A language empowering everyone to build reliable and efficient software. Performance Rust is blazingly fast and memory-efficient: with no runtime or garbage collector, it can power performance-critical services, run on embedded devices, and easily integrate with other languages. Reliability Rust’s rich type system and ownership model guarantee memory-safety and thread-safety — enabling you to elim

ついでにもうひとつ、AtomikosのCTOであるGuy Pardon氏のブログから。こちらも誤訳もいっぱいあると思うが、参考までに公開しておく。 Guy's Blog Sunday, September 07, 2008 CAPの解決策（Brewerが間違っているって証明しよう） コンピューターサイエンスの最新の挑戦のうちのひとつは、CAP定理だろう。それは、大規模でクラスタ化された（ウェブ）サービスのアーキテクチャを構築するにあたって、明らかに不可能なことについて述べている。それが（おそらく）真実だと証明されたという事実があるので、私がここで書くつもりことは、ほとんどありえないことになってしまう。そうだしても、読んでほしい。というのも、私が正しくて、最終的にはCAPが不可能でないことを証明するつもりなのだから...。CAPの不可能性の証明は数学的には正しいけれど、それはあまりに厳しすぎ

Fluentd is an open source data collector designed for log aggregation and processing. It has a pluggable architecture that allows for flexible input, filtering, and output of log data. It is useful for log collection, processing, and forwarding to storage or analysis services in real-time.Read less

Learning to Order BDD Variables in Verification Orna Grumberg Shlomi Livne Shaul Markovitch Computer Science Department Technion - Israel Institute of Technology Haifa 32000, Israel Abstract The size and complexity of software and hardware systems have significantly increased in the past years. As a result, it is harder to guarantee their correct behavior. One of the most successful methods for au

1. DO NOT USE PUBLICLY PRIOR TO 10/23/12 なぜApache HBaseを選ぶのか? Headline Goes Here Jonathan Hsieh | @jmhsieh Speaker Name or Subhead Goes Here SoHware Engineer at Cloudera | HBase PMC Member November 7th, 2013, Cloudera World Japan 2013 2. 自己紹介 •  Cloudera: •  ソフトウェアエンジニア •  Tech Lead HBase Team •  Apache HBase commiRer / PMC •  Apache Flume founder / PMC •  ワシントン大学: •  分散システムの研究 2 11/7/13 Cloudera

The document discusses Spark internals and provides an overview of key components such as the Spark code base size and growth over time, core developers, Scala basics used in Spark, RDDs, tasks, caching/block management, and schedulers for running Spark on clusters including Mesos and YARN. It also includes tips for using IntelliJ IDEA to work with Spark's Scala code base.Read less

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2. © 2014 MapR Technologies 2 About MapR and Databricks • Project leads for Spark, formerly with UC Berkeley’s AMPLab • Founded in June 2013 and backed by Andreessen Horowitz • Strong Engineering focus * Forrester Wave Big Data Hadoop Solutions, Q1 2014 • Top Ranked distribution for Hadoop* • Hundreds of deployments – 17 of Fortune 100 – Largest deployment in FSI (1000+ nodes) • Strong focus on ma

Haskell で使われているパッケージ管理システムは Cabal といいます。Haskell のライブラリは小さく、更新が速いので、依存関係地獄(dep hell)が発生しやすいです。これは Haskell に限った問題ではありませんが、Haskell では表面化しやすいということです。これを解決するプロジェクトの話。