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  • 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
    • TrueNAS SCALE - Hyperconverged Storage Scales Up & Out

      Open HyperConvergence that SCALEs TrueNAS® SCALE is an Open Source Hyperconverged Infrastructure (HCI) solution. In addition to powerful scale-out storage capabilities, SCALE adds Linux Containers and VMs (KVM) so apps run closer to data. Scale-Up or Out ZFS OpenZFS with its excellent data management capabilities is the basis for all deployments. Scale-up by adding drives or scale-out by adding sy

        TrueNAS SCALE - Hyperconverged Storage Scales Up & Out
      • Auto-scale your game back-end to save time and money | Google Cloud Blog

        Run your game infrastructure on GKE Autopilot to focus on player experience Earlier this month, we shared Google Cloud's strategy for live service games which outlines our focus on the three critical pillars of (1) serving players everywhere, (2) collecting and organizing game data, and (3) unlocking player and game insights. Starting today, you can run your game workloads on Google Kubernetes Eng

          Auto-scale your game back-end to save time and money | Google Cloud Blog
        • プレイドがCXプラットフォーム「KARTE」でユーザビリティ調査「Usability Scale」開始 | Web担当者Forum

            プレイドがCXプラットフォーム「KARTE」でユーザビリティ調査「Usability Scale」開始 | Web担当者Forum
          • Accessible Usability Scale (AUS)

            The Accessible Usability Scale (AUS) is a free tool to measure the usability of a digital product for assistive technology users. Inspired by the System Usability Scale (SUS), the Accessible Usability Scale consists of ten questions administered at the end of a user experience to calculate a score.

              Accessible Usability Scale (AUS)
            • 5 Good practices to scale your React projects easily

              For most React developers, it's easy to just get our hands on writting new lines of code. However, we sometimes missed keeping them organized and planned for future use as the project scales. Having a plan for scaling can help you: Reuse and reduce development time Organize project and prevent project reconstructions Show you are good developer by taking consideration of the project and other devs

                5 Good practices to scale your React projects easily
              • Amazon EC2 Auto Scaling now lets you control which instances to terminate on scale-in

                Amazon EC2 Auto Scaling now lets you control which instances to terminate during a scale-in event by allowing you to provide a custom function that selects which instances to terminate. Previously, you could use one of the predefined termination policies to determine which instances Auto Scaling would terminate. (For example, the OldestLaunchTemplate termination policy would terminate instances in

                  Amazon EC2 Auto Scaling now lets you control which instances to terminate on scale-in
                • Selecting a startup stack for scale

                  “Do things that don’t scale.” That YCombinator mantra may be the single most common piece of advice given to early-stage tech startups. And with good reason – it’s great advice! But if you follow it, with a little luck you’ll reach a point where it no longer applies (at least on a technical level). Of course, “Do things that don’t scale” is advice about how to grow an early-stage startup, not advi

                    Selecting a startup stack for scale
                  • Scale React Development with Nx

                    On the surface, starting a project sounds easy. First you make some directories, install some dependencies, then you write some code. But there's a bit more to it than just those three steps. The type of project you're working on impacts the decisions you make. It gets more complicated when you're working on multiple projects that are related. For example, maybe you have a customer-facing frontend

                      Scale React Development with Nx
                    • ProductLed Scale Book | ProductLed

                      Work directly with Wes Bush 1:1 to lead your GTM team through the ProductLed System.

                        ProductLed Scale Book | ProductLed
                      • Diseconomies of Scale at Google

                        What was previously Google's biggest strength might prevent it from innovating in the future. Google technology used to be years ahead of the industry. In 2004, Google released a paper on its proprietary MapReduce algorithm, the system that powered Google's massively parallel web crawling infrastructure. The previous year, Google had released a paper on its proprietary Google File System, which wo

                          Diseconomies of Scale at Google
                        • Large Scale Procedural Planet With 3d Cities And Vegetation ブレンダーで宇宙から地球に入る事も可能な広大な惑星をプロシージャルに調整出来るブレンダーファイル|3DCG最新情報サイト MODELING HAPPY

                            Large Scale Procedural Planet With 3d Cities And Vegetation ブレンダーで宇宙から地球に入る事も可能な広大な惑星をプロシージャルに調整出来るブレンダーファイル|3DCG最新情報サイト MODELING HAPPY
                          • GitHub - onthegomap/planetiler: Flexible tool to build planet-scale vector tilesets from OpenStreetMap data fast

                            Planetiler (pla·nuh·tai·lr, formerly named "Flatmap") is a tool that generates Vector Tiles from geographic data sources like OpenStreetMap. Planetiler aims to be fast and memory-efficient so that you can build a map of the world in a few hours on a single machine without any external tools or database. Vector tiles contain raw point, line, and polygon geometries that clients like MapLibre can use

                              GitHub - onthegomap/planetiler: Flexible tool to build planet-scale vector tilesets from OpenStreetMap data fast
                            • 米海軍:護衛空母;レイテ沖海戦・第七艦隊第77任務部隊・第4群から - 相州の、ほぼ週刊、1:1250 Scale 艦船模型ブログ

                              予告ではレイテ沖海戦に参加した日本海軍の中で唯一残った「小沢機動部隊」のご紹介となっていましたが、やはりもう少し準備が必要です。 そこで今回は「繋」的に、前回レイテ沖海戦のサマール沖海戦で第一遊撃部隊に追い回された米第七艦隊の護衛空母の関連で、米海軍の護衛空母を簡単にご紹介します。 米第七艦隊 第77任務部隊(Task Force 77) 米第七艦隊は、マッカーサーの率いる米南西太平洋方面軍の指揮下にあって、侵攻軍の輸送ととその護衛、さらに侵攻軍の作戦を海空から支援する役割を負っていた艦隊で、トーマス・キンケイド中将が率いていました。 同艦隊は、第70任務部隊、第77任務部隊、第78任務部隊、第79任務部隊の4つの任務部隊(Task Force)を基幹に構成されていましたが、このうち第70任務部隊は、マッカーサー司令部直属部隊で第78、第79の両任務部隊は上陸軍の輸送船団とその直衛のあたる

                                米海軍:護衛空母;レイテ沖海戦・第七艦隊第77任務部隊・第4群から - 相州の、ほぼ週刊、1:1250 Scale 艦船模型ブログ
                              • Presto: The Definitive Guide: SQL at Any Scale, on Any Storage, in Any Environment - たけぞう瀕死ブログ

                                昨年から執筆中という話だったオライリーのPresto本がこの4月に発売になったとのことでゴールデンウィーク中に読んでみました。 [asin:B086R9FHB7:detail] Kindleでも7000円以上という高価格ですが、実は著者の皆さんが勤務されている米Starburst社のWebサイトから無料でダウンロードすることができます(メールアドレスの登録が必要ですが)。 www.starburstdata.com 内容はPrestoのインストール方法、アーキテクチャ、設定方法や外部連携の方法など、Prestoを使う上で必要になる事項が一通り網羅されています。開発者の方々自ら執筆された書籍だけあってPresto自体のアーキテクチャはもちろんのこと各コネクタも設定方法だけでなく内部構造にも触れられていたり、チューニングの勘所が解説されていたりとオンラインドキュメントとの差別化もきちんとなされ

                                  Presto: The Definitive Guide: SQL at Any Scale, on Any Storage, in Any Environment - たけぞう瀕死ブログ
                                • Quality software at scale with Vercel Spaces – Vercel

                                  Reimagining Vercel for large codebasesTeams need a single place to find information about code, owners, and build logs. As more teams turned to monorepos to efficiently scale projects, it became clear that we needed to rethink how our dashboard surfaced their data. Spaces provides new monorepo and code-first views in the Vercel dashboard, making it easy to improve collaboration and productivity. W

                                    Quality software at scale with Vercel Spaces – Vercel
                                  • Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

                                    Improving the quality of search results can significantly enhance users experience and engagement with search engines. In spite of several recent advancements in the fields of machine learning and data mining, correctly classifying items for a particular user search query has been a long-standing challenge, which still has a large room for improvement. This paper introduces the "Shopping Queries D

                                    • How GitHub Actions renders large-scale logs

                                      EngineeringHow GitHub Actions renders large-scale logsRendering logs in a web UI might seem simple: they are just lines of plain text. However, there are a lot of additional features that make them more useful to… Rendering logs in a web UI might seem simple: they are just lines of plain text. However, there are a lot of additional features that make them more useful to our users: coloring, groupi

                                        How GitHub Actions renders large-scale logs
                                      • Scale cloud data warehouse up and down quickly | Google Cloud Blog

                                        Introducing BigQuery Flex Slots for unparalleled flexibility and control Organizations of all sizes look to BigQuery to meet their growing analytics needs. We hear that customers value BigQuery’s radically innovative architecture, serverless delivery model, and integrated advanced capabilities in machine learning, real-time analytics, and business intelligence. To help you balance explosive demand

                                          Scale cloud data warehouse up and down quickly | Google Cloud Blog
                                        • Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse Dataset

                                          The Google-Landmarks-v2 dataset is the biggest worldwide landmarks dataset characterized by a large magnitude of noisiness and diversity. We present a novel landmark retrieval/recognition system, robust to a noisy and diverse dataset, by our team, smlyaka. Our approach is based on deep convolutional neural networks with metric learning, trained by cosine-softmax based losses. Deep metric learning

                                          • What is 『LeSS (Large-Scale Scrum) 』

                                            Large-Scale Scrum (LeSS) is a framework for scaled agile and scaling Scrum. LeSS decreases organizational complexity… Scrum開発において、エンタープライズな大規模な環境でスクラム開発をする際のフレームワーク(LeSS)について基礎的な部分を述べていきます。 概要をいうと1つのスクラムチームが仮に10人以上になってしまったときにどうするか。を解決するスクラムフレームワークです。 Principles Overviewまず、LeSSには10つの原則があります。 https://less.works/jp/less/principles/overview.htmlLarge-Scale Scrumはスクラムである LeSSはScrumのフレームワークであるため基本的な部分はS

                                              What is 『LeSS (Large-Scale Scrum) 』
                                            • [Session Report] [AIML001]Generative AI on AWS : Build and Scale generative AI Application With Foundation Model #AWSSummit India Online 2023 | DevelopersIO

                                              [Session Report] [AIML001]Generative AI on AWS : Build and Scale generative AI Application With Foundation Model #AWSSummit India Online 2023 hello ,This is Aayush, This time I cant able to make to inperson aws Summit however on 25th May 2023 i am learning about aws from comfort of my home on online Aws Summit. In this blog, i will write about the very first session I attended about Generative AI.

                                                [Session Report] [AIML001]Generative AI on AWS : Build and Scale generative AI Application With Foundation Model #AWSSummit India Online 2023 | DevelopersIO
                                              • Sixty-Week Delay on Router Orders Shows Scale of Chip Crisis - Bloomberg

                                                We've detected unusual activity from your computer network To continue, please click the box below to let us know you're not a robot. Why did this happen? Please make sure your browser supports JavaScript and cookies and that you are not blocking them from loading. For more information you can review our Terms of Service and Cookie Policy. Need Help? For inquiries related to this message please co

                                                • One Concern | Planetary-Scale Resilience Software Platform

                                                  Read News — One Concern Announces Strategic Partnership with Swiss Re to Reveal Business Interruption Risk with AI

                                                    One Concern | Planetary-Scale Resilience Software Platform
                                                  • [CVPR20 Tutorial] Billion-scale Approximate Nearest Neighbor Search

                                                    [CVPR20 Tutotrial] Image Retrieval in the Wild https://matsui528.github.io/cvpr2020_tutorial_retrieval/ Billion-scale Approximate Nearest Neighbor Search Yusuke Matsui video: https://www.youtube.com/watch?v=SKrHs03i08Q

                                                      [CVPR20 Tutorial] Billion-scale Approximate Nearest Neighbor Search
                                                    • Autonomous testing of services at scale

                                                      The components of an integration test. The testing infrastructure provides the foundation on top of which engineers write their tests, and the execution platform for running them. Enabling developers to prototype, test, and iterate on new features quickly is important to Facebook’s success. To do this effectively, it’s key to have a stable infrastructure that doesn’t introduce unnecessary friction

                                                        Autonomous testing of services at scale
                                                      • NEC、分散ファイルSDS「IBM Storage Scale」を使ったストレージシステムを販売、分散したデータを一元化 | IT Leaders

                                                        IT Leaders トップ > テクノロジー一覧 > ストレージ > 新製品・サービス > NEC、分散ファイルSDS「IBM Storage Scale」を使ったストレージシステムを販売、分散したデータを一元化 ストレージ ストレージ記事一覧へ [新製品・サービス] NEC、分散ファイルSDS「IBM Storage Scale」を使ったストレージシステムを販売、分散したデータを一元化 2023年7月10日(月)日川 佳三(IT Leaders編集部) リスト NECは、同社のサーバー/ストレージ製品に日本IBMの分散ファイルシステムソフトウェア「IBM Storage Scale」を組み合わせたストレージシステムを2023年7月から販売する。日本IBMとの協業の一環として販売する。日本IBMが2023年7月10日に発表した。最小構成では容量数TBのエントリーモデルから入手可能である。

                                                          NEC、分散ファイルSDS「IBM Storage Scale」を使ったストレージシステムを販売、分散したデータを一元化 | IT Leaders
                                                        • GitHub - NVIDIA/Megatron-LM: Ongoing research training transformer models at scale

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                                                            GitHub - NVIDIA/Megatron-LM: Ongoing research training transformer models at scale
                                                          • A Pods Architecture To Allow Shopify To Scale

                                                            Opens in a new windowOpens an external siteOpens an external site in a new window In 2015, it was no longer possible to continue buying a larger database server for Shopify. We finally had no choice but to shard the database, which allowed us to horizontally scale our databases and continue our growth. However, what we gained in performance and scalability we lost in resilience. Throughout the Sho

                                                              A Pods Architecture To Allow Shopify To Scale
                                                            • Scale8 Tag Manager

                                                              A hosted GDPR, CCPA and PECR compliant Tag Manager solution combined with a privacy-friendly analytics product.

                                                                Scale8 Tag Manager
                                                              • CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians

                                                                CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians Yang Liu1,2, He Guan1,2, Chuanchen Luo1, Lue Fan1,2, Junran Peng1, Zhaoxiang Zhang1,2,3,4, 1Institute of Automation, Chinese Academy of Sciences 2University of Chinese Academy of Sciences (UCAS) 3Centre for Artificial Intelligence and Robotics (HKISI, CAS) 4State Key Laboratory of Multimodal Artificial Intelligence Sys

                                                                • Cache Poisoning at Scale

                                                                  Identifying and Exploiting over 70 Cache Poisoning vulnerabilities Posted on Dec 23, 2021 Even though Web Cache Poisoning has been around for years, the increasing complexity in technology stacks constantly introduces unexpected behaviour which can be abused to achieve novel cache poisoning attacks. In this paper I will present the techniques I used to report over 70 cache poisoning vulnerabilitie

                                                                    Cache Poisoning at Scale
                                                                  • Unlock the value of embedded security IP to build secure IoT products at scale | Amazon Web Services

                                                                    The Internet of Things on AWS – Official Blog Unlock the value of embedded security IP to build secure IoT products at scale Introduction IoT product development crosses several domains of expertise from embedded design to communication protocols and cloud computing. Because of this complexity “end-to-end” or “edge-to-cloud” IoT security is becoming a challenging concept in the industry. Edge in m

                                                                      Unlock the value of embedded security IP to build secure IoT products at scale | Amazon Web Services
                                                                    • LeSSのルールとヒントが学べる「大規模スクラム Large-Scale Scrum(LeSS)」 の本を読んだ - はんなりと、ゆるやかに

                                                                      参考:Overview - Large Scale Scrum (LeSS) スクラムをスケールさせる方法を知るため大規模スクラム Large-Scale Scrum(LeSS) アジャイルとスクラムを大規模に実装する方法を読みました。 大規模スクラム Large-Scale Scrum(LeSS) アジャイルとスクラムを大規模に実装する方法 発売日: 2019/01/30メディア: 単行本(ソフトカバー) アジャイルをスケールさせるフレームワークはいくつかあってLeSSはその内のひとつです。他にはScaled Agile Framework、Scrum@Scale、Nexusあたりが有名だと思います。 LeSSはスクラムを出来るだけそのまま大規模にしたフレームワークです。5秒でLeSSを説明するなら「スクラムの開発チームが複数になってそれ以外はスクラムのまま」です。なのでプロダクトバック

                                                                        LeSSのルールとヒントが学べる「大規模スクラム Large-Scale Scrum(LeSS)」 の本を読んだ - はんなりと、ゆるやかに
                                                                      • Sensenmann: Code Deletion at Scale

                                                                        Post a Comment The comments you read and contribute here belong only to the person who posted them. We reserve the right to remove off-topic comments. TotT 93 GTAC 61 James Whittaker 42 Misko Hevery 32 Anthony Vallone 27 Code Health 24 Patrick Copeland 23 Jobs 18 Andrew Trenk 12 C++ 11 Patrik Höglund 8 JavaScript 7 Allen Hutchison 6 George Pirocanac 6 Zhanyong Wan 6 Harry Robinson 5 Java 5 Julian

                                                                          Sensenmann: Code Deletion at Scale
                                                                        • Cloud infrastructure for machine learning at scale

                                                                          Cloud infrastructure for machine learning at scaleDeploy, manage, and scale machine learning models in production.

                                                                            Cloud infrastructure for machine learning at scale
                                                                          • Scale your workforce access management with AWS IAM Identity Center (previously known as AWS SSO) | Amazon Web Services

                                                                            AWS Security Blog Scale your workforce access management with AWS IAM Identity Center (previously known as AWS SSO) AWS Single Sign-On (AWS SSO) is now AWS IAM Identity Center. Amazon Web Services (AWS) is changing the name to highlight the service’s foundation in AWS Identity and Access Management (IAM), to better reflect its full set of capabilities, and to reinforce its recommended role as the

                                                                              Scale your workforce access management with AWS IAM Identity Center (previously known as AWS SSO) | Amazon Web Services
                                                                            • 新着モデルのご紹介: A=H帝国中央砲郭艦、SW海軍計画海防戦艦、タイ海軍海防戦艦と超甲巡のモデル素材比較 - 相州の、ほぼ週刊、1:1250 Scale 艦船模型ブログ

                                                                              またまた予告に反して「機動部隊小史」には戻りません。 言い訳をすると、日本海軍の軍制の話に興味が向いていってしまっています。本稿どれだけ関連してくるのか、筆者自身もわからないのですが、しばらく手探りが続くのかも。「ミッドウェー」で第一航空艦隊から第三艦隊に空母機動部隊は編成替えされるのですが、これがどういう意味を持つのか、もう少し掘り下げてみたい、そんなところです。 というわけで今回は最近の新着モデルのご紹介。 1)年明けにご紹介したオーストリア=ハンガリー帝国海軍の近代海軍以前の軍艦のジャンクモデルを仕上げてみたので、そのご紹介をまず。 2)ついで本稿で何度かご紹介してきているスウェーデン海軍の海防戦艦の未成艦のモデルを入手したので、こちらもご紹介。 3)かなりマニアックなところで、太平洋戦争期のタイ海軍の海防戦艦「トンブリ」級のご紹介。(小さな可愛い戦艦ですが、なんと日本製です) 4)

                                                                                新着モデルのご紹介: A=H帝国中央砲郭艦、SW海軍計画海防戦艦、タイ海軍海防戦艦と超甲巡のモデル素材比較 - 相州の、ほぼ週刊、1:1250 Scale 艦船模型ブログ
                                                                              • Asynchronous computing @Facebook: Driving efficiency and developer productivity at Facebook scale

                                                                                Asynchronous computing @Facebook: Driving efficiency and developer productivity at Facebook scale People use our apps and services every day for a wide spectrum of use cases, including sharing pictures; following the latest news and sports updates; sharing life-changing events, such as the birth of a child; or marking themselves safe via Safety Check. Now, more than ever, people are also using our

                                                                                  Asynchronous computing @Facebook: Driving efficiency and developer productivity at Facebook scale
                                                                                • 事業をスケールさせる成長型PR人材データベース|SCALE POWERED BY PR

                                                                                  DISCOVER PR SPECIALIST あなたの事業をスケールさせる PRのプロフェッショナル人材に きっと出会えます。 PR人材を探してみる 第一線で活躍中の、 1,000名のPRのプロフェッショナルが登録。 ※2023年1月現在。当サイトではその一部を匿名でご紹介しています。 「SCALE」は企業とPR人材の最適なマッチングを実現するPR人材プラットフォームです。 SCALE PR ACADEMYで学び成長し続けるPR人材を、独自のコンピテンシーをもとに評価。 あなたの事業内容やフェーズ、課題やニーズに対して最適なスペシャリストをご紹介します。

                                                                                    事業をスケールさせる成長型PR人材データベース|SCALE POWERED BY PR