投稿時間:2022-03-24 08:35:09 RSSフィード2022-03-24 08:00 分まとめ(44件)

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IT	気になる、記になる…	iFixit、｢Mac Studio｣と｢Studio Display｣の分解動画を公開	https://taisy0.com/2022/03/24/155086.html	studi	2022-03-23 22:40:56
IT	気になる、記になる…	｢ウォレット｣アプリに運転免許証を登録する機能が米アリゾナ州で利用可能に	https://taisy0.com/2022/03/24/155083.html	apple	2022-03-23 22:26:41
IT	気になる、記になる…	Apple、2023年に｢MacBook Air｣に15インチモデルを追加か	https://taisy0.com/2022/03/24/155080.html	apple	2022-03-23 22:16:55
TECH	Engadget Japanese	広報にとっての宝物は編集者との出会い。離れる人とのつながりも大切にしたい：PC広報風雲伝（最終回）	https://japanese.engadget.com/publicrelations30-225057630.html	時事ネタ	2022-03-23 22:50:57
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 日本企業にも“脱ロシア”の動き　「過去に例がないほど厳しい」	https://www.itmedia.co.jp/business/articles/2203/24/news070.html	itmedia	2022-03-24 07:09:00
IT	ITmedia 総合記事一覧	[ITmedia エグゼクティブ] リーダーの快眠が組織を変える　65000人の睡眠を改善してきて分かった睡眠と組織の関係性～	https://mag.executive.itmedia.co.jp/executive/articles/2203/24/news027.html	itmedia	2022-03-24 07:07:00
TECH	Techable（テッカブル）	凸版印刷ら、歴史資料解読のカギとなる“くずし字OCR技術”の飛躍的向上を目指すコンペ開催	https://techable.jp/archives/175696	signate	2022-03-23 22:00:37
Git	Gitタグが付けられた新着投稿 - Qiita	[git] [VS Code] ローカルリポジトリの作成	https://qiita.com/hiroshitakahashi-it/items/25458a5590749e49b522	gitinit	2022-03-24 07:17:08
海外TECH	MakeUseOf	GNOME 42 Is Here, Bringing an Enhanced Dark Mode Plus New and Improved Apps	https://www.makeuseof.com/gnome-42-released-enhanced-dark-mode-new-apps/	linux	2022-03-23 22:20:21
海外TECH	DEV Community	gdpr-guard against GDPR-compliance's hassle	https://dev.to/voltra/gdpr-guard-against-gdpr-compliances-hassle-5509	gdpr guard against GDPR compliance x s hassleLadies and gentlemen let me introduce to you gdpr guard Table Of ContentWhat is gdpr guard A tiny exampleThe eco systemStorageBindings UI generation helpersWhat do you think What is gdpr guard gdpr guard is a library that helps with the following tasks Describe the personal data processing in a tree like structureMake each feature or group of feature toggleableMake a cookie banner workflow forReact to the user s choices when validatedKeep the data on the user s machine or save it elsewhere if so desired What gdpr guard does not help you with build a uniform potentially themable UI gdpr guard is not a UI library it provides the bare bones logic and nothing else A tiny example For this example we ll use gdpr guard as well as gdpr guard local First we ll define our manager factory We use a factory because we will restore the manager from local storage if it already exists import GdprManagerBuilder GdprStorage from gdpr guard const managerFactory gt GdprManagerBuilder make startRequiredGroup GdprStorage Cookie Functionalities Information purely used to guarantee the proper behavior of the application withEnabledGuard PHP SESSID Server session identifier endGroup startGroup GdprStorage Cookie Analytics Tracking information used to better the UX withEnabledGuard ga Tracking identifier endGroup build Then we ll use the Savior API which is used to handling saving and restoring the GDPR settings import LocalStorageSavior defaults from gdpr guard local const makeConfig defaults const saviorConfig version v Changing this depending on your version comparison algorithm will ask the user to configure their settings again storeKey gdprState The key used to save restore the user s settings versionKey gdprVersion The key used to save query the version of the savior the user saw last comparator lhs rhs gt return lhs rhs How to detect if versions are different const savior new LocalStorageSavior saviorConfig For the sake of this example we ll not use any of the bindings It may seem a little too abstract but bear with me At this point you have both a factory and a savior which is all you need to use one Let s get our manager instance and listen to enabling disabling events async function prepareGdprStuff manager is an instance of GdprManager const manager await savior restoreOrCreate managerFactory manager events onEnable ga gt Load the GA scripts and execute stuff manager events onDisable ga gt Disable GA if it s already loaded for when users change their settings mid execution if manager bannerWasShown manager closeBanner Then we render stuff in the modal banner use listeners query enabled state etc And just like that with little to no effort you can build a fully GDPR compliant system with conditional script loading execution The eco system Storage Storage packages follow the following naming convention gdpr guard lt storage gt They almost always expose a class implementing the GdprSavior interface gdpr guard local to save the GDPR settings in local storage by default you can also provide your own store implementation Bindings UI generation helpers Binding packages follow the following naming convention lt binding gt gdpr guard dom gdpr guard is the Vanilla JS binding that helps with rendering Elements for your GDPR settings UIvue gdpr guard is the Vue binding that provides a plugin and renderless components to help building your UIreact gdpr guard the React hooks based binding to help building your UI WIP vue gdpr guard is the Vue binding that provides composition API tools to help building your UI WIP html gdpr guard is HTML Vanilla JS binding that helps with building your GDPR manager from information already existing in the DOM WIP What do you think I d love to hear what you think about it Does it seem interesting compared to rd party utilities that require back and forth with their servers or yours Does it feel easy to use What would you like to see What would you like to change Anything really Hope you at least enjoyed discovering it I ve been using it for at least years on personal and professional projects So far it s been working great My two cents as the creator and user Being able to fully detail every piece of data stored grabbed is huge and not seen that often The flexibility of choosing to have groups or not groups within groups etc is pretty nice to have The fact that I designed the API to be mostly asynchronous also helps in situations where sessions are stored in your DB and you d like to manage that here e g if you conditionally render scripts	2022-03-23 22:32:20
海外TECH	DEV Community	Illustrated Snapshot Testing	https://dev.to/behzadam/illustrated-snapshot-testing-45h9	Illustrated Snapshot TestingFirst I want to say that for many cases you don t need to use snapshot testing You can find a good article here What Are Proper Use Cases For Snapshot Testing React Components Second if you are interested in software quality and testing then it is better to know about tools and concepts although some of them are rarely used Let s take a look at how snapshot testing works example is in Jest expect component toMatchSnapshot The process The result Some tips Visual regression testing tools take screenshots of web pages and compare the resulting images pixel by pixel With Snapshot testing values are serialized stored within text files and compared using a diff algorithm and this is why it s made Commit snapshots and review them as part of your regular code review process Resources Jest Snapshot TestingYoutubeSnapshot testing React components with Jest	2022-03-23 22:15:17
海外科学	NYT > Science	Sinovac Booster Gives Elderly Stronger Protection Against Omicron, Study Finds	https://www.nytimes.com/2022/03/23/health/sinovac-coronavirus-booster-hong-kong.html	against	2022-03-23 22:51:47
海外科学	NYT > Science	NASA Plans to Give SpaceX Some Company on the Moon	https://www.nytimes.com/2022/03/23/science/nasa-moon-landing.html	NASA Plans to Give SpaceX Some Company on the MoonThe agency will seek bids for future lunar landing spacecraft from companies other than SpaceX which won the first contract to return American astronauts to the moon	2022-03-23 22:49:53
医療系	医療介護 CBnews	ギャンブル依存症、治療技術向上目的に研修開催も-島根県が対策推進計画の素案公表	https://www.cbnews.jp/news/entry/20220323173722	人材育成	2022-03-24 08:00:00
金融	金融総合：経済レポート一覧	ゴールデンウイーク中に強烈な引き締めイベント（５月FOMC）：Market Flash	http://www3.keizaireport.com/report.php/RID/488992/?rss	fomcmarketflash	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	FX Daily（3月22日）～ドル円、6年ぶりの121円台に上昇	http://www3.keizaireport.com/report.php/RID/488993/?rss	fxdaily	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	BIS国際資金取引統計および国際与信統計の日本分集計結果（2021年12月末現在）	http://www3.keizaireport.com/report.php/RID/488994/?rss	日本銀行	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	注目高まるサステナビリティ・リンク・ボンドの特徴と今後の展望～多様化しながら拡大するSDGs債の押さえておくべきポイント：金融・証券市場・資金調達	http://www3.keizaireport.com/report.php/RID/489001/?rss	大和総研	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	The Return on Private Capital: Rising and Diverging	http://www3.keizaireport.com/report.php/RID/489006/?rss	capitalrisinganddiverging	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	退職後の収入確保に挑む：個人の資産運用	http://www3.keizaireport.com/report.php/RID/489008/?rss	資産運用	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	債券投資家のためのインフレTIPS：債券	http://www3.keizaireport.com/report.php/RID/489009/?rss	発表	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	コロナ禍における地域銀行の経営課題：Issue Brief	http://www3.keizaireport.com/report.php/RID/489025/?rss	issuebrief	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	鉄のカーボンニュートラルに向けて：日本株運用者の視点	http://www3.keizaireport.com/report.php/RID/489035/?rss	運用	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	ウクライナ危機の中で選好される豪ドル相場：オーストラリアレポート	http://www3.keizaireport.com/report.php/RID/489038/?rss	選好	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	米ドル高・円安はどこまで進むか～日米5年国債金利差との相関から想定される水準：マーケットレター	http://www3.keizaireport.com/report.php/RID/489039/?rss	投資信託	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	企業金融支援と資源配分～研究の潮流と新型コロナウイルス感染症拡大後の動向	http://www3.keizaireport.com/report.php/RID/489042/?rss	新型コロナウイルス	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	円買い理由が見当たらない～マーケット・カルテ４月号	http://www3.keizaireport.com/report.php/RID/489043/?rss	研究所	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	オピニオン：脱炭素社会への移行を支えるトランジション・ファイナンスの役割と課題	http://www3.keizaireport.com/report.php/RID/489053/?rss	日本総合研究所	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	政策保有株式に対するSMTAMの考え方、縮減に向けた取り組みについて　1.はじめに　2.政策保有株式の歴史的背景	http://www3.keizaireport.com/report.php/RID/489066/?rss	smtam	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	政策保有株式に対するSMTAMの考え方、縮減に向けた取り組みについて　3.SMTAMの考える政策保有株式の問題点	http://www3.keizaireport.com/report.php/RID/489067/?rss	smtam	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	世界を動かす米国の金融政策と中間選挙	http://www3.keizaireport.com/report.php/RID/489070/?rss	中間選挙	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	バーゼル銀行監督委員会による「人工知能と機械学習に関するニューズレター」の公表について	http://www3.keizaireport.com/report.php/RID/489086/?rss	人工知能	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	みずほ経済・金融マンスリー 2022年3月23日号～世界の感染動向：アジア太平洋地域の感染急増に加え、欧州も再拡大の動き...	http://www3.keizaireport.com/report.php/RID/489090/?rss	Detail Nothing	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	GPIFの国内株式運用機関が選ぶ「優れたTCFD開示」	http://www3.keizaireport.com/report.php/RID/489100/?rss	年金積立金管理運用独立行政法人	2022-03-24 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】リカレント教育	http://search.keizaireport.com/search.php/-/keyword=リカレント教育/?rss	検索キーワード	2022-03-24 00:00:00
金融	金融総合：経済レポート一覧	【お薦め書籍】5秒でチェック、すぐに使える! 2行でわかるサクサク仕事ノート	https://www.amazon.co.jp/exec/obidos/ASIN/4046053631/keizaireport-22/	結集	2022-03-24 00:00:00
ニュース	@日本経済新聞 電子版	ロシアがウクライナ侵攻を始めて1カ月になりました。「短期決戦」を想定していたロシア側の損害は、戦況の膠着でどれくらいに膨らんでいるのでしょうか。3月24日、日本経済新聞朝刊のポイントをお届けします。 #朝刊1面を読もう https://t.co/2z4TZyETgn	https://twitter.com/nikkei/statuses/1506756457685045248	ロシアがウクライナ侵攻を始めてカ月になりました。	2022-03-23 22:15:08
ニュース	@日本経済新聞 電子版	青森銀行とみちのく銀行の持ち株会社、プロクレアホールディングスの設立を認可。県内貸し出しシェアは約7割となり独占禁止法を当てはめない特例法の適用第1号に。総資産額は東北6県の地銀で3位になります。 https://t.co/QqDpl2PShT	https://twitter.com/nikkei/statuses/1506755180234252292	青森銀行とみちのく銀行の持ち株会社、プロクレアホールディングスの設立を認可。	2022-03-23 22:10:03
ニュース	BBC News - Home	Ukraine war: BBC World Service granted emergency funding	https://www.bbc.co.uk/news/uk-60852833?at_medium=RSS&at_campaign=KARANGA	disinformation	2022-03-23 22:44:17
ニュース	BBC News - Home	Arsenal grab late draw in Women's Champions League quarter-final	https://www.bbc.co.uk/sport/football/60839353?at_medium=RSS&at_campaign=KARANGA	Arsenal grab late draw in Women x s Champions League quarter finalArsenal snatch a late equaliser as they drew against Wolfsburg at Emirates Stadium in the first leg of their Champions League quarter final	2022-03-23 22:14:46
北海道	北海道新聞	ルノー、モスクワ工場停止　ウクライナ大統領批判で	https://www.hokkaido-np.co.jp/article/660418/	大統領批判	2022-03-24 07:14:04
北海道	北海道新聞	坂本首位、ペア三浦組３位　世界フィギュア第１日	https://www.hokkaido-np.co.jp/article/660394/	世界選手権	2022-03-24 07:03:49
ビジネス	東洋経済オンライン	就活生を失望させる｢残念な採用担当者｣の発言 NG項目知らず不適切発言をしてしまう大人たち | 就職四季報プラスワン | 東洋経済オンライン	https://toyokeizai.net/articles/-/540005?utm_source=rss&utm_medium=http&utm_campaign=link_back	不適切発言	2022-03-24 07:30:00
GCP	Cloud Blog	Introduction to Google Cloud	https://cloud.google.com/blog/topics/developers-practitioners/introduction-google-cloud/	Introduction to Google CloudImagine you are a Google Cloud Architect for foo com an internet accessible application There are many different ways to architect such an application on Google Cloud no one way is right or wrong Let s examine one approach from the perspective of a generic request flow for when a user opens the browser and types foo com in the address bar  Domain Name System DNS  The request goes to the DNS server which responds back with an IP address Cloud DNS is Google s infrastructure for high volume authoritative DNS serving that offers SLA which means it never goes down It uses Google s global network of anycast name servers to serve DNS zones from redundant locations around the world providing high availability and low latency for your users  Web and application servers The IP address obtained from the DNS is used by the user s computer to make a connection to the web server where the code for the foo com frontend is deployed The application s business logic is deployed on the application server This includes functionalities such as authentication service inventory payment service and so on Requests to this application server are usually limited to only web servers and internal services The web and application servers are housed inside VPC which provides managed networking functionality for all Google Cloud resources Click to enlargeFor web and application servers you have multiple options across Cloud Run App Engine GKE and Compute Engine Check out where I should run my stuff for more details Serverless If you have a team of developers you want them to focus on coding and not worry about infrastructure and scaling tasks Cloud Run or App Engine would be great picks Both are serverless and scale from low to high traffic as needed If you want to run serverless containers serving web and event driven microservices architectures then Cloud Run is recommended Cloud Run should work for most use cases check out App Engine if you are developing websites with built in static file hosting  Google Kubernetes Engine GKE If you want to run containerized apps with more configuration options and flexibility then you can use GKE It helps you easily deploy containerized apps with Kubernetes while giving you control over the configuration of nodes  Scaling is also easy you can define the number of nodes to scale to as traffic grows GKE also offers autopilot when you need the flexibility and control but have limited ops and engineering support  Compute Engine Your other maximum control option is Compute Engine It is straight up virtual machines VMs so you can precisely define the configuration of your machines depending on the amount of memory and CPU you need This level of control however means you have more responsibility to scale manage patch and maintain the VMs as needed Compute Engine works well for legacy applications with specific needs and in situations that truly require full control  Database Of course foo com needs one or more databases to store information These could be relational or non relational databases depending on the type of data and the use case   For more detailed guidance on picking the right database for your use case see Your Google Cloud database options explained  Google Cloud relational databases include Cloud SQL and Cloud Spanner which are both managed  Cloud SQL is perfect for generic SQL needs MySQL PostgreSQL and SQL server  Spanner is best for massive scale relational databases that need horizontal scalability Massive here means thousands of writes per second and tens of thousands of reads per second while supporting ACID transactions For non relational databases Google Cloud has three major options Firestore Bigtable and Memorystore  Firestore is a serverless document database that provides strong consistency supports ACID transactions and delivers fast results to complex queries It also supports offline data and syncs which make it a great choice for mobile use cases along with web IoT and gaming  Bigtable is a wide column NoSQL database that supports heavy reads and writes with extremely low latency This makes it a perfect choice for events time series data from IoT devices click stream data ad events fraud detection recommendations and other personalization related use cases  Memorystore is a fully managed in memory data store service for Redis and Memcached It s best for transient stores and database caches  Load balancing and scaleAs the traffic grows you will need to scale the web and application servers with it And as the number of servers grows you will need a load balancer to route traffic to the web and application servers Cloud Load Balancing is a fully distributed and software defined system based on anycast IP addresses which means you can set up your frontend with a single IP address It is also global so it can serve content as close as possible to your users and respond to over a million queries per second  You can set up content based routing decisions based on attributes such as the HTTP header and uniform resource identifier It also offers internal load balancing for internal application servers so you can route traffic amongst them as needed Content delivery network CDN Static files don t change often so CDN is used to cache these files and serve them from a location closest to the user which helps reduce latency Right at the load balancer you also have the option to enable Cloud CDN to cache frequently requested media and web content at the edge location closest to your users This reduces latency and optimizes for last mile performance It also saves cost by fielding requests right at the edge so they don t have to be handled by the backend   Object store All static files for foo com such as media files and images as well as CSS and JavaScript can be stored in an object store In Google Cloud Cloud Storage is your object store for both long and short term storage needs  Serverless functions Let s say foo com is also available on mobile devices which need images rendered in smaller mobile formats You can decouple functionality like this from the web server and make it a function as a service with Cloud Functions This approach enables you to apply your image resizing logic to other applications as well You can trigger the serverless function as soon as a file is added to Cloud Storage and convert the file into multiple formats storing them back into storage where they are used by the web server You could also use serverless functions for other use cases such as address lookups chatbots machine learning and more EventsIn certain situations foo com might need to send messages notifications to the user or events between various microservices This is where an asynchronous messaging service such as Cloud Pub Sub can be used to push notifications to a topic and have other services subscribe to the topic and take appropriate action on it asynchronously Data analytics Applications like foo com generate real time data for example clickstream data and batch data for example  logs This data needs to be ingested processed and made ready for downstream systems in a data warehouse From there it can be analyzed further by data analysts data scientists and ML engineers to gain insights and make predictions You can ingest batch data from Cloud Storage or BigQuery and real time data from the application using Pub Sub and scale to ingesting millions of events per second Dataflow based on open source Apache Beam can then be used to process and enrich the batch and streaming data If you are in the Hadoop ecosystem then you can use Dataproc for processing it is a managed Hadoop and Spark platform that lets you focus on analysis instead of worrying about managing and standing up your Hadoop cluster  To store the processed data you need a data warehouse BigQuery is a serverless data warehouse that supports SQL queries and can scale to petabytes of storage It can also act as long term storage and a data lake along with Cloud Storage You can use data from BigQuery to create a dashboard in Looker and Data Studio With BigQuery ML you can create ML models and make predictions using standard SQL queries  Machine learningFor ML AI projects you can use the data in BigQuery to train models in Vertex AI Your media image and other static file datasets from Cloud Storage can be directly imported into Vertex AI You can create your own custom model or use the pretrained models It s a good idea to start with a pretrained model and see if it works for you Most common use cases are covered including image text video and tabular data If a pretrained model does not work for your use case then use the AutoML model in Vertex AI to train a custom model on your own dataset AutoML supports all the common use cases and requires no code In case you have lots of ML and data science expertise in house then you may decide to write your own custom model code in the framework of your choice More on this in an upcoming post Operationsfoo com needs to be holistically monitored to make sure the servers and every part of its architecture is healthy Google Cloud s operations suite offers all the tools needed for logging monitoring debugging and troubleshooting your application and infrastructure  DevOps You also need to make sure the foo com development and operations teams have the right access and the right tools to build the application and deploy it As Developers write the code for the app they can use Cloud Code within the IDE to push the code to Cloud Build which then packages and tests it runs vulnerability scans on the code invokes Binary Authorization to check for trusted container images and once the tests are passed deploys the package to staging From there you can create a process to review and promote to production Container images are stored in Artifact Registry from where they can be deployed to GKE or Cloud Run Compute Engine images are stored in your project Security foo com needs to be secured at the data application user identity infrastructure and compliance level This topic will be covered in detail in an upcoming post  Wrap up That was one way of building a web application like foo com on Google Cloud I have provided you with a starting point and possibilities from here are endless Interested in getting started with building websites on Google Cloud Check out these resources For more GCPSketchnote and similar cloud content follow me on twitter pvergadia and keep an eye out on thecloudgirl dev	2022-03-23 22:30:00