Dremel: A Decade of Interactive SQL Analysis at Web Scale
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
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
Executing Cron Scripts Reliably At Scale - Slack Engineering
Cron scripts are responsible for critical Slack functionality. They ensure reminders execute on time, email notifications are sent, and databases are cleaned up, among other things. Over the years, both the number of cron scripts and the amount of data these scripts process have increased. While generally these cron scripts executed as expected, over time the reliability of their execution has occ
今回は、夏休みの工作特集、です。 特設空母「安松丸」 の製作 特設空母「安松丸」と聞いて、ピンと来た方、いろいろな意味で、「かなりなもん」です。 特設空母「安松丸」を知っていますか？ 特設空母「安松丸」は、元々は日本陸軍が上陸支援母艦とする目的で徴用した7000トン級の高速貨物船「安松丸」で、この船を母体として改装を始めるのですが、飛行甲板を張ったところで、貨物船としては「高速」ながらも、空母としては当時の主力航空機の発着艦に実用性を欠く低速（15ノット）と飛行甲板の短さ（130メートル）、さらに改装に伴う重心の不安定さに改めて課題を感じた陸軍は工事を中断、改装を放棄した状態で長らく埠頭に繋がれていました。 その後、ともかく航空主兵への戦備整備を急ぐ海軍が埠頭に繋がれたままの半完成状態に着目。陸軍から譲渡された後、ともかくも改装工事を完了させ特設空母として完成させました。改装後は、旧式駆逐
Approximate Vector Search at Scale, With Application to Image Search - SciPY JP 2020
Mercari provides an image search feature, which makes it possible for users to find similar items by image. This talk describes how we implemented similar image search over 100s of millions of images, in a way that is accurate. We will also highlight the techniques we used to keep the system efficient and update to date.Read less
Which color scale to use when visualizing data - Datawrapper Blog
This is part 1 of a series on “Which color scale to use when visualizing data” (Part 2 / Part 3 / Part 4). If you already have a good understanding of color scales, skip to the end of this article, “It’s not as clear-cut as it seems”. When visualizing data, you’re almost always working with color – e.g., with different hues (red, yellow, blue) for categories or color gradients (light blue, medium
DigitalOcean App Platform | Build, Deploy and Scale Apps Quickly
Featured Articles Cloud cost optimization best practices Read moreHow to choose a cloud provider Read moreUnderstanding cash flow vs. profit Read more
Capturing logs at scale with Fluent Bit and Amazon EKS | Amazon Web Services
Containers Capturing logs at scale with Fluent Bit and Amazon EKS Earlier this year, AWS support engineers noticed an uptick in customers experiencing Kubernetes API server slowness with their Amazon Elastic Kubernetes Service (Amazon EKS) clusters. Seasoned Kubernetes users know that a slow Kubernetes API server is often indicative of a large, overloaded cluster or a malfunctioning controller. On
Pivotal Greenplum 6, Now GA, Uses PostgreSQL to Reimagine Modern Analytics at Scale
Pivotal GreenplumⓇ 6 is now generally available. Check out the docs, then download it from Pivotal Network. Over the past 16 years, Greenplum has helped enterprises analyze data more effectively. These firms use Greenplum to increase revenue, decrease cost, and add across-the-board efficiencies to their operations. That’s the power of a scale-out high-performance analytics data warehouse! PostgreS
Network Address Management and Auditing at Scale with Amazon VPC IP Address Manager | Amazon Web Services
AWS News Blog Network Address Management and Auditing at Scale with Amazon VPC IP Address Manager Managing, monitoring, and auditing IP address allocation for at-scale networks, as the growth in cloud workloads and connected devices continues at a rapid pace, is a complex, time-consuming, and potentially error-prone task. Traditionally, network administrators have resorted to using combinations of
Ukraine dam: Maps and before and after images reveal scale of disaster
Satellite images reveal the full extent of the devastation caused by the collapse of the Kakhovka dam.
Announcing new Jupyter contributions by AWS to democratize generative AI and scale ML workloads | Amazon Web Services
AWS Machine Learning Blog Announcing new Jupyter contributions by AWS to democratize generative AI and scale ML workloads Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. The Jupyter Notebook, first released in 2011, has become a de facto standard tool used by millions
Terraform Cloud Adds ‘Projects’ to Organize Workspaces at Scale
We are excited to announce the release of a new organizational structure called projects, now generally available for Terraform Cloud. Projects help users organize and centrally manage their workspaces at scale while providing more granular permissions to a subset of workspaces. This post discusses why we changed the way Terraform Cloud workspaces are organized and reviews the details of the new f
Linearly Scale font-size with CSS clamp() Based on the Viewport | CSS-Tricks
Linearly Scale font-size with CSS clamp() Based on the Viewport Responsive typography has been tried in the past with a slew of methods such as media queries and CSS calc(). Here, we’re going to explore a different way to linearly scale text between a set of minimum and maximum sizes as the viewport’s width increases, with the intent of making its behavior at different screen sizes more predictabl
Spring Batch on Kubernetes: Efficient batch processing at scale Introduction Batch processing has been a challenging area of computer science since its inception in the early days of punch cards and magnetic tapes. Nowadays, the modern cloud computing era comes with a whole new set of challenges for how to develop and operate batch workload efficiently in a cloud environment. In this blog post, I
Google Cloud launches Filestore High Scale, a new storage tier for high-performance computing workloads | TechCrunch
Enterprise Google Cloud launches Filestore High Scale, a new storage tier for high-performance computing workloads Google Cloud today announced the launch of Filestore High Scale, a new storage option — and tier of Google’s existing Filestore service — for workloads that can benefit from access to a distributed high-performance storage option. With Filestore High Scale, which is based on technolog
Exclusive—U.S. Warns Ukraine of Full-Scale Russian Invasion Within 48 Hours
Exclusive: U.S. Warns Ukraine of Full-Scale Russian Invasion Within 48 Hours Published Feb 23, 2022 at 9:35 AM EST Updated Feb 24, 2022 at 12:27 PM EST President Joe Biden's administration has informed Ukrainian President Volodymyr Zelenskyy of intelligence assessing that Russia is preparing to conduct a full-scale invasion of the neighboring country within the next 48 hours, U.S. intelligence off
【Stable Diffusion】CFG Scaleを上げても画像が破綻しなくなる拡張機能「sd-dynamic-thresholding」の紹介！
こんにちは！悠です！ 今回は「Stable Diffusion」で、CFG Scaleをデフォルトの7より上げても画像が破綻しにくくなる拡張機能「sd-dynamic-thresholding（CFG Scale Fix）」を紹介していきます。 この拡張機能との併用が推奨されている、「Flat-2D Animerge」というモデルデータを例にしながら使い方をまとめていきますね！
Adopting Sorbet at Scale
Opens in a new windowOpens an external siteOpens an external site in a new window On November 25, 2020 we held ShipIt! Presents: The State of Ruby Static Typing at Shopify. The video of the event is now available. Shopify changes a lot. We merge around 400 commits to the main branch daily and deploy a new version or our monolith 40 times a day. Shopify is also big: 37,000 Ruby files, 622,000 metho
RecSysOps: Best Practices for Operating a Large-Scale Recommender System
Operating a large-scale recommendation system is a complex undertaking: it requires high availability and throughput, involves many services and teams, and the environment of the recommender system changes every second. For example, new members or new items may come to the service at any time. New code and new ML models get deployed to production frequently. One question we need to address at Netf
マルチパスQUICのdraft-ma-quic-mpqoe とその論文 XLINK: QoE-Driven Multi-Path QUIC Transport in Large-scale Video Services を読んだ。 - momokaのブログ
Alibabaによって書かれたマルチパスQUICの論文 https://dl.acm.org/doi/10.1145/3452296.3472893 マルチパスQUICの実装はdraft-liu-multipath-quicに datatracker.ietf.org XLink固有の実装部分について5月に提出されたdraft draft-ma-quic-mpqoe www.ietf.org 本論文が解決したいサービス品質(Qos)や体感品質(QoE)改善に向けた課題 論文で提案されている手法とその特徴 packet re-injection シングルパケット番号空間/マルチパケット番号空間 5月に提出されたdraft "An Advanced Scheduling Option for Multipath QUIC" Christian Huitema先生の draft-liu-mult
Adversarially trained generative models (GANs) have recently achieved compelling image synthesis results. But despite early successes in using GANs for unsupervised representation learning, they have since been superseded by approaches based on self-supervision. In this work we show that progress in image generation quality translates to substantially improved representation learning performance.
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Monitoring in-production ML models at large scale using Amazon SageMaker Model Monitor | Amazon Web Services
AWS Machine Learning Blog Monitoring in-production ML models at large scale using Amazon SageMaker Model Monitor Machine learning (ML) models are impacting business decisions of organizations around the globe, from retail and financial services to autonomous vehicles and space exploration. For these organizations, training and deploying ML models into production is only one step towards achieving
Introducing Amazon Omics – A Purpose-Built Service to Store, Query, and Analyze Genomic and Biological Data at Scale | Amazon Web Services
AWS News Blog Introducing Amazon Omics – A Purpose-Built Service to Store, Query, and Analyze Genomic and Biological Data at Scale You might learn in high school biology class that the human genome is composed of over three billion letters of code using adenine (A), guanine (G), cytosine (C), and thymine (T) paired in the deoxyribonucleic acid (DNA). The human genome acts as the biological bluepri
Prometheus Fork: Cloud Scale Log Anomaly Detection for DevOps | Zebrium
We're thrilled to announce that Zebrium has been acquired by ScienceLogic! Learn More Introduction At Zebrium, we provide an Autonomous Monitoring service that automatically detects anomalies within logs and metrics. We started by correlating anomalies across log streams to automatically raise incidents that require our user's attention. Now, we have taken the step to augment our incident detectio
Rape as a weapon: huge scale of sexual violence inflicted in Ukraine emerges
The harrowing image adds to a mounting body of evidence that summary executions, rape and torture have been used against civilians in areas under Russian control since the Kremlin launched the invasion of its neighbour on 24 February. Particularly difficult for many to comprehend is the scale of the sexual violence. As Russian troops have withdrawn from towns and suburbs around the capital in orde
GitHub - mhagiwara/github-typo-corpus: GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors
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リサイズする scale | ニコラボ
標準で使えるscaleフィルタの使い方。外部ライブラリにzscaleフィルタがありこちらはHDR、高品質リサイズ向けで処理速度はscaleフィルタより速くない。2022年3月4日のコミットで同程度に速くなった。 映像に余白を追加する pad 映像を指定座標に切り取る crop 比較する動画の解像度に合わせる scale2ref Zライブラリを使ったリサイズフィルタ zscale 映像を拡大するアップコンバートフィルタのまとめ 基本コマンド アスペクト比を維持しながら横幅1280ピクセルにリサイズする。 ffmpeg -i input -vf scale=1280:-1 output さらに縦幅が奇数になる場合には繰り上げて偶数にする。 ffmpeg -i input -vf scale=1280:-2 output アスペクト比を維持しながら長辺1280ピクセルより大きいとき長辺1280ピ
【Premiere Pro（プレミアプロ）】ズームイン・ズームアウトが一瞬で完結!!無料で使える『SEAMLESS SCALE PRESET PACK』を紹介‼︎
『SEAMLESS SCALE PRESET PACK』とは!? 『SEAMLESS SCALE PRESET PACK』はズームイン、ズームアウトを簡単に適用することができるプリセットパックになります。 通常、ズームインやズームアウトをつけたいときには スケールを調整して…キーフレームを打って…スケールを調整して…キーフレームを打って…((꜆꜄ ˙꒳˙)꜆꜄꜆ イージングをつけて…カーブを調整して…_(┐「ε:)_ と中々面倒な作業ですが…(ｰ ｰ;) この面倒な一連の作業を『SEAMLESS SCALE PRESET PACK』のプリセットを使えば 一瞬で完結してしまいます。 最初からイージングもついてるのでカーブのコントロールもしやすいです。 収録プリセットはズームインとズームアウトがそれぞれ13種類ずつあります。 私の場合は動きの少ないプリセットはほぼ使わないのでスッキリ削除してま
Rails at Scale
2024-02-08 • Nikita Vasilevsky Catching Assertionless Tests In Shopify we have more than 300,000 tests in our core monolith. These tests cover most of our application code and provide us with a great level of confidence when making changes to our app. But do all tests still perform the duties they were intended to even if some of these tests were added more than 10 years ago? In this article we wi
Cloudflare Stream | Video streaming made easy and affordable at scale
Create better video experiences. Stream makes hosting video effortless. Upload, store, encode, and deliver live and on-demand video with one API cost effectively. Low-latency video delivery Unlimited video storage 100 minutes included in pro & business plans
この連載でも何度か取りあげた「ハードウェアハッカー」（技術評論社刊）の著者、アンドリュー“バニー”ファンは、MITメディアラボの研究者でもある。彼は、MITの研究者を製造現場と連携させて研究の社会実装を後押しするプロジェクト、「Research at Scale」としての深セン／東莞合宿を2013年から主導している。スタートアップに向けたアドバイス、工場と研究者がコラボすることの可能性など、さまざまな知見を得られるプロジェクトだ。今回はプロジェクトが生まれた経緯と全体像について紹介する。 MITメディアラボは研究の社会実装を旗印にしている。研究者が自らの発見を共有する方法としてはまず学会と論文がある。論文発表を推奨するために、「Publish or Perish」という言葉がある。「発表しなければ去れ」という意味の言葉だ。MITメディアラボの共同設立者ニコラス・ネグロポンテは、それをアレン
New DNS Vulnerability Lets Attackers Launch Large-Scale DDoS Attacks
Israeli cybersecurity researchers have disclosed details about a new flaw impacting DNS protocol that can be exploited to launch amplified, large-scale distributed denial-of-service (DDoS) attacks to takedown targeted websites. Called NXNSAttack, the flaw hinges on the DNS delegation mechanism to force DNS resolvers to generate more DNS queries to authoritative servers of attacker's choice, potent
さらに私たちは、新たに２冊の本も書いています。今はちょうど、そのうちの１冊である"The Scrum Fieldbook"のレビューをしているところです。この本は、私の共著者でScrum Inc.のCEOでもあるJJ Sutherlandの手によるもので、企業の役員や大規模組織がスクラムにアプローチする方法や、組織全体にスクラムを展開する方法を考える上で役立つことを目的にしています。現在は予約注文を受付中で、10月に出版される予定です。本書は、2014年に私たちが出版した、オリジナル本である"Scrum: The Art of Doing Twice the Work in Half the Time"の続編になるもので、人々や組織がフレームワークを適用し、実験する方法について、たくさんのケーススタディを紹介しています。 それとは別になりますが、実践家のグループと一緒に、私たちは10年にわ
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SaaS事業を進めていく上で重要なKPIの1つとして、「NRR」が挙げられます。しかし、NRRとは何かが具体的に理解できていない、MRRやARRとの違いが分からないという人もいますよね。 この記事では、NRRとは何か、MRRやARRとの違い、計算式や改善方法などを詳しく解説していきます。NRRについて知っておきたいという人は、ぜひご覧ください。 また、SaaS事業はこのビジネスモデル特有の指標を数多くモニタリングする必要があります。KPIや経営数値の予実を管理をするにもエクセルでは煩雑になりやすい領域のため、そのような課題を解決するためにScale CloudではKPI管理プラットフォームをご提供しています。 ＞Scale Cloudのサービス紹介資料ダウンロードはこちら
Kit №1. Ukrainian soldier, Defence of Kyiv, March 2022 /24085/ | Russian-Ukrainian War series | Scale 1:35 | Ukraine scale plastic model kits figures
Russian-Ukrainian War series, Kit №1. Ukrainian soldier, Defence of Kyiv, March 2022 /24085/ Scale: 1:24 Barcode: 24085 Series: Russian-Ukrainian War This series of kits is dedicated to all countries and to all people of Planet Earth who supported Ukraine in protection from the barbarian invasion. Glory to Ukraine! The part of the proceeds from the sale of this kit will be used to meet the needs o
Online tracking is a whack-a-mole game between trackers who build and monetize behavioral user profiles through intrusive data collection, and anti-tracking mechanisms, deployed as a browser extension, built-in to the browser, or as a DNS resolver. As a response to pervasive and opaque online tracking, more and more users adopt anti-tracking tools to preserve their privacy. Consequently, as the in
AudioSR: Versatile Audio Super-resolution at Scale Haohe Liu1, Ke Chen2, Qiao Tian3, Wenwu Wang1, Mark D. Plumbley1 1CVSSP, University of Surrey 2University of California San Diego 3Speech, Audio & Music Intelligence (SAMI), Bytedance Abstract Audio super-resolution is a fundamental task that predicts high-frequency components for low-resolution audio, enhancing audio quality in digital applicatio
AWS Lambda functions now scale 12 times faster when handling high-volume requests | Amazon Web Services
AWS News Blog AWS Lambda functions now scale 12 times faster when handling high-volume requests Now AWS Lambda scales up to 12 times faster. Each synchronously invoked Lambda function now scales by 1,000 concurrent executions every 10 seconds until the aggregate concurrency across all functions reaches the account’s concurrency limit. In addition, each function within an account now scales indepen
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夏休み！工作特集：特設空母「安松丸」的な・・・ - 相州の、ほぼ週刊、1:1250 Scale 艦船模型ブログ
Spring Batch on Kubernetes: Efficient batch processing at scale
Large Scale Adversarial Representation Learning
Scrum@Scale による企業規模のアジャイル | Atlassian
研究者と製造現場の間を埋める MITメディアラボのResearch at Scale｜fabcross
Scrum@Scale: Jeff Sutherland氏(アジャイル憲章の共作者、スクラムの共同創始者)に聞く
PandaSet Open Datasets - Scale
SaaSの主要KPIである「NRR」とは｜計算式や改善方法を紹介 - Scale Cloud
The CNAME of the Game: Large-scale Analysis of DNS-based Tracking Evasion
AudioSR: Versatile Audio Super-resolution at Scale