投稿時間:2021-06-25 01:43:59 RSSフィード2021-06-25 01:00 分まとめ(62件)

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IT	気になる、記になる…	Instagram、デスクトップから写真を投稿出来る機能を正式に展開開始	https://taisy0.com/2021/06/25/142264.html	利用可能	2021-06-24 15:40:52
IT	気になる、記になる…	Microsoft、｢Windows 11｣を正式に発表	https://taisy0.com/2021/06/25/142259.html	microsoft	2021-06-24 15:29:39
TECH	Engadget Japanese	マイクロソフト Windows 11 発表。UI / ストア / ゲーミング全般を刷新、正式リリースは年末	https://japanese.engadget.com/windows-11-155045681.html	whatsnextforwindows	2021-06-24 15:50:45
IT	ITmedia 総合記事一覧	[ITmedia PC USER] 「Windows 11」登場　Windows 10の後継OS	https://www.itmedia.co.jp/pcuser/articles/2106/25/news059.html	itmediapcuser	2021-06-25 00:30:00
IT	ITmedia 総合記事一覧	[ITmedia News] 「Windows 11」発表　Androidアプリが動作するように【更新中】	https://www.itmedia.co.jp/news/articles/2106/25/news058.html	itmedia	2021-06-25 00:23:00
AWS	AWS News Blog	New – AWS BugBust: It’s Game Over for Bugs	https://aws.amazon.com/blogs/aws/new-aws-bugbust-its-game-over-for-bugs/	New AWS BugBust It s Game Over for BugsToday we are launching AWS BugBust the world s first global challenge to fix one million bugs and reduce technical debt by over million You might have participated in a bug bash before Many of the software companies where I ve worked including Amazon run them in the weeks before launching a new product or service …	2021-06-24 15:03:57
AWS	AWS	AWS BugBust: The World's First Bug Busting Challenge for Developers	https://www.youtube.com/watch?v=PqcUngyAXgc	AWS BugBust The World x s First Bug Busting Challenge for DevelopersGet started today with AWS BugBust AWS BugBust is the world s first global challenge for developers to eliminate software bugs improve application reliability and save money for their organizations in a fun and engaging format AWS BugBust is powered by Amazon CodeGuru Reviewer and Amazon CodeGuru Profiler developer tools that use machine learning to identify an application s most expensive lines of code and provide intelligent recommendations to improve code quality by identifying critical security availability and performance issues With just a few clicks Java and Python developers from around the world can join the challenge by creating an AWS BugBust event for their organization in the AWS console and compete for prizes by claiming and busting bugs in their applications The more bugs developers fix the higher they climb the AWS BugBust leaderboard to receive achievement badges exclusive prizes and a chance to attend AWS re Invent in Las Vegas Subscribe More AWS videos More AWS events videos AWSBugBust MachineLearning AmazonCodeGuru BugBustChallenge AWS TriptoreInvent SoftwareBugs BugBust	2021-06-24 15:02:05
AWS	AWS	How do I resolve a CORS error for my API Gateway REST API?	https://www.youtube.com/watch?v=wGDiOkqtUWA	How do I resolve a CORS error for my API Gateway REST API Skip directly to the demo For more details see the Knowledge Center article with this video Pallavi shows you how to resolve a CORS error for your API Gateway REST API	2021-06-24 15:00:38
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	PHP JSONの多次元配列から値を取得したい	https://teratail.com/questions/345947?rss=all	PHPJSONの多次元配列から値を取得したい閲覧ありがとうございます。	2021-06-25 00:55:35
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	GAS 保護　特定のセルを除く	https://teratail.com/questions/345946?rss=all	部分	2021-06-25 00:51:21
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	jqueryでhtmlにタグを差し込む方法	https://teratail.com/questions/345945?rss=all	jqueryでhtmlにタグを差し込む方法現在jqueryの勉強をしているのですが、jqueryで書いたタグがhtmlに反映されない状態です。	2021-06-25 00:29:45
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	jupyterlabが起動できません	https://teratail.com/questions/345944?rss=all	jupyterlabが起動できません前提・実現したいことpythonをインストールし、jupyterlabを活用したいと思っています。	2021-06-25 00:20:27
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	精度を指定した実数値をテキストファイルに出力したい	https://teratail.com/questions/345943?rss=all	float	2021-06-25 00:18:48
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	rails 個数選択実装　javascriptクラス所得　苦戦　index	https://teratail.com/questions/345942?rss=all	rails個数選択実装javascriptクラス所得苦戦index前提・実現したいことrailsでEcサイト的なシステムを作っています。	2021-06-25 00:15:55
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	基本正規表現について	https://teratail.com/questions/345941?rss=all	echogrep	2021-06-25 00:03:06
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	[WPF] DataTriggerのValueにはバインドできない？	https://teratail.com/questions/345940?rss=all	相手の発言が左、自分の発言が右に来るようにListBoxのStyleを動的に変更しようとしました。	2021-06-25 00:01:45
Ruby	Rubyタグが付けられた新着投稿 - Qiita	【解決】Linux Mint に Red OpenCV を インストールしようとして苦労したメモ	https://qiita.com/yamahei/items/e2c69cdf24befee0c033	RedOpenCVはUbuntu、Debian、CentOS用のインストールパッケージが準備されていますとりあえずOpenCVのインストールネット上ではOpenCVをソースコードからインストールする手順がたくさん見つかります。	2021-06-25 00:30:10
Ruby	Rubyタグが付けられた新着投稿 - Qiita	市場価値０の34歳からのテックキャンプ卒業からの転職	https://qiita.com/HasePro3/items/af21e4fb6be6f4b07bb5	なにかしらの市場価値のある方は違うと思いますが、全くの未経験での話ただ、就活して思ったのは「一年の実務経験」があれば好条件なものはあるという事、一年フルコミットで転職もあり転職後も勉強は継続先にも書きましたが年で言語の価値が変わる世界らしいので日々勉強が必要だそうです。	2021-06-25 00:11:59
Ruby	Railsタグが付けられた新着投稿 - Qiita	市場価値０の34歳からのテックキャンプ卒業からの転職	https://qiita.com/HasePro3/items/af21e4fb6be6f4b07bb5	なにかしらの市場価値のある方は違うと思いますが、全くの未経験での話ただ、就活して思ったのは「一年の実務経験」があれば好条件なものはあるという事、一年フルコミットで転職もあり転職後も勉強は継続先にも書きましたが年で言語の価値が変わる世界らしいので日々勉強が必要だそうです。	2021-06-25 00:11:59
技術ブログ	Developers.IO	[CMガジェット部]4K＠60Hz HDMI、GbE、5ポートのUSBを拡張できる LENTION CB-D53s を試してみた	https://dev.classmethod.jp/articles/lention-4k60hz-cb-d53s/	khzhdmi	2021-06-24 15:07:30
海外TECH	DEV Community	Awesome dataviz tools for software developers 📊📈	https://dev.to/cubejs/awesome-dataviz-tools-for-software-developers-3ppi	Awesome dataviz tools for software developers TL DR We ve built awesome cube dev to help you choose the best charting libraries and other tools for your needs Please have a look it s awesome Hey friends Have you ever wondered which tool or library to choose to add a chart a map or maybe a data grid to your app built with the BEST FRONTEND FRAMEWORK and the BEST PROGRAMMING LANGUAGE I m happy to know for sure that you have Just a few months ago I talked to developers in the Cube js community and also ran this survey that got dozens of replies DEV Survey ーFront end Data Visualization Tools Igor Lukanin for Cube js・Mar ・ min read javascript webdev discuss On behalf of the Cube js team let me share what I learned Choosing a tool is hard I discovered that there re two types of criteria that developers evaluate when the need to choose a dataviz tool arise First you need to check if a particular tool is compatible with the technology stack that you re using and by that I mean the front end framework and the programming language Obviously Recharts is a neat tool but there s no way to use it in a Vue app because it s purposefully built for React Same is true for the language according to the survey of all developers use TypeScript so making sure that the tool has built in type definitions or something available via DefinitelyTyped is also crucial It s also nice to check the license Discovering that something that you ve already built into your app is not open source and free to use may be painful In the other case when you specifically look for a paid tool with enterprise support checking the license and pricing beforehand is crucial as well According to the survey of all developers use paid tools Then you ll see how easy it is to get started the hard way The adoption curve is heavily influenced by the ease of use and available docs and examples Developers particularly praised the tools that have readily available getting started pages with code examples as well as the tools with excessive number of examples D js and ECharts are obvious winners in this category In the end you might face the sad truth a tool is rooted in the past Your success will depend on the flexibility that a tool can provide for your use cases And if it can t soon you ll find yourself checking if there s much activity in the issues and pull requests sections on GitHub Let s hope you ll find that a tool currently has a vibrant and active community Now choosing a tool is easy Equipped with this evidence we ve committed to solve the dataviz tools choice problem once and for all We ve built an open source list of data visualization tools for software developers that will support you at every step In the very beginning you ll have the chance to pick the front end framework of your choice and specify if you care about TypeScript support If you re an open source aficionado there s an option for that too Also if you come for something specific e g a data grid you ll have a filter for that as well In an instant you ll see the awesome tools matching your criteria For those tools that gathered a lot of mentions in the survey results you ll see badges like Easy to customize or Full fledged that you can use to set expectation Definitely feel free to pick some candidates and dive deep into their pages You ll be able to build understanding what to expect in terms of flexibility and the community dynamics Checking the last release date and the number of outstanding issues are also wise things to do Ready to get started You ll find links to tutorials and guides that hopefully will help you get on track And if you re stuck there re a few links for that too As the last but not the least resort feel free to come and join Cube js community on Slack It has thousands of developers building apps for which Cube js serve as the open source API layer that delivers data to the dataviz tools on the front end Now it s time to visit awesome cube dev and see it in action If you like it don t hesitate to share a link with your friends In any case leave us a comment we d love to know what you think P S Just like Cube js awesome cube dev is open source We appreciate your issues and pull requests	2021-06-24 15:54:50
海外TECH	DEV Community	ASP.NET Core Identity User Locked out	https://dev.to/meuequalsd/asp-net-core-identity-user-locked-out-3bb0	ASP NET Core Identity User Locked outThe user lockout feature is the way to improve application security by locking out a user that enters a password incorrectly several times This technique can help us in protecting against brute force attacks where an attacker repeatedly tries to guess a password Quite a basic feature for an authentication service but adding it in my Web API app was quite a head scratcher Adding to configuration serviceIn your startup cs or container configuration file the config for locking out can be set services AddIdentity lt User IdentityRole gt opt gt previous code removed for clarity reasons opt Lockout AllowedForNewUsers true opt Lockout DefaultLockoutTimeSpan TimeSpan FromMinutes opt Lockout MaxFailedAccessAttempts The property names are self explanatory here The above code will by default setup locking out feature and if a person is trying to login with wrong password for a given username the user account will be locked out for minutes updated accordingly in LockoutEnd column How to check if this user is Locked Out AuthService cs var result await signInManager CheckPasswordSignInAsync user model Password lockoutOnFailure true The properties of result SignInResult we are concerned here are Succeeded IsLockedOut Succeeded true if the username and password matchSucceeded false if the username and password do not matchIsLockedOut true if this user has been locked out after x number of trials What is here to scratch your hear forI was expecting LockOutEnabled will become true in the identity user table It took me few hours to get to the documentation but it was stated clearly in the Library class Microsoft AspNetCore Identity IdentityUser Gets or sets a flag indicating if the user could be locked out public virtual bool LockoutEnabled get set I missed the could be and it costed me some hours Updating this column to true for necessary users then locks out the user for particular a time limit set in the configThe proper logging and an error can be thrown with result IsLockedOut flag from the service layer ReferencesUsing UserManager CheckPasswordAsync versus SignInManager PasswordSignInAsyncUser Lockout with ASP NET Core Identity	2021-06-24 15:20:39
海外TECH	DEV Community	Light/dark mode, React implementation	https://dev.to/ayc0/light-dark-mode-react-implementation-3aoa	Light dark mode React implementation IntroductionIn the previous posts we saw how to use CSS to handle different themes handle system themes and also user picked themes store the previously picked theme for next visits how to avoid theme blink on page reload In this post we ll see how we can use everything together and add React and a remote database for fun in this mix The goal is to show the backbone of what could be the actual code you d use to handle themes in your app Table of contentsFlow of the logic we ll implementFirst visit everFirst visit on a new browserRe visitResultsExplanationsHTMLColor schemeCSSBlocking scriptJavaScriptBase variablesReact contextInitialization of the modeDatabase syncSave back the modeInitialization of the modeSystem theme updateApply the theme back to the HTMLDefining the contextConclusion Flow of the logic we ll implementThe following flow is related to a frontend app not a server side rendered website like what you would have in PHP Users are loading your websiteWe are applying in a blocking way the previously picked theme it can be a wrong one A fetch is performed on your database to retrieve their favorite mode light dark system The favorite mode is saved in their browser for future visitsThe mode is saved in a react context for reactive updates if needed When the mode changes it is saved locally for future uses a request is performed against your database and the react context is updated First visit everYour users won t have any entry in your database and they won t have any local data saved either So we ll use the system mode as a fallback First visit on a new browserYour users won t have any local data so while the request is being done against your database to retrieve their preferred mode we ll use the system one to avoid unwanted flashes Re visitThe mode they previously picked on this browser will be initially picked And then possibilities they haven t changed their preferred mode on another device so the local one matches the remote one gt no differences and no flashes this is the flow during a page refresh they have changed it and here we ll have a small flash at the initial re visit but we cannot prevent that Results Explanations HTML Color schemeAs in all other posts of this series we have the following in the head ensuring that native elements will respond to the correct theme and the id is for changing its value from the JS lt meta id colorScheme name color scheme content light dark gt CSSI went with something simple for the CSS classnames light and dark and I m updating css variables than in the end control the look of the main body body light color background fff body dark color cecece background body color var color background var background Blocking scriptAs we want to avoid flicker during page loads I added a small blocking script tag performing only synchronous actions that only checks for the most basic requirements to determine to best theme to display lt script gt const mode localStorage getItem mode system let theme if mode system const isSystemInDarkMode matchMedia prefers color scheme dark matches theme isSystemInDarkMode dark light else for light and dark the theme is the mode theme mode document body classList add theme lt script gt JavaScript Base variablesFirst we need to determine our variables I m gonna use mode for the saved modes light dark system and theme for the visual themes light dark Saved modetype Mode light dark system Visual themestype Theme light dark React contextAs we want to be able to provide some informations about the current mode theme and also a way for users to change the mode we ll create a React context containing everything const ThemeContext React createContext lt mode Mode theme Theme setMode mode Mode gt void gt mode system theme light setMode gt Initialization of the modeWe ll use a state as its value can change and it should trigger updates to store the mode With React useState you can provide a function called a lazy initial state that will only get called during the st render const mode setMode React useState lt Mode gt gt const initialMode localStorage getItem localStorageKey as Mode undefined system return initialMode Database syncNow that we have a mode state we need to update it with the remote database To do so we could use an effect but I decided to use another useState which seems weird as I m not using the returned state but as mentioned above lazy initial states are only called during the st render This allows us to start the backend call during the render and not after in an effect And as we re starting the API call earlier we ll also receive the response faster This will only get called during the st renderReact useState gt getMode then setMode Save back the modeWhen the mode changes we want to save it in the local storage to avoid flashes on reload in the database for cross device support An effect is the perfect use case for that we pass the mode in the dependencies array so that the effect will be called every time the mode changes React useEffect gt localStorage setItem localStorageKey mode saveMode mode database mode Initialization of the modeNow that we have a way to get save and update the mode we need a way to translate it to a visual theme For this we will use another state because theme change should trigger an update We ll use another lazy initial state to synchronize the system mode with the theme users picked for their devices const theme setTheme React useState lt Theme gt gt if mode system return mode const isSystemInDarkMode matchMedia prefers color scheme dark matches return isSystemInDarkMode dark light System theme updateIf users picked the system mode we need to track down if they decide to change it from light to dark while still being in our system mode which is why we are also using a state for the theme To do so we ll also use an effect that will detect any changes in the mode In addition to that when users are in the system mode we ll get their current system theme and start an event listener to detect any changes in their theme React useEffect gt if mode system setTheme mode return const isSystemInDarkMode matchMedia prefers color scheme dark If system mode immediately change theme according to the current system value setTheme isSystemInDarkMode matches dark light As the system value can change we define an event listener when in system mode to track down its changes const listener event MediaQueryListEvent gt setTheme event matches dark light isSystemInDarkMode addListener listener return gt isSystemInDarkMode removeListener listener mode Apply the theme back to the HTMLNow that we have a reliable theme state we can make so that the CSS and the HTML follows this state React useEffect gt Clear previous classNames on the body and add the new one document body classList remove light document body classList remove dark document body classList add theme change lt meta name color scheme gt for native inputs document getElementById colorScheme as HTMLMetaElement content theme theme Defining the contextNow that we have all the variables we need the last thing to do is to wrap the whole app in a context provider lt ThemeContext Provider value theme mode setMode gt children lt ThemeContext Provider gt And when we need to refer to it we can do const theme mode setMode React useContext ThemeContext ConclusionHandling multiple themes isn t trivial especially if you want to provide the best experience possible for users while having handy tools for your fellow developers Here I only presented one possible way of handling this and it can be refined improved and expanded for other use cases But even if your logic requirements are different the flow presented at the beginning shouldn t be that different from the one you should adopt And if you want to have a look at the full code I wrote in the example you can find it here	2021-06-24 15:16:28
海外TECH	DEV Community	Logging vs Tracing: Why Logs Aren’t Enough to Debug Your Microservices	https://dev.to/aspecto/logging-vs-tracing-why-logs-aren-t-enough-to-debug-your-microservices-4jgi	Logging vs Tracing Why Logs Aren t Enough to Debug Your MicroservicesWhen debugging microservices it can be challenging for developers to identify the root cause of issues Not to mention how frustrating it is to search through endless logs across multiple services and the time it takes them With all these challenges however there is a silver lining ーdistributed tracing Distributed tracing can help your developers with tracking requests across services but more on that later Let s dive into what is distributed tracing its benefits and the role it plays in your teams system Then we ll cover which tools developers can use to implement distributed tracing in a cloud native environment But first to understand where tracing fits in your microservices debugging process and why you might even need them in the first place let s identify the challenges that debugging with logs pose Log Debugging ChallengesLogs can be very useful when we are trying to understand an unexpected response or a production failure However logs don t have unlimited capabilities Here are some of the challenges they pose for your developers when they are debugging microservices Logging Is a Manual Time Consuming ProcessAdding logs is not an automatic process and it requires a lot of meticulous manual work Identifying all the potential information that will be needed for debugging adding the logs removing them if necessary these all take a long time and require a lot of effort Also the process is error prone Developers might be spending a lot of time adding logs but will still miss the exact information they need in production It s Hard to Find the Right BalanceDevelopers need to ensure they have enough logs for debugging but not too many logs so that the code is too heavy and they waste too much time on adding and analyzing them It s hard to create this balance If they haven t logged enough information they ll miss data for debugging If they logged too much the process becomes resource intensive and makes log analysis much more difficult Tracking Logs across Services Is DifficultTracking and analyzing log entries across multiple services containers and processes is challenging The developer has to be able to make sense of the relationship between all the different logs which requires understanding the code flow in different services and correlating them to logs They have to go through the process of transforming raw text logs into visualization in their minds This takes a very very long time Even companies that have added unique identifiers to their instrumentation to enable tracking have difficulties maintaining and updating them Not to mention ensuring all developers are up to speed about their homegrown identifier conventions Logs Aren t StandardizedLogs do not have a structured format meaning that any developer can create messages and events according to their style While this provides flexibility and freedom it can be challenging and counter productive for your team to try to understand someone else s logs or to explain them Also lack of standardization leaves more room for human error Log Debugging FailAs a result logs won t always provide the required information to solve performance and regressions There are many solutions out there that try to overcome these challenges These include standardization conventions best practices analysis tools and more But maybe we need to realize that logging has its limitations and that your team needs another solution for debugging microservices And that solution is tracing What Is Distributed Tracing Traces complement logs While logs provide information about what happened inside the service distributed tracing tells you what happened between services components and their relationships This is extremely important for microservices where many issues are caused due to the failed integration between components Also logs are a manual developer tool and can be used for any level of activity a specific low level detail or a high level action This is also why there are many logging best practices available for developers to learn from On the other hand traces are generated automatically providing the most complete understanding of the architecture Distributed tracing is tracing that is adapted to a microservices architecture Distributed tracing is designed to enable request tracking across autonomous services and modules providing observability into cloud native systems Distributed Tracing AdvantagesWhere logging is bounded distributed tracing thrives Let s see how distributed tracing answers logging limitations when it comes to debugging microservices VisualizationTraces are visual instrumentation As opposed to text logs with traces developers don t have to imagine the communication flows and make up an image in their minds Instead they can see it right before their eyes This makes it easier for developers to understand the relationships between services and to resolve issues like performance bottlenecks AutomationUnlike logs traces are automatic Developers don t have to make the manual effort of adding logs to get the complete picture Instead they automatically get a visualization of what happened This also solved the standardization problem With automated traces the standardization is hard coded in Accelerate Time to MarketDistributed tracing provides observability and a clear picture of the services This improves productivity because it enables developers to spend less time trying to locate errors and debugging them as the answers are more clearly presented to them As a result productivity is increased and developers can spend more time developing features or taking a break while you accelerate time to market Tracking Requests Across ServicesMicroservices interactions span multiple services Distributed tracing enables understanding the system and the relationships between components This is done by tracking and recording all these requests through unique IDs that are passed to the services handling them As a result developers can see the flow and progression of the request across the entire architecture which is often the hardest to understand when debugging Your team s code quality will improve immensely Easy to Use and ImplementWith the right setup developers can work with multiple applications and across different programming languages This is unique for distributed tracing and saves your team a lot of time and headaches by not restricting you to one language or certain apps InsightfulDistributed tracing provides the developer with a lot of insightful information This includes request time information about components latency application health and more All this info can be useful when debugging and during root cause analysis for improving code quality and resolving customer issues quickly When Should We Use Distributed Tracing Great question Here are the three main use cases in which distributed tracing can be helpful for you and your team For a Distributed Application ArchitectureIf your department is using a distributed infrastructure we highly recommend implementing distributed tracing As you can see this is the best method for tracking requests across services with many teams involved and when you have complex processes in place It makes sure you don t waste your time trying to investigate issues across machines or search through endless logs When You Don t Know Which Problem to Look forOne of the reasons developers end up with too many logs is that they want to cover themselves and make sure they have information for all and any scenario that could go wrong But that s the wrong approach This is exactly what traces are for Traces provide you with all the heaps of information you need to analyze yourself without the disadvantages of logs So if you don t know what the problem is you can analyze until you do When You Need ObservabilityDistributed traces provide you with visibility into the system and across all services and the relationships between them You can see the journey requests went through how long they took insights into system health and more You can use distributed tracing not only for identifying why a problem occurred but also to avoid problems with ongoing observability and tracking Distributed Tracing ToolsHopefully by now you re convinced that distributed tracing can make your life easier or at least shorten your debugging time To get you started here are three tools for your team to look into These tools use an open source called OpenTelemetry an observability framework for microservices and a member of the Cloud Native Computing Foundation Here are the tracing tools that will complement your logging efforts especially in a microservices architecture JaegerJaeger is an open source distributed tracing tool It enables transaction monitoring latency optimization and advanced data analysis Jaeger supports most common languages and requires running Kubernetes You can check it out here ZipkinZipkin an open source tool very similar to Jaeger and also provides all distributed tracing capabilities For implementation Zipkin doesn t require containers You can use Docker but you don t have to The difference between the two is minor and in the end it comes to personal preferences and specific technology stack needs AspectoAspecto is like the Chrome DevTools for your distributed applications helping developers find fix and prevent distributed application issues across the entire development cycle Starting with their local dev environment all the way to production Aspecto is OpenTelemetry based and the way it allows developers to prevent issues before they reach production is by implementing telemetry data that learns the system then compares what they do locally to the production staging or other locals baseline data This helps you to validate changes and prevent issues live while you develop It s super easy to install with a one liner SDK and you can give the Live Playground a spin ConclusionDebugging with logs can only get you so far By implementing distributed tracing you can see your requests and services and spend less time debugging Try distributed tracing with an open source tool like Jaeger or Zipkin and if you re looking for that extra boost of predicting the effects of your changes give Aspecto a try for faster feedback and more visibility	2021-06-24 15:10:51
Apple	AppleInsider - Frontpage News	Apple developing tamper-proof camera indicator for AR headset privacy	https://appleinsider.com/articles/21/06/24/apple-developing-tamper-proof-camera-indicator-for-ar-headset-privacy?utm_medium=rss	Apple developing tamper proof camera indicator for AR headset privacyApple is working on a tamper resistant recording light indicator system that could allow people around an Apple Glass or VR headset user to know if they are being filmed Credit AppleInsiderThe company on Thursday filed for two patent applications detailing external recording indicators which are already used on devices like the MacBook Pro However the patent applications specifically name Apple AR or Apple VR devices and detail systems that could make tampering harder Read more	2021-06-24 15:55:04
Apple	AppleInsider - Frontpage News	Google pushes back third-party cookie block until 2023	https://appleinsider.com/articles/21/06/24/google-pushes-back-third-party-cookie-block-until-2023?utm_medium=rss	Google pushes back third party cookie block until A Privacy Sandbox feature for Google Chrome that would block third party cookies has been delayed by a year over what the company says is concern for advertisers Google delays third party cookie deprecationAfter Apple released a series of features to prevent tracking users across apps and the web Google announced a similar initiative The Privacy Sandbox for Google Chrome was meant to end the use of third party cookies and provide new privacy first technologies to users Read more	2021-06-24 15:40:29
Apple	AppleInsider - Frontpage News	Epic CEO decries Apple's App Store 'propaganda' after 10 months of his own	https://appleinsider.com/articles/21/06/24/epic-ceo-decries-apples-app-store-propaganda-after-10-months-of-his-own?utm_medium=rss	Epic CEO decries Apple x s App Store x propaganda x after months of his ownTim Sweeney the man behind the Fortnite ad campaign against Apple claims that corporate propaganda shouldn t be the response to big tech issues Epic Games CEO doesn t believe corporate propaganda is the answerThe Epic Games versus Apple trial may have adjourned but Tim Sweeney is still complaining about Apple s business practices on Twitter While a verdict and action plan from the judge is still pending Fortnite continues its existence off of Apple s platforms Read more	2021-06-24 15:08:50
Apple	AppleInsider - Frontpage News	Blowout deal: Intel 13-inch MacBook Pro (16GB RAM, 512GB) dips to $1,499	https://appleinsider.com/articles/21/06/24/blowout-deal-intel-13-inch-macbook-pro-16gb-ram-512gb-dips-to-1499?utm_medium=rss	Blowout deal Intel inch MacBook Pro GB RAM GB dips to Post Prime Day deals continue to drive down prices on MacBooks with Apple s GHz Core i inch MacBook Pro with GB of memory and a GB SSD now off Limited inventoryShoppers can secure the discount at Amazon on the robust Intel MacBook Pro inch with units in stock soon according to Amazon Read more	2021-06-24 15:22:35
海外TECH	Engadget	Microsoft Store is getting a much-needed overhaul for Windows 11	https://www.engadget.com/windows-11-microsoft-store-redesign-154155457.html?src=rss_b2c	payment	2021-06-24 15:41:55
海外TECH	Engadget	Android apps are coming to Windows 11	https://www.engadget.com/microsoft-windows-11-android-apps-154014628.html?src=rss_b2c	android	2021-06-24 15:40:14
海外TECH	Engadget	Microsoft Teams is integrated into the Windows 11 taskbar	https://www.engadget.com/windows-11-microsoft-teams-integrated-153343398.html?src=rss_b2c	Microsoft Teams is integrated into the Windows taskbarAs you are surely aware the importance of online communications platforms skyrocketed over the last year plus thanks to the COVID pandemic Microsoft has pushed its Teams communication platform in a big way during that time and it ll be even more prominent in Windows	2021-06-24 15:33:43
海外TECH	Engadget	Microsoft unveils Windows 11, a more polished OS	https://www.engadget.com/windows-11-launch-microsoft-151140403.html?src=rss_b2c	windows	2021-06-24 15:11:40
海外科学	NYT > Science	Cool Fossils: Alaska Digs Reveal Dinosaurs’ Arctic Lives	https://www.nytimes.com/2021/06/24/science/alaska-dinosurs-fossils.html	coldest	2021-06-24 15:39:28
海外科学	NYT > Science	Prepare Yourself for Little Green Men	https://www.nytimes.com/2021/06/24/books/ufo-books.html	government	2021-06-24 15:26:19
海外科学	NYT > Science	Heart Problems After Vaccination Are Very Rare, Federal Researchers Say	https://www.nytimes.com/2021/06/23/health/coronavirus-vaccine-heart.html	Heart Problems After Vaccination Are Very Rare Federal Researchers SayMore than cases have been reported mostly mild and more often in young men and boys The benefits of vaccination still far outweigh the risks experts said	2021-06-24 15:21:04
金融	◇◇　保険デイリーニュース　◇◇（損保担当者必携！）	保険デイリーニュース(06/25)	http://www.yanaharu.com/ins/?p=4618	三井住友海上火災保険	2021-06-24 15:57:02
金融	RSS FILE - 日本証券業協会	株券等貸借取引状況（週間）	https://www.jsda.or.jp/shiryoshitsu/toukei/kabu-taiw/index.html	貸借	2021-06-24 15:30:00
金融	金融庁ホームページ	第46回金融審議会総会・第34回金融分科会合同会合議事次第について公表しました。	https://www.fsa.go.jp/singi/singi_kinyu/soukai/siryou/2021_0625.html	金融審議会	2021-06-24 17:00:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	ニューサウスウェールズ州、EV戦略を発表	https://www.jetro.go.jp/biznews/2021/06/601a0d3343e22ae3.html	戦略	2021-06-24 15:40:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	通信省、5G入札に向けて訪米、政府や企業と会合	https://www.jetro.go.jp/biznews/2021/06/0108605b81acdc15.html	通信省	2021-06-24 15:30:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	民間病院が行う遠隔医療サービスの基準制定	https://www.jetro.go.jp/biznews/2021/06/607436b10808f0c5.html	民間病院	2021-06-24 15:20:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	財務管理のデジタル化支援プロジェクト発表	https://www.jetro.go.jp/biznews/2021/06/7e91f5b34eff2a29.html	財務	2021-06-24 15:10:00
ニュース	BBC News - Home	Covid: UK's foreign travel 'traffic light' lists due to be announced	https://www.bbc.co.uk/news/uk-57590119	review	2021-06-24 15:14:11
ニュース	BBC News - Home	Woman dies after Scottish cancer screening error	https://www.bbc.co.uk/news/uk-scotland-57596250	cervical	2021-06-24 15:21:45
ニュース	BBC News - Home	Miami building collapse: 51 people unaccounted for	https://www.bbc.co.uk/news/world-us-canada-57592827	florida	2021-06-24 15:26:35
ニュース	BBC News - Home	Canada: 751 unmarked graves found at residential school	https://www.bbc.co.uk/news/world-us-canada-57592243	saskatchewan	2021-06-24 15:53:51
ニュース	BBC News - Home	Covid: Rishi Sunak says he will stop wearing a mask as soon as possible	https://www.bbc.co.uk/news/uk-politics-57596213	chancellor	2021-06-24 15:41:45
ニュース	BBC News - Home	Germany tie 'tough test' for England - Henderson	https://www.bbc.co.uk/sport/football/57600479	Germany tie x tough test x for England HendersonEngland midfielder Jordan Henderson says facing Germany in the European Championship last will be a special game and is an exciting prospect	2021-06-24 15:28:55
ニュース	BBC News - Home	Silverstone to be allowed 140,000 capacity crowd for British Grand Prix	https://www.bbc.co.uk/sport/formula1/57598221	Silverstone to be allowed capacity crowd for British Grand PrixA capacity crowd will be allowed to attend the British Grand Prix at Silverstone on July after the race was added to the UK government s Events Research Programme	2021-06-24 15:08:51
ニュース	BBC News - Home	Covid: When will I get the vaccine?	https://www.bbc.co.uk/news/health-55045639	ireland	2021-06-24 15:25:42
サブカルネタ	ラーブロ	21/179　博多長浜屋台　やまちゃん　銀座店：ワンタンメン（かた麺）、味付半熟玉子	http://feedproxy.google.com/~r/rablo/~3/X-kEkkJdejI/single_feed.php	youtube	2021-06-24 16:05:08
北海道	北海道新聞	津波２０ｍ超は道内９市町　道が太平洋岸地震予測　苫小牧で浸水１万ｈａ	https://www.hokkaido-np.co.jp/article/559494/	千島海溝	2021-06-25 00:15:56
北海道	北海道新聞	刺傷容疑で男子高校生逮捕　同級生を刃物で、福井	https://www.hokkaido-np.co.jp/article/559525/	男子生徒	2021-06-25 00:15:00
北海道	北海道新聞	西川・旭川市長に出馬要請へ　衆院選道６区、立憲が方針	https://www.hokkaido-np.co.jp/article/559487/	旭川市長	2021-06-25 00:08:42
北海道	北海道新聞	ゴールデンカムイの世界、ウポポイに　７月３日から特別展	https://www.hokkaido-np.co.jp/article/559491/	象徴	2021-06-25 00:04:26
北海道	北海道新聞	宇宙ベンチャー、ＣＦで連携　大樹・ＩＳＴ、全国４社と	https://www.hokkaido-np.co.jp/article/559450/	開発	2021-06-25 00:03:49
仮想通貨	BITPRESS（ビットプレス）	[Bloomberg] 仮想通貨マイニング、取り締まり続く中国からの流出加速	https://bitpress.jp/count2/3_9_12602	bloomberg	2021-06-25 00:29:05
IT	週刊アスキー	【速報】次世代WindowsはやはりWindows 11だった！ 外観も大きく変化	https://weekly.ascii.jp/elem/000/004/060/4060338/	microsoft	2021-06-25 00:15:00
ニュース	THE BRIDGE	Naver、買収した小説創作SNS「Wattpad」をウェブトゥーン事業と統合——世界展開を本格化	http://feedproxy.google.com/~r/SdJapan/~3/DXHnxLUANM4/naver-webtoon-wattpad-integration-pickupnews	Naver、買収した小説創作SNS「Wattpad」をウェブトゥーン事業と統合ー世界展開を本格化억들여왓패드인수한네이버웹툰스튜디오와왓패드통합…글로벌IP사업본격화韓国Naver네이버は今年始めに億ウォン約億円で買収したカナダの小説創作プラットフォーム「Wattpad」について、NaverWEBTOON네이버웹툰と統合し、「WattpadWEBTOONStudios」を設立することを明らかにした。	2021-06-24 15:15:59
GCP	Cloud Blog	Celebrating a year of connecting people and businesses through helpful conversations	https://cloud.google.com/blog/products/workspace/how-were-expanding-business-messages/	Celebrating a year of connecting people and businesses through helpful conversationsLast June in the early months of the pandemic we expanded Business Messages to support all kinds of businesses from pharmacies and grocery stores to airlines and luxury brands Then in December we announced the ability for small businesses to use the Google Maps app to message with their customers We knew people would find messaging directly with businesses from Google Search and Maps helpful but we didn t know just how valuable it would turn out to be  Consumers are increasingly eager to use messaging to connect with brands and businesses across all industries are now building innovative messaging experiences to address that growing need The demand from consumers is reflected in recent data of users have spent more time on messaging services because of the pandemic of consumers would like to messagebrands directly up from in Being able to message a business directly has never been more important For me personally there s nothing more fulfilling than using technology to help people in the moments that matter After the release of initial COVID vaccines in late online searches for vaccines reached an all time high To help people searching for vaccine eligibility availability and appointment booking Albertsons Companies banner pharmaciesーlike Albertsons Safeway and Vonsーmade this information easily accessible through Google Search and Maps via the “chat button This gave people the information they needed when they needed it To be more helpful in moments like these over the last year we ve made Business Messages available globally in more than languages and we ve seen more than brands and partners come on board Major brands like Carrefour Walmart and Woolworths have invested in Business Messages to help serve their consumers in new and meaningful ways  Expanding the conversation between consumers and brandsThe retail sector has undergone a transformation since the start of the pandemic As a result we know it is critical for digital services to integrate with physical stores We were able to do just that with Google s Business Messages which has been instrumental in helping better serve our customers across stores in Europe Thomas Rudelle Global Digital Marketing Director CarrefourThere were major shifts in consumer behavior during the pandemic from the way people found and purchased products to the ways they interacted with businesses Not only did we see higher demand for direct contact with brands but retail searches also surged At the end of retail searches grew at a rate that was more than three times higher than the same period in based on Google internal data As Business Messages has become more widespread brands are able to boost both responsiveness and customer satisfaction using the service Levi s for example surpassed customer satisfaction scores using Business Messages and they discovered that the service drove x more store related questions than web chat Many brands have also digitized what were traditionally in store experiences especially in high consideration categories like jewelry For example Signet brought its virtual jewelry consultant to Business Messages offering customers advice and answering queries in a way that s convenient but still feels personal We started using Google s Business Messages pretty early on and continue to transform and improve our experience The ability to let customers know whether a product is in stock and its precise location is critical to offering a connected and frictionless shopper experience Of course it also helps reduce the workload on our store and customer hub teams Nick Eshkenazi Chief Digital Technology Officer WoolworthsAs a working mother these sorts of innovations have made a direct impact in my own life I find it very helpful to be able to askーand get real time answers toーeveryday questions using Business Messages ranging from store hours and product availability to order status and how to make returns One of my favorite features is the ability to know in real time what store wait times are like and the exact location of the product I m looking for saving me precious time when I visit the store  Business Messages helps people do more with their time in other ways as well Earlier this year I d been meaning to change my insurance plan but kept pushing it off because I didn t want to get on a phone call I can now message Geico to update my policy through the agent pretty effortlessly Similarly in India Vi customers can use x real time customer service to chat with their AI powered virtual assistant VIC integrated with Google s Business Messages to check billing information activate packs add recharges and payments check balances and much moreーand it all happens seamlessly Building a full suite of messaging productsWe re investing in building a full suite of messaging products that enable seamless conversational commerce to drive business results As Business Messages continues to support brands in establishing their messaging presence on Google we re also experimenting with other ways to help them increase their reach and engagement on Search and Display To accelerate on the digital front we recently integrated AdLingo a project built within Area Google s in house incubator This will enable brands to easily transform ads into AI powered personalized conversations at scale For more information on how you can activate Business Messages please reach us via the contact form on the Business Messages website Merchants can also read and respond to messages via Google My Business or on the Google Maps app	2021-06-24 16:00:00
GCP	Cloud Blog	Getting started with MLOps: Selecting the right capabilities for your use case	https://cloud.google.com/blog/products/ai-machine-learning/select-the-right-mlops-capabilities-for-your-ml-use-case/	Getting started with MLOps Selecting the right capabilities for your use caseEstablishing a mature MLOps practice to build and operationalize ML systems can take years to get right  We recently published our MLOps framework to help organizations come up to speed faster in this important domain   As you start your MLOps journey you might not need to implement all of these processes and capabilities Some will have a higher priority than others depending on the type of workload and business value that they create for you balanced against the cost of building or buying processes or capabilities  To help ML practitioners translate the framework into actionable steps this blog post highlights some of the factors that influence where to begin based on our experience in working with customers  The following table shows the recommended capabilities indicated by check marks based on the characteristics of your use case but remember that each use case is unique and might have exceptions For definitions of the capabilities see the MLOps framework MLOps capabilities by use case characteristicsYour use case might have multiple characteristics For example consider a recommender system that s retrained frequently and that serves batch predictions In that case you need the data processing model training model evaluation ML pipelines model registry and metadata and artifact tracking capabilities for frequent retraining You also need a model serving capability for batch serving In the following sections we provide details about each of the characteristics and the capabilities that we recommend for them PilotExample A research project for experimenting with a new natural language model for sentiment analysis For testing a proof of concept your focus is typically on data preparation feature engineering model prototyping and validation You perform these tasks using the experimentation and data processing capabilities Data scientists want to set up experiments quickly and easily and track and compare them Therefore you need the ML metadata and artifact tracking capability in order to debug to provide traceability and lineage to share and track experimentation configurations and to manage ML artifacts For large scale pilots you might also require dedicated model training and evaluation capabilities Mission criticalExample An equities trading model where model performance degradation in production can put millions of dollars at stake In a mission critical use case failure with the training process or production model has a significant negative impact on the business a legal ethical reputational or financial risk The model evaluation capability is important to identify bias and fairness as well as to provide explainability of the model Additionally monitoring is essential to assess the quality of the model during training and to assess how it performs in production Online experimentation lets you test newly trained models against the one in production using a controlled environment before you replace the deployed model Such use cases also need a robust model governance process to store evaluate check release and report on models and to protect against risks You can enable model governance by using the model registry and metadata and artifact tracking capabilities Additionally datasets and feature repositories provide you with high quality data assets that are consistent and versioned Reusable and collaborativeExample Customer Analytic Record CAR features that are used across various propensity modeling use cases Reusable and collaborative assets allow your organization to share discover and reuse AI data source code and artifacts A feature store helps you standardize the processes of registering storing and accessing features for training and serving ML models Once features are curated and stored they can be discovered and reused by multiple data science teams Having a feature store helps you avoid reengineering features that already exist and saves time on experimentation You can also use tools to unify data annotation and categorization Finally by using ML metadata and artifacts tracking you help provide consistency testability security and repeatability of the ML workflows  Ad hoc retrainingExample An object detection model to detect various car parts which needs to be retrained only when new parts are introduced  In ad hoc retraining models are fairly static and you do not retrain them except when the model performance degrades In these cases you need data processing model training and model evaluation capabilities to train the models Additionally because your models are not updated for long periods you need model monitoring Model monitoring detects data skews including schema anomalies as well as data and concept drifts and shifts Monitoring also lets you continuously evaluate your model performance and it alerts you when performance decreases or when data issues are detected  Frequent retrainingExample A fraud detection model that s trained daily in order to capture recent fraud patterns Use cases for frequent retraining are ones where model performance relies on changes in the training data The retraining might be based on time intervals for example daily or weekly or it could be triggered based on events like when new training data becomes available For this scenario you need ML pipelines to connect multiple steps like data extraction preprocessing and model training You also need the model evaluation capability to ensure that the accuracy of the newly trained model meets your business requirements As the number of models you train grows both a model registry and metadata and artifact tracking help you keep track of the training jobs and model versions Frequent implementation updatesExample A promotion model with frequent changes to the architecture to maximize conversion rate Frequent implementation updates involve changes to the training process itself That might mean switching to a different ML framework such as changing the model architecture for example LSTM to Attention or adding a data transformation step in your training pipeline Such changes in the foundation of your ML workflow require controls to ensure that the new code is functional and that the new model matches or outperforms the previous one Additionally the CI CD process accelerates the time from ML experimentation to production as well as reducing the possibility for human error Because the changes are significant online experimentation is necessary to ensure that the new release is performing as expected You also need other capabilities such as experimentation model evaluation model registry and metadata and artifact tracking to help you operationalize and track your implementation updates  Batch servingExample A model that serves weekly recommendations to a user who has just signed up for a video streaming service For batch predictions there is no need to score in real time You precompute the scores and you store them for later consumption so latency is less of a concern than in online serving However because you process a large amount of data at a time throughput is important Often batch serving is a step in a larger ETL workflow that extracts pre processes scores and stores data Therefore you need the data processing capability and ML pipelines for orchestration In addition a model registry can provide your batch serving process with the latest validated model to use for scoring Online servingExample A RESTful microservice that uses a model to translate text between multiple languages  Online inference requires tooling and systems in order to meet latency requirements The system often needs to retrieve features to perform inference and then to return the results according to your serving configurations A feature repository lets you retrieve features in near real time and model serving allows you to easily deploy models as an endpoint Additionally online experiments help you test new models with a small sample of the serving traffic before you roll the model out to production for example by performing A B testing Get started with MLOps using Vertex AIWe recentlyannouncedVertex AI our unified machine learning platform that helps you implement MLOps to efficiently build and manage ML projects throughout the development lifecycle You can get started using the following resources  MLOps Continuous delivery and automation pipelines in machine learningGetting started with Vertex AIBest practices for implementing machine learning on Google CloudAcknowledgements I d like to thank all the subject matter experts who contributed  including Alessio Bagnaresi Alexander Del Toro Alexander Shires Erin Kiernan Erwin Huizenga Hamsa Buvaraghan Jo Maitland Ivan Nardini Michael Menzel Nate Keating Nathan Faggian Nitin Aggarwal Olivia Burgess Satish Iyer Tuba Islam and Turan Bulmus A special thanks to the team that helped create this Donna Schut Khalid Salama and Lara Suzuki and Mike Pope for his ongoing support Related ArticleGoogle Cloud unveils Vertex AI one platform every ML tool you needGoogle Cloud launches Vertex AI a managed platform for experimentation versioning and deploying ML models into production Read Article	2021-06-24 16:00:00
GCP	Cloud Blog	Cloud Career Jump Start: our virtual certification readiness program	https://cloud.google.com/blog/topics/training-certifications/learn-more-about-cloud-career-jump-start/	Cloud Career Jump Start our virtual certification readiness programIt s no question that the cloud computing industry is booming and cloud experts are in high demand  In percent of organizations surveyed in the IDG Cloud Computing Report added new cloud roles and functions source  So there are plenty of cloud jobs out there but if you don t have years of experience you might find it difficult to get one This is especially true for members of underrepresented communities who face other kinds of systemic barriers in education and employment To help meet this demand and democratize opportunity Google Cloud is introducing its first virtual Certification Journey Learning program for underrepresented communities across the United StatesーCloud Career Jump Start The program is free of charge for participants and includes technical and professional skill development and resources with an aim to provide a readiness path to certification via the Google Cloud Associate Cloud Engineer Exam  Google Cloud s Certification Journey Learning ProgramThe program offers free access to the Google Cloud Associate Cloud Engineer training which provides support preparations for the Certification Exam This industry recognized certification helps job applicants validate their cloud expertise elevate their career and transform businesses with Google Cloud technology Learn more about the exam by watching the Certification Prep Associate Cloud Engineer webinar  Designed specifically for Computer Science or Information Systems related majors or relevant experience the week program offers Exclusive free access to Google Cloud Associate Cloud Engineer related training to support preparations for the Certification Exam  Guided progress through the certification prep training on Qwiklabs  Office hours hosted by Google Cloud technical experts  Technical workshops including sessions with Googlers who earned cloud industry certifications and have built impactful careers in cloud tech such as Google Cloud s Kelsey Hightower a Principal Developer Advocate and Jewel Langevine a Solution Engineer  Earn your Associate Cloud Engineer Certification Curious if you qualify to apply for the program We ve put together a guide below to help  What does an associate cloud engineer do Associate Cloud Engineers deploy applications monitor operations and manage enterprise solutions They also use the Google Cloud Console and the command line interface to perform common platform based tasks to maintain one or more deployed solutions that leverage Google managed or self managed services on Google Cloud Who s eligible We are encouraging applicants from groups that have been historically underrepresented in tech including Black Latinx Native American amp Indigenous communities Applicants should have six or more months of hands on experience in a Computer Information Systems related major and or relevant experience through online courses boot camps hackathons or internships Although the ability to program is not required familiarity with the following IT concepts is highly recommended virtual machines operating systems storage and file systems networking databases programming and working with Linux at the command line How do you know if you are ready for the program  To get an idea of what the program will cover Watch the Certification Prep Associate Cloud Engineer webinarComplete the Skill IQ Assessment via PluralsightReview the Associate Cloud Engineer Certification Exam Guide Take the Associate Cloud Engineer Practice ExamJump start a career in cloud infrastructure and technology Following the hands on training Google Cloud will offer an additional months of career development resources and activities This includes an online support community mentoring with Googlers amp partners including SADA EPAM Systems Inc and Slalom resume and interviewing support from Google Recruiting amp Staffing and additional career workshops We are also partnering with a number of Black owned and operated nonprofit and cloud training organizations like Kura Labs  Cloud certifications open doors Want to hear more about this program from two Googlers who completed it We asked Kelsey and Jewel to share more on how certifications helped them launch their careers in the cloud industry  “IT certifications introduced me to the game opportunities and hard work helped me change it Kelsey Hightower Staff Developer Advocate Google Cloud Platform “Becoming certified as a cloud computing professional combined with prayer networking and practice has kept me moving on my purposeful and rewarding career path as an engineer Jewel Langevine Solution Engineer Google Cloud Solutions StudioKelsey and Jewel s wisdom doesn t end there They play a central role in the program sharing more about how they navigated certifications and leveraged them for success  Apply today to Cloud Career Jump StartThe program is now live in the United States with plans to expand to other regions in the coming months It is completely virtual and all training is on demand so that participants can access their coursework anytime anywhere via the web or mobile device To determine whether you or someone you know would be a great fit for the Cloud Career Jump Start check out our guidelines andapply Related ArticleIn case you missed it All our free Google Cloud training opportunities from QSince January we ve introduced a number of no cost training opportunities to help you grow your cloud skills We ve brought them togethe Read Article	2021-06-24 16:00:00