickr hits 2 Billion photos served. That's a lot of hamburgers. Flickr is both my favorite bird and the web's leading photo sharing site. Flickr has an amazing challenge, they must handle a vast sea of ever expanding new content, ever increasing legions of users, and a constant stream of new features, all while providing excellent performance. How do they do it? Site: http://www.flickr.co
Scaling Twitter: Making Twitter 10000 Percent Faster - High Scalability -
Update 6: Some interesting changes from Twitter's Evan Weaver: everything in RAM now, database is a backup; peaks at 300 tweets/second; every tweet followed by average 126 people; vector cache of tweet IDs; row cache; fragment cache; page cache; keep separate caches; GC makes Ruby optimization resistant so went with Scala; Thrift and HTTP are used internally; 100s internal requests for every exter
livedoor Techブãƒã‚° : nowaã®ã‚µãƒ¼ãƒæ§‹æˆ
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Amazon Architecture - High Scalability -
This is a wonderfully informative Amazon update based on Joachim Rohde's discovery of an interview with Amazon's CTO. You'll learn about how Amazon organizes their teams around services, the CAP theorem of building scalable systems, how they deploy software, and a lot more. Many new additions from the ACM Queue article have also been included. Amazon grew from a tiny online bookstore to one of the
spiritlooseã®ã¯ã¦ãªãƒ€ã‚¤ã‚¢ãƒªãƒ¼ - MySQL ProxyãŒãŠã‚‚ã—ã‚ãã†
http://forge.mysql.com/wiki/MySQL_Proxy ã»ãƒ¼ãƒ»ãƒ»ãƒ»ãªã‹ãªã‹ãŠã‚‚ã—ã‚ãã†ã€‚ mod_proxy_balancer and mod_rewrite for MySQLã¿ãŸã„ãªã‹ã‚“ã˜ã‹ãªã。 ã¨ã„ã£ã¦ã‚‚ã€tritonn ã¿ãŸã„ã« MySQL ã«çµ„ã¿è¾¼ã‚€ã‚“ã˜ã‚ƒãªãã£ã¦ã€åˆ¥ãƒ—ãƒãƒ€ã‚¯ãƒˆã®ã‚µãƒ¼ãƒã€‚ load balancing fail over ã‚ãŸã‚ŠãŒ mod_proxy_balancer ã£ã½ã㦠Query interception Query rewriting Injecting queries ã‚ãŸã‚ŠãŒ mod_rewrite ã£ã½ã„。 mod_rewrite ã¿ãŸã„ã«æŒ™å‹•ã‚’é¸ã¶(Pã¨ã‹Rã¨ã‹PTã¨ã‹)ã‚“ã˜ã‚ƒãªãã¦ã€ã‚³ã‚¢ã®æŒ™å‹•ã¯ãªãã¦ã€å…¨éƒ¨ RewriteMap prg:/path/to/script ã¿ãŸã„ãªã‚¤ãƒ¡ãƒ¼ã‚¸ã£ã½ã„。 「--proxy-lu
Home - Fixstars Corporation
Speed up your Business Fixstars Software acceleration service By utilizing optimization as well as parallel processing technology to optimize applications, we provide professional services to realize massive calculation processing in a shorter time. Learn more About us Fixstars is a group of high-speed solutions experts who maximize computer performance to speed up the processing of large volumes
Scaling Facebook, Hi5 with memcached (Skrentablog)
From a discussion board thread pointed to by programming.reddit, a nifty discussion of high volume sites Facebook, Hi5 and others who are using memcached as a critical scaling tool: From: Steve Grimm <... facebook.com> Subject: Re: Largest production memcached install? No clue if we're the largest installation, but Facebook has roughly 200 dedicated memcached servers in its production environment,
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Scaling Using Cache Farms and Read Pooling - High Scalability -
void GraphicWizardsLair( void ); // ニコニコ動画勉強会ã®PowerPointスライドãŒWebã§å…¬é–‹ã•ã‚Œã¦ã„ãŸ
LiveJournal: Begind The Scenes / Scaling Storytime
Scaling Twitter » SlideShare
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