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hiroyukim id:hiroyukim

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åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã«ã¤ã„ã¦èªžã‚‹ã¨ãã«æˆ‘ã€…ã®èªžã‚‹ã“ã¨ â€• åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã«ã¾ã¤ã‚ã‚‹é‡è¦ãªæ¦‚å¿µã«ã¤ã„ã¦ | POSTD
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hiroyukim 2016/01/22
Distributed

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Home
Get Started Learn how to build concurrent, distributed programs with Cloud Haskell Learn more Cloud Haskell: Erlang-style concurrent and distributed programming in Haskell. The Cloud Haskell Platform consists of a generic network transport API, libraries for sending static closures to remote nodes, a rich API for distributed programming and a set of platform libraries modelled after Erlangâ€™s Open
hiroyukim 2015/07/04
Distributed

platform

haskell

CloudHaskell
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Concurrent and Distributed Applications with Akka, Java and Scala
Concurrent and Distributed Applications with Akka, Java and Scala AI-enhanced description The document discusses concurrency and distribution in applications using Akka, Java and Scala. It covers key concepts like actors, messages and message passing in Akka. It describes how actors encapsulate state and behavior, communicate asynchronously via message passing and provide built-in concurrency witho
hiroyukim 2014/12/05
akka

actor

Distributed

concurrent
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Redisã‚„Memcachedã¨ã„ã£ãŸã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¯éžå¸¸ã«é«˜é€Ÿã«ãƒ¬ã‚¹ãƒãƒ³ã‚¹ã‚’è¿”ã—ã¦ãã‚Œã‚‹ãƒ‡ãƒ¼ã‚¿ã‚¹ãƒˆã‚¢ã§ã™ãŒã€ãã‚Œå˜ä½“ã§ã¯ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“ãƒªãƒ†ã‚£ã‚„å¯ç”¨æ€§ãªã©ã«é™ç•ŒãŒã‚ã‚Šã¾ã™ã€‚ The Netflix Tech Blog: Introducing Dynomite - Making Non-Distributed Databases, Distributed NetflixãŒã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã§å…¬é–‹ã—ãŸã€ŒDynomiteã€ï¼ˆãƒ€ã‚¤ãƒŠãƒžã‚¤ãƒˆã¨ã¯ç¶´ã‚ŠãŒé•ã†ã®ã«æ³¨æ„ï¼‰ã¯ã€ã“ã†ã—ãŸãƒ‡ãƒ¼ã‚¿ã‚¹ãƒˆã‚¢ã‚’åˆ†æ•£ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹åŒ–ã—ã€é«˜é€Ÿãªãƒ‡ãƒ¼ã‚¿ã‚¹ãƒˆã‚¢ã®ç‰¹é•·ã‚’æ´»ã‹ã—ã¤ã¤é«˜ã„ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“ãƒªãƒ†ã‚£ã‚„å¯ç”¨æ€§ã‚’å®Ÿç¾ã™ã‚‹ãŸã‚ã®ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã§ã™ã€‚ ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³å´ã§ã‚·ãƒ£ãƒ¼ãƒ‡ã‚£ãƒ³ã‚°ã®ã‚ˆã†ãªé¢å€’ãªãƒ‡ãƒ¼ã‚¿æ§‹é€ ã‚’è¨å®šã™ã‚‹ã“ã¨ãªãã€Redisã‚„Memcachedã‚’ãƒŽãƒ¼ãƒ‰ã¨ã—ã€Cassandraã‚„Amazonã‚¯ãƒ©ã‚¦ãƒ‰ã®DynamoDBã®ã‚ˆã†ãªå¤§è¦
hiroyukim 2014/11/07
Distributed

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db
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Zipkin, from Twitter
Zipkin is a distributed tracing system that helps us gather timing data for all the disparate services at Twitter. It manages both the collection and lookup of this data through a Collector and a Query service. We closely modelled Zipkin after the Google Dapper paper. Follow @ZipkinProject for updates. Why distributed tracing? Collecting traces helps developers gain deeper knowledge about how cer
hiroyukim 2014/09/06
Distributed

twitter

monitoring

scale
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GitHub - openzipkin/zipkin: Zipkin is a distributed tracing system
Zipkin is a distributed tracing system. It helps gather timing data needed to troubleshoot latency probl ems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized
hiroyukim 2014/09/06
scala

Distributed

twitter

monitoring
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Home - Ceph Wiki
On June 2021, weâ€™re hosting a month of Ceph presentations, lightning talks, and unconference sessions such as BOFs
hiroyukim 2014/05/01
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network

development

Distributed

filesystem

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