bazelというビルドツールとScala - xuwei-k's blog
https://github.com/bazelbuild/rules_scala/ bazelというのは、google先生が作ってOSSにしたビルドツールらしいです(詳細は知らないので各自ぐぐって・・・) さて、bazelbuild/rules_scalaのリポジトリですが、最初のコミットは2015年9月くらいのようですが、ここ2週間くらのコミットが結構盛んで、なおかつ中心になってコミットしてるのが、2ヶ月くらい前に以下の記事で紹介した元twitterの人( @ johnynek さん)、というのが面白いですね。 最近の海外Scala界隈 そもそもbazelに全然詳しくないので、以下は雑な感想というか想像でしかないですが、 なぜ「面白い」かというと、twitterといえば(bazelとある程度似たような？) pants というビルドツール作ってOSSにして、今や、わりとtwitter以外
Bazel with Tony Aiuto | Google Cloud Platform Podcast
Happy Halloween! On this not-so-spooky episode of the Google Cloud Podcast, Melanie and Mark talk with Tony Aiuto of Bazel. Bazel grew from Google’s internal build system, Blaze, to become the open source Bazel that it is today. The aim of the project is to quickly make very large builds across multiple languages. Tony Aiuto Tony is the tech-lead/manager for Bazel Product Excellence. He works on r
Build systems a la carte - Microsoft Research
Build systems are awesome, terrifying — and unloved. They are used by every developer around the world, but are rarely the object of study. In this paper we offer a systematic, and executable, framework for developing and comparing build systems, viewing them as related points in landscape rather than as isolated phenomena. By teasing apart existing build systems, we can recombine their components
[新発表] Amazon EFS に低頻度アクセス IA ストレージクラスが発表されました #reinvent ｜ DevelopersIO
こんにちは、菊池です。 今年も始まりました！AWS re:Invent 2018！イベント本番を前に、続々と新発表が出てきています。 EFS 低頻度アクセスストレージ 今年、ようやく東京リージョンで利用可能になった共有ストレージサービス、EFSに新しいストレージクラスである、低頻度アクセス（Infrequent Access：IA）が登場することが発表されました。 Coming Soon – Amazon EFS Infrequent Access Storage Class EFS IAを使用することで、毎日アクセスするようなデータではないケースにおいて、通常のEFSと比較し最大85%のコスト削減が可能になるようです。 また。ライスサイクルポリシーを設定することで、30日間アクセスされていないファイルを標準ストレージクラスからEFS IAに移行し、自動的にコスト低減が可能になるとのことで
![[新発表] Amazon EFS に低頻度アクセス IA ストレージクラスが発表されました #reinvent ｜ DevelopersIO](https://cdn-ak-scissors.b.st-hatena.com/image/square/69d5e5df38c6d27d133baa3f894a2379a68db070/height=288;version=1;width=512/https%3A%2F%2Fdevio2023-media.developers.io%2Fwp-content%2Fuploads%2F2018%2F11%2Feyecatch_reinvent-2018-city_1200x630.jpeg)
Hiroshima
A hundred thousand people were killed by the atomic bomb. Survivors wonder why they lived when so many others died.Photograph from Rolls Press / Popperfoto / Getty I—A Noiseless FlashAt exactly fifteen minutes past eight in the morning, on August 6, 1945, Japanese time, at the moment when the atomic bomb flashed above Hiroshima, Miss Toshiko Sasaki, a clerk in the personnel department of the East
[レポート]AWSのモダンアプリケーションに対するカオスエンジニアリング #reinvent #CON310 | DevelopersIO
本記事はre:Invent 2018のセッション「CON310 - Breaking Containers: Chaos Engineering for Modern Applications on AWS」のレポートです。 概要 You may have heard of the buzzwords “chaos engineering” and “containers.” But what do they have to do with each other? In this session, we introduce chaos engineering and share a live demo of how to practice chaos engineering principles on AWS. We walk through chaos engineering pract
Scaling Git at Twitter, Wilhelm Bierbaum - Git Merge 2015
We’ll discuss our experience running a very large Git repository with the many projects and contributors, discuss the pros and cons of large repositories, introduce some enhancements we are testing to improve fetch performance through journaled replication, and cover some other optimizations we are pursuing.
Gregory Szorc's Digital Home | On Monolithic Repositories
When companies or organizations deploy version control, they have to make many choices. One of them is how many repositories to create. Your choices are essentially a) a single, monolithic repository that holds everything b) many separate, smaller repositories that hold all the individual parts c) something in between. The prevailing convention today (especially in the open source realm) is to cre
Gregory Szorc's Digital Home | Notes from Facebook's Developer Infrastructure at Scale F8 Talk
Any time Facebook talks about technical matters I tend to listen. They have a track record of demonstrating engineering leadership in several spaces. And, unlike many companies that just talk, Facebook often gives others access to those ideas via source code and healthy open source projects. It's rare to see a company operating on the frontier of the computing field provide so much insight into th
Advantages of monorepos
Here's a conversation I keep having: Someone: Did you hear that Facebook/Google uses a giant monorepo? WTF! Me: Yeah! It's really convenient, don't you think? Someone: That's THE MOST RIDICULOUS THING I've ever heard. Don't FB and Google know what a terrible idea it is to put all your code in a single repo? Me: I think engineers at FB and Google are probably familiar with using smaller repos (does
ファッション業界のデータサイエンティストの役割㊤ | 繊研新聞
「カワイイ」可視化し潜在要望を発見 SNSの浸透などで消費が多様化と細分化を続けるなか、企業が精度高く施策を打つためには、データの分析と活用がますます重要になっている。一方でデータは氾濫（はんらん）と呼べるまでに膨大で、ただ並べて見るだけでは課題解決にならない。 そこで、データを法則化し、打つべき施策を明確化するデータサイエンティスト（DS）の存在がファッション業界でも注目され始めた。ITを駆使して統計解析やデータマイニング（パターンや事実の採掘）ができる能力に、ビジネスや市場トレンドなどにも精通している必要がある。ファッション企業に勤めるデータサイエンティストに役割の重要性を聞いた。 （疋田優） TSIホールディングス事業戦略本部マーケティング室長渡井裕司さん TSIホールディングスの渡井裕司事業戦略本部マーケティング室長は、DSとアナリストを兼ねた存在。ニールセンカンパニーでアナリスト
Andrew Ng on Building a Career in Machine Learning - YouTube
Title: Break Into AI: A Q&A with Andrew Ng on Building a Career in Machine Learning Speaker: Andrew Ng Date: 12/4/2018 Abstract Andrew Ng will share tips and tricks on how to break into AI. He will discuss some of the most valuable skills for today's machine learning engineers, how to gain the experience to successfully switch careers, and how to build a habit of lifelong learning. He will also t
How we develop great PM / Engineering relationships at Asana
A healthy relationship between PM and Engineering is critical to build successful products. It’s also essential in creating a team where great people want to work. When it goes well, we’re two partners working shoulder to shoulder towards a shared mission. Each is grateful for the contribution of the other. When it goes badly, there’s finger pointing, ignored input, wasted work, frustrating proces
7d67242675e2
by Brian Chambers, Caleb Hurd, Sean Drucker, Alex Crane, Morgan McEntire, Jamie Roberts, and Laura Jauch (the Chick-fil-A IOT/Edge team) In a recent post, we shared about how we do bare metal clustering for Kubernetes on-the-fly at the Edge in our restaurants. One of the most common (and best) questions we got was “but why?”. In the post we will answer that question. If you are interested in more
Nez project
Nez : Open Grammar Language and tools Nez is an open grammar specification language based on parsing expression grammars (PEGs). Once you write a grammar for complex data or computer languages, you can use it anywhere for various purposes including pattern matchers, transformers, interpreters, compilers and other language tools. Features Nez is a PEG-based parsing library and parser generator tool
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https://www.tweag.io/posts/2018-03-15-bazel-nix.html/
SF Scala: Oscar Boykin, Reproducible Machine Learning with Functional Programming - YouTube
Tensorflow with Bazel — Lessons Learned - YouTube
BazelCon 2017 - YouTube
Accelerate your Build and Test with Google Cloud Platform (Cloud Next '18) - YouTube
BazelCon 2018 - YouTube
GitHub - bazeltools/bazel_jar_jar: JarJar rules for bazel (rename packages and classes in existing jars)
GitHub - johnynek/bosatsu: A python-ish pure and total functional programming language
GitHub - bazelbuild/proposals: Index of all Bazel proposals and design documents
GitHub - bazelbuild/vim-bazel: Vim support for Bazel
The Best Books of 2018 | The New Yorker
F8 2015 - Big Code: Developer Infrastructure at Facebook's Scale - YouTube
Facebook for Developers - Big Code: Developer Infrastructure at Facebook's Scale | Facebook
Large-Scale Automated Refactoring Using ClangMR
GitHub - jin/awesome-bazel: A curated list of Bazel rules, tooling and resources.
Data Engineering, Big Data, and Machine Learning on GCP
Customer Analytics | Coursera
Achieving Advanced Insights with BigQuery | Coursera
From Data to Insights with Google Cloud
REALBBQ MARKET / 【千駄ヶ谷店利用者必見!】オススメワインショップ『THE GRAPES』
The macOS installation couldn't be comple… - Apple Community
Mac (10.13.4 High Sierra)を再起動したら「The macOS installation coudn’t be completed」ダイアログが表示され使えなくなってしまった場合の対処法
Canada Goose’s Cold Room was the best retail experience of the year
Okta - Powering your Cloud Area Network
Safely Deploy AWS Lambdas with CloudFormation – Nike Engineering – Medium
Why Engineers Should Be Invested In Their Product – Nike Engineering – Medium
Site Reliability Engineering at Chick-fil-A – Chick-fil-A Tech Blog – Medium
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Machine Learning | Coursera
[PDF] Parsing Expression Grammars: A Recognition-Based Syntactic Foundation