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  • 第754回 ownCloud Infinite Scaleを小スケールデプロイする[ローカルデプロイ編] | gihyo.jp

    今回は新たに生まれ変わったownCloudである、ownCloud Infinite Scaleを簡単に使用する方法を紹介します。 ownCloudってなんだっけ ownCloudという名称には、なじみがあるでしょうか。久しぶりに聞いたという場合もあれば、初耳という場合もあるでしょう。 というのも、近年特にUbuntuユーザーにはownCloudはすっかり縁遠いものになっていました。 本連載の過去記事を振り返ると、第231回は『ownCloudで自分専用クラウドストレージ』というタイトルでした。今から10年以上前の記事です。 そこでも説明されていますが、ownCloudは「オープンソースのファイル共有サーバーアプリケーション」です。当時としてはかなりエポックメイキングなものでした。しかしその後Nextcloudとしてフォークされ、Snapパッケージで提供されました。これがまたとても使い勝手

      第754回 ownCloud Infinite Scaleを小スケールデプロイする[ローカルデプロイ編] | gihyo.jp
    • 2.6兆個ものトランジスタを搭載した大型チップ「Wafer Scale Engine 2」をCerebrasが開発

      2021年4月20日、機械学習やディープラーニング専用のチップを製作する企業「Cerebras Systems」が、ウェハーに2.6兆個ものトランジスタを搭載したコンピューターチップ「Wafer Scale Engine 2(WSE2)」を開発したと発表しました。 We’re serving up a record-breaking chip. It contains 2.6 trillion transistors and covers more than 46,225 square millimeters of silicon, about the size of a dinner plate. pic.twitter.com/vg272j5E6A— Cerebras Systems (@CerebrasSystems) Cerebras’ New Monster AI Chip Ad

        2.6兆個ものトランジスタを搭載した大型チップ「Wafer Scale Engine 2」をCerebrasが開発
      • Enforce your AWS Network Firewall protections at scale with AWS Firewall Manager | Amazon Web Services

        AWS Security Blog Enforce your AWS Network Firewall protections at scale with AWS Firewall Manager As you look to manage network security on Amazon Web Services (AWS), there are multiple tools you can use to protect your resources and keep your data safe. Amazon Virtual Private Cloud (Amazon VPC), security groups (SGs), network access control lists (network ACLs), AWS WAF, and the recently launche

          Enforce your AWS Network Firewall protections at scale with AWS Firewall Manager | Amazon Web Services
        • GitHub - openkruise/kruise: Automated management of large-scale applications on Kubernetes (incubating project under CNCF)

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            GitHub - openkruise/kruise: Automated management of large-scale applications on Kubernetes (incubating project under CNCF)
          • Monarch: Google's Planet-Scale In-Memory Time Series Database

            Philosophy We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Learn more about our Philosophy Learn more

            • How does Pokémon Go scale to millions of requests?

              Pokémon Go → https://goo.gle/3mRIO09 Niantic Labs → https://goo.gle/3BDtRoB Anatomy of a BigQuery Query → https://goo.gle/30ioOvU Millions of people are playing Pokémon GO, but did you know it’s built on Google Cloud? In this episode of Architecting with Google Cloud, Priyanka Vergadia speaks with James Prompanya, the Technical Manager at Niantic Labs about Pokémon GO’s architecture and how it sc

                How does Pokémon Go scale to millions of requests?
              • 第二次世界大戦期のアメリカ戦艦(その2):レキシントン 級の懸案のデザイン案追加:未成艦・架空艦満載! - 相州の、ほぼ週刊、1:1250 Scale 艦船模型ブログ

                前回に続いて、今回はアメリカ海軍の第二次世界大戦期の戦艦のお話。 ついでに言っておくと、前回・今回は一種の「まとめ」なので、本稿の長い「読者」の方にとっては(そんな人がいらっしゃるのかどうか、分かりませんが)、基本、新しいお話はあまりありません。一点だけ、あるとすると、「レキシントン級」の懸案だった巨大集合煙突デザイン案に、煙突の高さ修正を行なったデザイン案が追加されています。(そこだけでも見ていって!)その他にも、未成艦、架空艦(とも言い切れないものも)を含め、米戦艦の終末期までご紹介、そういうお話です。 第二次世界大戦期のアメリカ戦艦 少し前回の冒頭部分のおさらいを。 アメリカ海軍は第二次世界大戦に、日本海軍の真珠湾奇襲攻撃以降、参加するわけですが、参戦当時の艦級としては、以下の通りでした。 ワイオミング級:2隻:12インチ砲12門装備(参加緩急の中では唯一の弩級戦艦ですね) ニューヨ

                  第二次世界大戦期のアメリカ戦艦(その2):レキシントン 級の懸案のデザイン案追加:未成艦・架空艦満載! - 相州の、ほぼ週刊、1:1250 Scale 艦船模型ブログ
                • Game theory as an engine for large-scale data analysis

                  Research Game theory as an engine for large-scale data analysis Published 6 May 2021 Authors Brian McWilliams, Ian Gemp, Claire Vernade EigenGame maps out a new approach to solve fundamental ML problems Modern AI systems approach tasks like recognising objects in images and predicting the 3D structure of proteins as a diligent student would prepare for an exam. By training on many example problems

                    Game theory as an engine for large-scale data analysis
                  • GitHub - NVIDIA-Merlin/NVTabular: NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

                    NVTabular is a feature engineering and preprocessing library for tabular data that is designed to easily manipulate terabyte scale datasets and train deep learning (DL) based recommender systems. It provides high-level abstraction to simplify code and accelerates computation on the GPU using the RAPIDS Dask-cuDF library. NVTabular is a component of NVIDIA Merlin, an open source framework for build

                      GitHub - NVIDIA-Merlin/NVTabular: NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
                    • Architecting Vuex store for large-scale Vue.js applications

                      Musthaq Ahamad for Locale.ai Posted on Oct 13, 2019 • Updated on Jan 3, 2020 At the heart of all large-scale Vue.js application lies the store which holds all its data. The Vuex store in a Vue.js application acts as a single source of truth which provides great performance and reactivity out of the box. As your application grows in complexity and code, Vuex stores get easily cluttered and become h

                        Architecting Vuex store for large-scale Vue.js applications
                      • Benchmarking principal component analysis for large-scale single-cell RNA-sequencing - Genome Biology

                        Research Open Access Published: 20 January 2020 Benchmarking principal component analysis for large-scale single-cell RNA-sequencing Koki Tsuyuzaki ORCID: orcid.org/0000-0003-3797-21481,2, Hiroyuki Sato ORCID: orcid.org/0000-0003-1399-81403, Kenta Sato ORCID: orcid.org/0000-0002-6569-55741,4 & Itoshi Nikaido ORCID: orcid.org/0000-0002-7261-25701,5 Genome Biology volume 21, Article number: 9 (2020)

                          Benchmarking principal component analysis for large-scale single-cell RNA-sequencing - Genome Biology
                        • マイクロサービスを支える横断CDKチームの話を知ろう!Construct your constructs: Use AWS CDK to create architecture at scale BWP302 参加レポート #AWSreInvent | DevelopersIO

                          マイクロサービスを支える横断CDKチームの話を知ろう!Construct your constructs: Use AWS CDK to create architecture at scale BWP302 参加レポート #AWSreInvent re:Inventで聞いたAWSのサービス開発においてCrossFunctionalなCDK専門チームを組成した話について書きました。また、本稿はAWS CDK Advent Calendar 2023 14日目の記事です。 はじめに 本稿は、AWS CDK Advent Calendar 2023 14日目の記事です。 re:Invent現地参加組の佐藤智樹です。今回はre:Inventで行われていたセッション「Construct your constructs: Use AWS CDK to create architecture at s

                            マイクロサービスを支える横断CDKチームの話を知ろう!Construct your constructs: Use AWS CDK to create architecture at scale BWP302 参加レポート #AWSreInvent | DevelopersIO
                          • めっちゃ美しいけど危険な刃: Scrum@Scaleガイドを読んで - アジャイルコーチの備忘録

                            はじめに 最近は、アジャイルに造詣が深い若手2人( @tyantya41717651さん、@zakky_devさん )とアジャイルのトピックについて定期的にディスカッションさせていただいています。 そしてそれが個人的には楽しく、かつめちゃめちゃ為になる時間になっています。 先日、大規模アジャイル手法の一つであるScrum@Scaleについてディスカッションしたので、内容を残したいと思い、今回ブログにすることにしました。 今回Scrum@Scaleについて詳しく説明しないため、知りたい方はガイドか素晴らしい要約スライドをお読みください。*1 はじめに エグゼクティブ・アクション・チーム(EAT)について ディスカッションでの意見 HowとWhatの責任やプロセスの明確化について プロダクトオーナーサイクル ディスカッションでの意見 フラクタル構造の美しさと、スケールフリーネットワークについて

                              めっちゃ美しいけど危険な刃: Scrum@Scaleガイドを読んで - アジャイルコーチの備忘録
                            • Background Scale Hover Effect with CSS Clip-path | Codrops

                              A simple recreation of the background scale hover effect seen on the DDD Hotel website using CSS clip-path. Today I’d like to share a simple hover effect with you. It’s a recreation of the hover effect seen in the menu on the DDD Hotel website by Garden Eight. The idea is to scale down the background image and “fitting” it to a clip shape which contains the same background image. The shape is visi

                                Background Scale Hover Effect with CSS Clip-path | Codrops
                              • Data Compression for Large-Scale Streaming Experimentation

                                Julie (Novak) Beckley, Andy Rhines, Jeffrey Wong, Matthew Wardrop, Toby Mao, Martin Tingley Ever wonder why Netflix works so well when you’re streaming at home, on the train, or in a foreign hotel? Behind the scenes, Netflix engineers are constantly striving to improve the quality of your streaming service. The goal is to bring you joy by delivering the content you love quickly and reliably every

                                  Data Compression for Large-Scale Streaming Experimentation
                                • WINTICKET Flutter アプリと Text Scale Factor の闘い | CyberAgent Developers Blog

                                  はじめに 株式会社 WinTicket のアプリチームの@b4tchknです。 競輪とオートレースの投票ができるWINTICKETの Flutter アプリは、使いやすさを意識した UI/UX やレース情報を閲覧し投票を完了するまでの早さを意識したパフォーマンスなど様々な箇所にこだわりを持って開発しました。 今回の記事では、WINTICKET の Flutter アプリで対応した accessibility(a11y) について、特にその中でも特に注力して取り組んだ Text Scale Factor を変更した際のレイアウトの表示崩れに関して紹介します。 別のトピックについてもメンバーがブログを書いていますので、ぜひ御覧ください。 WINTICKET における Flutter を利用したクロスプラットフォームアプリケーションへの取り組み WINTICKET アプリ Flutter リプレ

                                    WINTICKET Flutter アプリと Text Scale Factor の闘い | CyberAgent Developers Blog
                                  • #46 “Technology-Driven, Highly-Scalable Dragonfly Topology”#45 “How to Fight Production Incidents?
 An Empirical Study on a Large-scale Cloud Service”

                                    Technology-Driven, Highly-Scalable Dragonfly Topology ISCA '08 (International Symposium on Computer Architecture) https://dl.acm.org/doi/abs/10.1145/1394608.1382129 https://iscaconf.org/isca2008/

                                      #46 “Technology-Driven, Highly-Scalable Dragonfly Topology”#45 “How to Fight Production Incidents?
 An Empirical Study on a Large-scale Cloud Service”
                                    • React API: Best Practices for Building Large-Scale Applications

                                      This article describes the steps to building a large scale React application. While making a Single Page App with React, it is very easy for your code-base to become unorganized. This makes the app hard to debug and even harder to update or to extend the codebase. There are many good libraries in the React ecosystem that can be used to manage certain aspects of the app, this article covers some of

                                        React API: Best Practices for Building Large-Scale Applications
                                      • Christopher Nolan: "Oppenheimer is one of the most challenging projects I’ve ever taken on in terms of scale"

                                        Christopher Nolan is a master of practical filmmaking: think Tenet’s real 747 sequence, The Dark Knight’s truck flip, or Interstellar’s spacecraft sets with starry exteriors projected outside the windows in place of the standard bluescreen. His upcoming movie, Oppenheimer, about the man who contributed significantly to the creation of the atomic bomb, has afforded the filmmaker more opportunities

                                          Christopher Nolan: "Oppenheimer is one of the most challenging projects I’ve ever taken on in terms of scale"
                                        • Does Laravel Scale? - Fathom Analytics

                                          Does Laravel Scale?technical  Jack Ellis · May 16, 2022In this blog post, I will explore whether you can use Laravel at hyper-scale and whether it could be used to power something like Twitter, Facebook or various other huge applications. What brought me hereWe're all getting tired of the "Does Laravel scale?" questions. Not because people are asking questions but because of the ignorant responses

                                            Does Laravel Scale? - Fathom Analytics
                                          • How Uber Leverages Applied Behavioral Science at Scale

                                            You’re seeing information for Japan . To see local features and services for another location, select a different city. Show more On the Uber Labs team, our mission is to leverage insights and methodologies from behavioral science to build programs and products that are intuitive and enjoyable for customers. Our group of scientists have PhDs in fields including psychology, marketing, and cognitive

                                              How Uber Leverages Applied Behavioral Science at Scale
                                            • GitHub - datafuselabs/databend: 𝗗𝗮𝘁𝗮, 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗔𝗜. Modern alternative to Snowflake. Cost-effective and simple for massive-scale analytics. https://databend.com

                                              Cloud-Native: Integrates with AWS S3, Azure Blob, Google Cloud, and more. High Performance: Rust-built, with cutting-edge, high-speed vectorized execution. 👉 ClickBench. Cost-Effective: Designed for scalable storage and computation, reducing costs while enhancing performance. 👉 TPC-H. AI-Powered Analytics: Enables advanced analytics with AI Functions. Data Simplification: Streamlines data ingest

                                                GitHub - datafuselabs/databend: 𝗗𝗮𝘁𝗮, 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗔𝗜. Modern alternative to Snowflake. Cost-effective and simple for massive-scale analytics. https://databend.com
                                              • Build a modern data architecture and data mesh pattern at scale using AWS Lake Formation tag-based access control | Amazon Web Services

                                                AWS Big Data Blog Build a modern data architecture and data mesh pattern at scale using AWS Lake Formation tag-based access control January 2023: This post was reviewed and updated to use version 3 of the settings for AWS Lake Formation, which allows for cross-account grants with AWS Resource Access Manager. Customers are exploring building a data mesh on their AWS platform using AWS Lake Formatio

                                                  Build a modern data architecture and data mesh pattern at scale using AWS Lake Formation tag-based access control | Amazon Web Services
                                                • Best practices to scale Apache Spark jobs and partition data with AWS Glue | Amazon Web Services

                                                  AWS Big Data Blog Best practices to scale Apache Spark jobs and partition data with AWS Glue July 2022: This post was reviewed for accuracy. February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. AWS Glue provides a serverless environment to prepare (extract and transform) and load large amounts of datasets from a variet

                                                    Best practices to scale Apache Spark jobs and partition data with AWS Glue | Amazon Web Services
                                                  • Amazon EBS addresses the challenge of the CAP Theorem at scale

                                                    Amazon Elastic Block Store (EBS) is a high-performance, cloud-based block storage system designed to work with Amazon Elastic Compute Cloud (EC2). EC2 instances are secure, resizable allotments of computing capacity running in the cloud. EBS allows customers to create high-performance storage volumes and attach them to their EC2 instances. These volumes behave much like local hard drives on your P

                                                      Amazon EBS addresses the challenge of the CAP Theorem at scale
                                                    • 絵文字になっているオブジェクトの本当のサイズを比較できる「Emoji to Scale」

                                                      人の表情やハンドサイン、オブジェクト、動物、建物などを表した絵文字は、SNSやメッセージなどで感情や意図を表すために役立ちます。画面上だと全て同じ大きさに表示されている絵文字ですが、絵文字の元となったものはそれぞれ全く違ったサイズを持っています。そんな画面上だと全て同じ大きさに見える絵文字の「実際の大きさ」を体感できるウェブサイトが、「Emoji to Scale」です。 Emoji to Scale https://javier.xyz/emoji-to-scale/ Emoji to Scaleにアクセスすると、「Mosquito(蚊)/3mm」「Ant(アリ)/3.7mm」「Housefly(イエバエ)/6mm」がそれぞれのサイズ比を保って表示されました。メッセージやSNSの投稿では全て同じサイズで表示されていますが、当然ながら実際のサイズには差があります。 画面を下にスクロールして

                                                        絵文字になっているオブジェクトの本当のサイズを比較できる「Emoji to Scale」
                                                      • Fall Guys 🥔 on Twitter: "Well, you asked for it... This is official lore now Remember: • Human shown for scale • Fall Guys are 183cm (6f… https://t.co/zYzn2u2Mjn"

                                                        Well, you asked for it... This is official lore now Remember: • Human shown for scale • Fall Guys are 183cm (6f… https://t.co/zYzn2u2Mjn

                                                          Fall Guys 🥔 on Twitter: "Well, you asked for it... This is official lore now Remember: • Human shown for scale • Fall Guys are 183cm (6f… https://t.co/zYzn2u2Mjn"
                                                        • The Power of Scale for Parameter-Efficient Prompt Tuning

                                                          In this work, we explore "prompt tuning", a simple yet effective mechanism for learning "soft prompts" to condition frozen language models to perform specific downstream tasks. Unlike the discrete text prompts used by GPT-3, soft prompts are learned through backpropagation and can be tuned to incorporate signal from any number of labeled examples. Our end-to-end learned approach outperforms GPT-3'

                                                          • How to design a system to scale to your first 100 million users

                                                            In order to keep up with emerging techniques, I would like to update you on this story throughout the year.Last updated on 2021 Dec 23

                                                              How to design a system to scale to your first 100 million users
                                                            • Catching the big fish: Analyzing a large-scale phishing-as-a-service operation | Microsoft Security Blog

                                                              In researching phishing attacks, we came across a campaign that used a rather high volume of newly created and unique subdomains—over 300,000 in a single run. This investigation led us down a rabbit hole as we unearthed one of the operations that enabled the campaign: a large-scale phishing-as-a-service operation called BulletProofLink, which sells phishing kits, email templates, hosting, and auto

                                                                Catching the big fish: Analyzing a large-scale phishing-as-a-service operation | Microsoft Security Blog
                                                              • 100+PB scale Unified Hadoop cluster Federation with 2k+ nodes

                                                                Tianyi Wang LINE Data Platform Department Engineer https://linedevday.linecorp.com/jp/2019/sessions/D1-5

                                                                  100+PB scale Unified Hadoop cluster Federation with 2k+ nodes
                                                                • Scrum@Scaleによる組織構造の変遷 - Chatwork Creator's Note

                                                                  こんにちは。id:daiksyです。 昨年の6月に、ChatworkではScrum@Scaleを用いたスケーリングに取り組んでいる、という記事を書きました。 creators-note.chatwork.com 上記の記事では、Scrum@Scaleの簡単な解説と、なぜこの手法を選択したのかについて書きましたが、2021年の4月からはじまった取り組みだったため、記事執筆の時点ではまだ実践をはじめて2ヶ月、という状況でした。 そこから継続的に取り組みを続け、組織構造にいくつかの変遷があったので、9ヶ月間の道のりを今日は書いていこうと思います。 Scrum@Scaleそのものの解説は上記で紹介した記事か、または公式ガイドなどをご参照ください。 scruminc.jp 2021年4月~6月 2021年4月~6月 将来的には複数チームにスケールしていくことを目指していますが、最初期は2チームからの

                                                                    Scrum@Scaleによる組織構造の変遷 - Chatwork Creator's Note
                                                                  • Implementing geohashing at scale in serverless web applications | Amazon Web Services

                                                                    AWS Compute Blog Implementing geohashing at scale in serverless web applications Many web and mobile applications use geospatial data, often with map overlays. This results in dataset queries based upon proximity, for questions such as “How far is the nearest business?” or “How many users are nearby?”. Applications with significant traffic need an efficient way to handle geolocation queries. This

                                                                      Implementing geohashing at scale in serverless web applications | Amazon Web Services
                                                                    • Announcing Grafana Phlare, the open source database for continuous profiling at massive scale | Grafana Labs

                                                                      Solutions All end-to-end solutions Opinionated solutions that help you get there easier and faster

                                                                        Announcing Grafana Phlare, the open source database for continuous profiling at massive scale | Grafana Labs
                                                                      • New – AWS IoT Core for LoRaWAN to Connect, Manage, and Secure LoRaWAN Devices at Scale | Amazon Web Services

                                                                        AWS News Blog New – AWS IoT Core for LoRaWAN to Connect, Manage, and Secure LoRaWAN Devices at Scale Today, I am happy to announce AWS IoT Core for LoRaWAN, a new fully-managed feature that allows AWS IoT Core customers to connect and manage wireless devices that use long-range, low-power wide area network (LoRaWAN) connectivity with the AWS Cloud. Using AWS IoT Core for LoRaWAN, customers can now

                                                                          New – AWS IoT Core for LoRaWAN to Connect, Manage, and Secure LoRaWAN Devices at Scale | Amazon Web Services
                                                                        • 論文紹介 / An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

                                                                          第六回 全日本コンピュータビジョン勉強会 Transformer論文読み会 にて、 "An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale" [Dosovitskiy et al., ICLR 2021] のご紹介をさせていただきました。 ◆イベント詳細 URL: https://kantocv.connpass.com/event/205271/ ◆発表日: 2021/04/18 ◆紹介論文の Open Review の URL: https://openreview.net/forum?id=YicbFdNTTy

                                                                            論文紹介 / An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
                                                                          • GitHub - keroro824/HashingDeepLearning: Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"

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                                                                              GitHub - keroro824/HashingDeepLearning: Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"
                                                                            • Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites

                                                                              Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites Accepted at ACM CSCW 2019 Dark patterns are user interface design choices that benefit an online service by coercing, steering, or deceiving users into making unintended and potentially harmful decisions. We conducted a large-scale study, analyzing ~53K product pages from ~11K shopping websites to characterize and quantify the

                                                                              • Test data quality at scale with Deequ | Amazon Web Services

                                                                                AWS Big Data Blog Test data quality at scale with Deequ March 2023: You can now use AWS Glue Data Quality to measure and manage the quality of your data. AWS Glue Data Quality is built on DeeQu and it offers a simplified user experience for customers who want to this open-source package. Refer to the blog and documentation for additional details. You generally write unit tests for your code, but d

                                                                                  Test data quality at scale with Deequ | Amazon Web Services
                                                                                • AWS Lambda functions now scale up to 12X faster

                                                                                  Starting today, AWS Lambda functions now scale up at a 12x faster rate. With this improvement each function can scale up to a rate of 1,000 concurrent executions every 10 seconds, up to your account concurrency limit. Workloads such as SLA-bound data processing or web applications with request-response patterns require high scalability and are prone to frequent changes in traffic. Previously, Lamb

                                                                                    AWS Lambda functions now scale up to 12X faster