IT |
ITmedia 総合記事一覧 |
[ITmedia ビジネスオンライン] AOKIのパジャマシューズが好調! 日本人の「やりがちな行為」に着目した開発秘話 |
https://www.itmedia.co.jp/business/articles/2205/03/news012.html
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itmedia |
2022-05-03 07:30:00 |
AWS |
AWS |
AWS Supply Chain Automation Team | Amazon Web Services |
https://www.youtube.com/watch?v=rBm3jlA0-4Y
|
AWS Supply Chain Automation Team Amazon Web ServicesAs part of the AWS Supply Chain Automation team you ll build systems that enable AWS to rapidly grow We have an exciting charter in front of us that includes solving highly complex engineering and algorithmic problems You will be playing a crucial role in developing the next generation supply chain systems and get the opportunity to design and deliver enterprise class products from ground up Learn more at Subscribe More AWS videos More AWS events videos ABOUT AWSAmazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform offering over fully featured services from data centers globally Millions of customers ーincluding the fastest growing startups largest enterprises and leading government agencies ーare using AWS to lower costs become more agile and innovate faster AWS AmazonWebServices CloudComputing |
2022-05-02 22:37:11 |
python |
Pythonタグが付けられた新着投稿 - Qiita |
共有サーバーで仮想環境構築のためにvenvするときにディスク容量をなるべく使わない方法 |
https://qiita.com/yuu116atlab/items/0b8734889905057e66a8
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dropbox |
2022-05-03 07:35:11 |
海外TECH |
Ars Technica |
Omicron subvariants BA.4, BA.5 evade protection from earlier omicron infection |
https://arstechnica.com/?p=1851749
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boosts |
2022-05-02 22:44:36 |
海外TECH |
Ars Technica |
Listen to the X-ray echoes of a black hole as it devours a companion star |
https://arstechnica.com/?p=1851595
|
sources |
2022-05-02 22:26:52 |
海外TECH |
DEV Community |
What's the longest build time you've experienced? |
https://dev.to/softwaredotcom/whats-the-longest-build-time-youve-experienced-k2j
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What x s the longest build time you x ve experienced The most successful engineering teams typically keep their workflow durations between five to ten minutes on average according to CircleCI s State of Software Delivery The median is minutes Looking at our team s slowest GitHub Actions using our GitHub App our longest workflow is just under minutes This excludes local builds and workflows But it s not unusual to see build times measured in hours depending on the stack you re using LinkedIn s engineering org previously wrote about the steps they took to decrease build times from minutes to minutes for their largest microservice improving productivity and team happiness What s the longest build or workflow time you ve ever encountered What tools were you using could you fix it |
2022-05-02 22:30:33 |
海外TECH |
DEV Community |
Engineering Metrics Benchmarks: What Makes Elite Teams? |
https://dev.to/linearb/engineering-metrics-benchmarks-what-makes-elite-teams-4bbo
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Engineering Metrics Benchmarks What Makes Elite Teams DORA Metrics and BeyondIn the DevOps Research and Assessment DORA team published their first State of DevOps report identifying four metrics that can be used to measure engineering team performance Six months ago the Data Science Team at LinearB decided to continue where DORA left off digging deeper into the data than ever before For the first time in history engineering teams are able to benchmark their performance against data backed industry standards Our study analyzed Engineering Teams K Branches The Engineering Metrics Benchmarks chart was created from a study of dev teams and k branches over a four month period Benchmarking your organization s performance against these metrics is a great way to understand the efficiency and effectiveness of your engineering operation The best way to begin your journey is by gathering data To help you generate these nine metrics for your team LinearB provides free accounts for dev teams Our platform correlates data from your GitHub GitLab or Bitbucket repos with data from your project management tool like Jira to provide the most accurate picture of your team s performance possible Throughout the rest of this document we will be providing details into how we calculated each metric why we made the choices we did and how each metric can be used to improve your engineering organization Calculating Engineering Metric BenchmarksWhile the DORA Metrics and Accelerate book are based on interviews and assessments the Engineering Metrics Benchmarks are based solely on data from working dev teams The data itself comes from the many thousands of free and paid users of the LinearB platform Our data is trusted because it comes from a global population of engineers who are improving their engineering metrics in a variety of ways Since the LinearB platform is flexible enough to allow users to track their work through Git project management API or all three our overall data sets are more diverse and therefore a better representation of how engineering teams work in real life When we began our study we had to decide on what data was best suited to provide us with trusted results So we started by making a list We will not take out outliers We will only measure Merged PRsWill only include organizations with at least branches We will only include organizations that had days worth of data We would exclude draft PRs and excluded branches from our calculationWith these rules applied we started by taking the average metric value during a day period and began plotting them on a graph Once this was done we were able to take the percentiles that would turn into our rankings Top Elite Strong Fair Last Needs FocusWhy did we use these percentiles It was a question we struggled with during the study Why not make Elite the top and make everyone feel a bit better about their performance Should we make Fair and Strong a little bit larger so more organizations land in the middle of the chart At the end of the day we wanted to represent what we felt was most true to the spirit of the data In this regard that meant Elite should be truly special And any metric that falls into the last forty percent should be focused on by the organizations to understand how it can be improved Engineering MetricsThe nine metrics shown in the chart are all indicators of an engineering organization s level of quality and efficiency Teams who use these metrics to identify areas for focus set goals and take steps to improve significantly increase their business value delivery Cycle Time Measures the amount of time from first commit to production release It is a metric borrowed from lean manufacturing and it is one of the most important metrics for software development teams Short Cycle Time demonstrates that an organization is delivering value to customers at a faster rate Short Cycle Time correlates to small PR sizes a healthy review process and high deployment frequency Overall teams with an elite Cycle Time are able to deliver more features predictably and at a higher quality Long Cycle Time is caused by multiple reasons the most common being bottlenecks within the PR review process Longer Cycle Times reduce team efficiency as well as the ability to deliver features predictably Coding Time measures the time it takes from the first commit until a pull request is issued Short Coding Time correlates to low WIP small PR size and clear requirements Combined these benefits mean a reduction in developer context switching costs i e time spent re focusing on a task Long Coding Time correlates to larger PR sizes longer PR Review Times and a reduction in code quality When requirements are unclear or work isn t broken down into small chunks code becomes more complex and more challenging to review thoroughly before production Pickup Time Measures the time a pull request waits for someone to start reviewing it Low Pickup Time represents strong teamwork and a healthy review process When a PR is picked up and reviewed within hours the code is still fresh in the mind of the developer This reduction of cognitive load saves a significant amount of refocus time Long Pickup Time is an indication of a common workflow bottleneck Either the team isn t aware a PR is ready for review or there aren t enough developers taking on reviews In both instances a longer transition time between handoffs correlates to higher cognitive load re focus time and reduced efficiency Review Time Measures the time it takes to complete a code review and get a pull request merged Low Review Time correlates to small PR sizes reduced code complexity and short Cycle Time The caveat here is to make sure your Review Depth the number of comments per review is consistent between two and four Long Review Time indicates large PR sizes a lack of focus time and or quality issues Regular interruptions during a large PR review increase Review Time due to the developer needing to “get back into the task In a similar light the longer a PR review takes the less fresh the code will be in the mind of the owning developer High rework rates also correlate to long review times Deploy Time Measures the time from when a branch is merged to when the code is released Low Deploy Time correlates to high deployment frequency and a more stable production environment Modern development practices like CI CD and automated testing improve the time to production and the feedback loop from users High Deploy Time correlates to manual efforts and low code quality Build failures can be reduced by standardizing small PR sizes and a thorough PR review process Rework Rate Measures the amount of changes made to code that is less than days old Low Rework Rates are an indication of higher overall code quality and a strong PR review process High Rework Rates signal code churn and is a leading indicator of quality issues Planning Accuracy Measures the ratio of planned work vs what is actually delivered during a sprint or iteration High Planning Accuracy indicates a high level of predictability Predictability within a sprint or larger project allows teams to deliver what they promised to deliver on time Low Planning Accuracy is an indication of unplanned work shadow work and high code churn Missed delivery deadlines and high carryover are the most common result of low planning accuracy Using LinearB s Project Delivery Tracker can help you visualize unplanned work your team is doing each sprint and improve your planning accuracy Book a demo today Deployment Frequency Measures how often code is released High Deployment Frequency represents a stable and healthy continuous delivery pipeline Elite development teams are deploying small chunks of code to production multiple times a day to improve the user experience and shorten the feedback loop Low Deployment Frequency is an indicator of large deployment events that increase the likelihood of production instability PR Size Measures the number of code lines modified in a pull request Small PR Sizes are easier to review safer to merge and correlate to a lower Cycle Time Large PR Sizes directly correlate to higher Cycle Time and code complexity High PR sizes are the most common cause of a high Cycle Time Understanding your team s current performance is the first step to creating a culture of continuous improvement If you re ready to discover how your team performs against industry standards today use this link to book a free engineering metrics benchmarks consultation |
2022-05-02 22:29:18 |
Apple |
AppleInsider - Frontpage News |
Leviton announces HomeKit-enabled Decora home lighting solutions for older homes |
https://appleinsider.com/articles/22/05/02/leviton-announces-homekit-enabled-decora-home-lighting-solutions-for-older-homes?utm_medium=rss
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Leviton announces HomeKit enabled Decora home lighting solutions for older homesNow you can easily add HomeKit enabled lighting to older homes with the new Decora No Neutral lineup Late Monday afternoon Leviton debuted several new smart home products to its Decora lineup Most of them are geared toward adding HomeKit compatible lighting to older homes that may not feature neutral wiring No matter what devices you re interested in you ll need to purchase a required Smart Wi Fi Bridge It supports up to of the No Neutral devices and offers coverage for square feet Read more |
2022-05-02 22:21:01 |
海外TECH |
Engadget |
Apple sues chip startup for alleged theft of trade secrets |
https://www.engadget.com/apple-sues-221738615.html?src=rss
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Apple sues chip startup for alleged theft of trade secretsApple has accused a company of stealing its trade secrets In a complaint filed Friday the tech giant claims Rivos a “stealth mode startup based out of Mountain View California led a recent “coordinated campaign to poach employees from Apple s chip design division According to Reuters the first publication to report on the lawsuit Apple alleges at least two former employees took gigabytes of confidential data with them to Rivos Among the information those individuals allegedly stole are presentations that detail unreleased chip designs reports Bloomberg “Apple has reason to believe that Rivos instructed at least some Apple employees to download and install apps for encrypted communications e g the Signal app before communicating with them further the company says in the complaint We ve reached out to Apple for comment Should the case move forward it s likely to draw a significant amount of attention much like Waymo s suit against Uber for stealing confidential information about its self driving technology did in After years of litigation that case ended with Uber agreeing to settle for million and with a court sentencing Anthony Levandowski the engineer at the center of the dispute to months in prison before former President Donald Trump issued a pardon |
2022-05-02 22:17:38 |
海外科学 |
NYT > Science |
How to Watch the Rocket Lab Launch Today |
https://www.nytimes.com/2022/05/02/science/rocket-lab-launch-helicopter.html
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How to Watch the Rocket Lab Launch TodayIf the company can snatch its spent rocket booster from the sky and then reuse it for another orbital launch it will pull off something so far achieved only by Elon Musk s SpaceX |
2022-05-02 22:43:12 |
海外科学 |
NYT > Science |
An Anaconda’s Play Date With Dolphins Took a Strange Turn |
https://www.nytimes.com/2022/05/02/science/dolphins-anaconda-bolivia.html
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An Anaconda s Play Date With Dolphins Took a Strange TurnWhy were Bolivian river dolphins swimming around with a large predatory snake in their mouths “There are so many questions one researcher said |
2022-05-02 22:01:28 |
金融 |
金融総合:経済レポート一覧 |
新たな担保制度として検討が進む事業成長担保権の概要と求められる視点:リサーチ・フォーカス No.2022-005 |
http://www3.keizaireport.com/report.php/RID/494656/?rss
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日本総合研究所 |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
FX Daily(4月29日)~ドル円、129円台後半に下落 |
http://www3.keizaireport.com/report.php/RID/494659/?rss
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fxdaily |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
FX Monthly(2022年5月号)~為替相場の見通し(1)ドル円相場:130円到達で新局面 |
http://www3.keizaireport.com/report.php/RID/494660/?rss
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fxmonthly |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
イールドカーブ・コントロールの運命やいかに~日銀はなぜYCCを行っているのか...:門間一夫の経済深読み |
http://www3.keizaireport.com/report.php/RID/494662/?rss
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門間 |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
ロシアのウクライナ侵攻と金融制裁の功罪:Special Report |
http://www3.keizaireport.com/report.php/RID/494663/?rss
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specialreport |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
75bp利上げ案が仕込まれている可能性(5月FOMC):Market Flash |
http://www3.keizaireport.com/report.php/RID/494669/?rss
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fomcmarketflash |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
中立金利水準が鍵を握るFRBの利上げと金融市場~「中立金利」到達後は慎重に利上げを進める姿勢に...:木内登英のGlobal Economy & Policy Insight |
http://www3.keizaireport.com/report.php/RID/494670/?rss
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lobaleconomypolicyinsight |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
利上げ加速観測でにわかに不安定化した4月の米国株式市場と歴史的円安の行方:木内登英のGlobal Economy & Policy Insight |
http://www3.keizaireport.com/report.php/RID/494671/?rss
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lobaleconomypolicyinsight |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
ロシアがドルで国債の償還・利子を支払い当面のデフォルトを回避か:木内登英のGlobal Economy & Policy Insight |
http://www3.keizaireport.com/report.php/RID/494672/?rss
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lobaleconomypolicyinsight |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
マーケット見通し『向こう1年間の市場見通し』(2022年5月号)(4月4日時点) |
http://www3.keizaireport.com/report.php/RID/494677/?rss
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第一生命経済研究所 |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
内外経済ウォッチ『米国~ビハインドザカーブでFRBは利上げ加速~』(2022年5月号) |
http://www3.keizaireport.com/report.php/RID/494681/?rss
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第一生命経済研究所 |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
よく分かる!経済のツボ『良い円安・悪い円安ってなに?』 |
http://www3.keizaireport.com/report.php/RID/494688/?rss
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第一生命経済研究所 |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
信金中金月報 2022年5月号~事業承継と地域金融機関の役割 / 灰色のサイ~不動産バブルの持続的拡大と中国債務の現在 / 環境激変に挑む中小企業の「危機対応」(飲食・宿泊業編)... |
http://www3.keizaireport.com/report.php/RID/494691/?rss
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不動産バブル |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
内外金利・為替見通し No.2022-02 ~日銀は現状の緩和策を継続する見通しだが、先行き、政策修正の可能性も |
http://www3.keizaireport.com/report.php/RID/494692/?rss
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中小企業 |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
DBJ Monthly Overview 2022年5月号~経済動向、マーケット動向、産業動向。原油高、円安は経常収支の赤字をもたらすか... |
http://www3.keizaireport.com/report.php/RID/494694/?rss
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dbjmonthlyoverview |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
データを読む:日本取引所グループ・清田CEO 新市場区分「スタートは順調」 単独インタビュー(前編) |
http://www3.keizaireport.com/report.php/RID/494706/?rss
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単独インタビュー |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
データを読む:日本取引所G・清田CEO 新市場区分、「基準ギリギリの上場は難しくなる」 単独インタビュー(後編) |
http://www3.keizaireport.com/report.php/RID/494707/?rss
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単独インタビュー |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
政治・経済スケジュール 2022年5月号 |
http://www3.keizaireport.com/report.php/RID/494715/?rss
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三菱ufj |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
【エコシル】日銀、大規模緩和を維持~エネルギー価格を除くと物価下落... |
http://www3.keizaireport.com/report.php/RID/494716/?rss
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野村アセットマネジメント |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
【石黒英之のMarket Navi】コロナ感染再拡大で高まる中国リスク~中国景気悪化は日米企業に打撃... |
http://www3.keizaireport.com/report.php/RID/494717/?rss
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marketnavi |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
【注目検索キーワード】レジリエンス |
http://search.keizaireport.com/search.php/-/keyword=レジリエンス/?rss
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検索キーワード |
2022-05-03 00:00:00 |
金融 |
金融総合:経済レポート一覧 |
【お薦め書籍】世界2.0 メタバースの歩き方と創り方 |
https://www.amazon.co.jp/exec/obidos/ASIN/4344039548/keizaireport-22/
|
宇宙開発 |
2022-05-03 00:00:00 |
ニュース |
BBC News - Home |
Israel outrage at Sergei Lavrov's claim that Hitler was part Jewish |
https://www.bbc.co.uk/news/world-middle-east-61296682?at_medium=RSS&at_campaign=KARANGA
|
blood |
2022-05-02 22:52:59 |
ニュース |
BBC News - Home |
The papers: PM's Ukraine speech and guards' conned by 'priest' |
https://www.bbc.co.uk/news/blogs-the-papers-61302527?at_medium=RSS&at_campaign=KARANGA
|
barracks |
2022-05-02 22:12:48 |
ニュース |
BBC News - Home |
Ralf Rangnick 'not completely happy' with Man Utd interim spell |
https://www.bbc.co.uk/sport/football/61302694?at_medium=RSS&at_campaign=KARANGA
|
Ralf Rangnick x not completely happy x with Man Utd interim spellManchester United interim boss Ralf Rangnick says he is not completely happy with his time in charge and admits he expected Champions League qualification |
2022-05-02 22:40:08 |
ニュース |
BBC News - Home |
Christian Eriksen: 'Very good chance' playmaker stays at Brentford, says Thomas Frank |
https://www.bbc.co.uk/sport/football/61302837?at_medium=RSS&at_campaign=KARANGA
|
Christian Eriksen x Very good chance x playmaker stays at Brentford says Thomas FrankThomas Frank believes Brentford have a very good chance of keeping Christian Eriksen at the club beyond this season |
2022-05-02 22:26:55 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
同性愛者向けアプリ、ユーザー情報が長年販売対象に - WSJ発 |
https://diamond.jp/articles/-/302731
|
長年 |
2022-05-03 07:12:00 |
北海道 |
北海道新聞 |
NY円、130円前半 |
https://www.hokkaido-np.co.jp/article/676745/
|
外国為替市場 |
2022-05-03 07:03:00 |
ビジネス |
東洋経済オンライン |
1日3分で誰でも「体幹を鍛えられる」トレーニング 歯磨きと同じように習慣にすれば体は変わる | 健康 | 東洋経済オンライン |
https://toyokeizai.net/articles/-/585770?utm_source=rss&utm_medium=http&utm_campaign=link_back
|
東洋経済オンライン |
2022-05-03 07:02:00 |
海外TECH |
reddit |
苔とか虫とか撮ってたらガサガサ音がしたので探したらトカゲを見つけたので撮ってみたら穴の中で苔とか水滴とか食べていた |
https://www.reddit.com/r/newsokunomoral/comments/uh0yju/苔とか虫とか撮ってたらガサガサ音がしたので探したらトカゲを見つけたので撮ってみたら穴の中で苔とか水滴/
|
wsokunomorallinkcomments |
2022-05-02 22:03:19 |
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