IT |
気になる、記になる… |
Apple、新型「iPad Pro」を量産開始か |
https://taisy0.com/2021/03/20/137895.html
|
apple |
2021-03-19 15:50:56 |
IT |
気になる、記になる… |
Appleの整備済み商品情報 2021/3/20 |
https://taisy0.com/2021/03/20/137875.html
|
apple |
2021-03-19 15:43:37 |
js |
JavaScriptタグが付けられた新着投稿 - Qiita |
data-属性を有効活用!簡単・便利なタブメニュー |
https://qiita.com/RyujiWatanabe/items/6cb57fc69ce4eb46b99e
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ltsectiongtmainjs行目dataidの値と同じ値のidを持つ要素をdatasetプロパティで取得し、selectクラスを追加letcurrentMenudocumentgetElementByIdclickedItemdatasetidcurrentMenuclassListaddselectJSのdatasetプロパティを通して、data属性で指定した値を取得することができます。 |
2021-03-20 00:37:26 |
Program |
[全てのタグ]の新着質問一覧|teratail(テラテイル) |
エラー: メイン・クラスapplication.Mainを検出およびロードできませんでした 原因: java.lang.NoClassDefFoundError: javafx/application |
https://teratail.com/questions/328820?rss=all
|
エラーメイン・クラスapplicationMainを検出およびロードできませんでした原因javalangNoClassDefFoundErrorjavafxapplication前提・実現したいことEclipseでjavaの勉強をしています。 |
2021-03-20 00:30:25 |
Program |
[全てのタグ]の新着質問一覧|teratail(テラテイル) |
jQuery アップロード済みファイルの入れ替え |
https://teratail.com/questions/328819?rss=all
|
jQueryアップロード済みファイルの入れ替えお世話になっております。 |
2021-03-20 00:02:32 |
Ruby |
Rubyタグが付けられた新着投稿 - Qiita |
【Rails】NameError: uninitialized constant Sidekiq::Loggingの解決方法【非同期処理】 |
https://qiita.com/SyoInoue/items/303a1ac3b97db31afe14
|
タスク投稿後、無事出力された。 |
2021-03-20 00:23:47 |
Linux |
Ubuntuタグが付けられた新着投稿 - Qiita |
【組み立てるだけ】Jetbot部品リスト(2021年版) |
https://qiita.com/ko-p/items/9320070e055f71625c28
|
ここまでできれば、③JetsonNanoで動いているJetPackUbuntuには、mDNSに対応しているため、IPアドレスがわからなくても同一のネットワークに繋がっている場合は、「jetsonlocal」というホスト名になっています。 |
2021-03-20 00:49:38 |
AWS |
AWSタグが付けられた新着投稿 - Qiita |
Amazon Redshift Spectrum とは |
https://qiita.com/miyuki_samitani/items/69fae8716481c202b18f
|
しかし、処理を行う方法としてRedshiftにコピーしなければいけなかったのですがsにデータを置いたままそのデータにアクセス出来る方法としてRedshiftSpectrumが登場しました。 |
2021-03-20 00:02:02 |
Ruby |
Railsタグが付けられた新着投稿 - Qiita |
【Rails】NameError: uninitialized constant Sidekiq::Loggingの解決方法【非同期処理】 |
https://qiita.com/SyoInoue/items/303a1ac3b97db31afe14
|
タスク投稿後、無事出力された。 |
2021-03-20 00:23:47 |
技術ブログ |
Developers.IO |
AWS LambdaでContentfulの記事を取得する(Python) |
https://dev.classmethod.jp/articles/lambda-contentful-python/
|
awslambda |
2021-03-19 15:25:48 |
Apple |
AppleInsider - Frontpage News |
What is Roblox? - everything you need to know about the latest craze |
https://appleinsider.com/articles/21/03/19/what-is-roblox---everything-you-need-to-know-about-the-latest-craze
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What is Roblox everything you need to know about the latest crazeReleased in Roblox grew from obscurity into a gaming juggernaut culminating in a multi billion dollar public stock offering Here s what you need to know about the game Roblox has seen fast growth during the pandemicRoblox is a video game and creation platform available on most mobile devices consoles and PCs Players choose from experiences built by developers and can use in app purchases for in game content and other perks Read more |
2021-03-19 15:17:38 |
Apple |
AppleInsider - Frontpage News |
The best USB-C to Lightning cables released so far |
https://appleinsider.com/articles/19/05/28/these-are-the-best-usb-c-lightning-cables-released-so-far
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The best USB C to Lightning cables released so farIt s been some time since Apple first allowed third party USB C to Lightning cables and there are a ton of options We ve collected and tested a bunch of cables and here s what we like USB C to Lightning cables in the Peak Design Tech PouchUSB C to Lightning cables used to be exclusive to Apple but in early Apple allowed other manufacturers to officially put their own spin on them Read more |
2021-03-19 15:04:11 |
Apple |
AppleInsider - Frontpage News |
Deals: Sony WH-1000XM4 headphones are back down to $278 ($70 off) |
https://appleinsider.com/articles/21/01/25/sonys-wh-1000xm4-headphones-are-back-down-to-278-matching-holiday-pricing
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Deals Sony WH XM headphones are back down to off The best price on Sony s popular WH XM noise canceling headphones has returned with top online retailers knocking off the over ear headset that pairs well with Macs for work from home calls Sony resellers Adorama B amp H and Amazon are currently offering the Sony WH XM headphones for with Adorama sweetening the deal by throwing in a free Mophie powerbank valued at Typically retailing for the WH XM have some of the best active noise cancellation available and they have high quality audio and extra features to boot We ve used them on a daily basis for several months for everything from business conference calls to entertainment Read more |
2021-03-19 15:09:04 |
Apple |
AppleInsider - Frontpage News |
Apple Fitness+ was a physical & mental health godsend during the pandemic winter |
https://appleinsider.com/articles/21/03/19/apple-fitness-was-a-physical-mental-health-godsend-during-the-pandemic-winter
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Apple Fitness was a physical amp mental health godsend during the pandemic winterFollowing recommended social distancing and quarantining guidelines for the last year has been a challenge for everyone made even more difficult during a historically snowy winter The launch of Apple Fitness turned out to be perfect timing for someone cooped up in a small apartment for most of the season I moved to my Brooklyn apartment for location and convenience not luxurious space Maxing out at square feet if I m being generous it is not an ideal amount of square footage to shelter in place particularly when you want to get in some exercise As the Covid pandemic surged last year quarantining and respecting social distancing recommendations wasn t so bad during the spring summer and fall months ーI could run outside with a mask and maintain a safe distance Read more |
2021-03-19 15:01:33 |
海外TECH |
Engadget |
The best deals we found this week: $40 off the Echo Show 5 and more |
https://www.engadget.com/weekly-tech-deals-amazon-echo-show-5-apple-macbook-pro-m1-153503312.html
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macbook |
2021-03-19 15:35:03 |
海外TECH |
Engadget |
Gamescom 2021 is planned as a hybrid in-person and virtual event |
https://www.engadget.com/gamescom-2021-hybrid-in-person-event-152536430.html
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event |
2021-03-19 15:25:36 |
海外TECH |
Engadget |
OnePlus Watch revealed ahead of 9 Series event |
https://www.engadget.com/oneplus-watch-revealed-151243101.html
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buttons |
2021-03-19 15:12:43 |
海外TECH |
CodeProject Latest Articles |
Generate New Fashion Designs with a Generative Adversarial Network (GAN) |
https://www.codeproject.com/Articles/5297330/Generate-New-Fashion-Designs-with-a-Generative-Adv
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design |
2021-03-19 15:32:00 |
海外科学 |
NYT > Science |
C.D.C. Says 3 Feet in Elementary Schools With Masks Is O.K. |
https://www.nytimes.com/2021/03/19/science/cdc-guidelines-schools-distancing.html
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C D C Says Feet in Elementary Schools With Masks Is O K In a major policy revision federal health officials said that only three feet of distance is required between young children in classrooms so long as everyone is masked |
2021-03-19 15:20:20 |
金融 |
金融庁ホームページ |
「令和2年資金決済法改正に係る政令・内閣府令案等」に関するパブリックコメントの結果等について公表しました。 |
https://www.fsa.go.jp/news/r2/sonota/20210319-2/20210319-2.html
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内閣府令 |
2021-03-19 17:00:00 |
金融 |
金融庁ホームページ |
「令和2年金融商品取引法改正に係る内閣府令・告示案」に関するパブリックコメントの結果等について公表しました。 |
https://www.fsa.go.jp/news/r2/sonota/20210319-3/20210319-3.html
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内閣府令 |
2021-03-19 17:00:00 |
金融 |
金融庁ホームページ |
金融審議会「最良執行のあり方等に関するタスクフォース」(第2回)議事録について公表しました。 |
https://www.fsa.go.jp/singi/singi_kinyu/sairyo-tf/gijiroku/20210216.html
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最良執行 |
2021-03-19 17:00:00 |
金融 |
金融庁ホームページ |
審判期日の予定を更新しました。 |
https://www.fsa.go.jp/policy/kachoukin/06.html
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期日 |
2021-03-19 16:00:00 |
金融 |
金融庁ホームページ |
日本海洋掘削(株)社員による重要事実に係る推奨行為に対する違反事実がないと認める旨の決定について公表しました。 |
https://www.fsa.go.jp/news/r2/shouken/20210319_1.html
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日本海洋掘削 |
2021-03-19 16:00:00 |
海外ニュース |
Japan Times latest articles |
Side jobs offer career development for some but overwork hazards for others |
https://www.japantimes.co.jp/news/2021/03/19/business/corporate-business/side-job-hazards/
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Side jobs offer career development for some but overwork hazards for othersWhile the government and Keidanren hope more flexible working will vitalize firms and improve job satisfaction data shows most with side jobs are lower earners |
2021-03-20 02:00:07 |
海外ニュース |
Japan Times latest articles |
Japan reviewing government use of Line app: Suga |
https://www.japantimes.co.jp/news/2021/03/19/business/japan-reviews-line-app/
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ensure |
2021-03-20 01:43:21 |
海外ニュース |
Japan Times latest articles |
Despite easing of coronavirus measures, Tokyo restaurants don’t see a quick rebound |
https://www.japantimes.co.jp/news/2021/03/19/business/coronavirus-emergency-restaurants-theaters/
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Despite easing of coronavirus measures Tokyo restaurants don t see a quick reboundRestaurants and bars will continue to be asked to close early until the end of March with the deadline pushed back by an hour to |
2021-03-20 01:22:33 |
海外ニュース |
Japan Times latest articles |
Top American and Chinese diplomats clash publicly at start of first talks of Biden presidency |
https://www.japantimes.co.jp/news/2021/03/19/world/politics-diplomacy-world/china-us-talks/
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Top American and Chinese diplomats clash publicly at start of first talks of Biden presidencyThe U S which quickly accused China of grandstanding had been looking for a change in behavior from China which had earlier this year expressed hope |
2021-03-20 00:36:31 |
海外ニュース |
Japan Times latest articles |
The second Jacksonian age |
https://www.japantimes.co.jp/opinion/2021/03/19/commentary/world-commentary/donald-trump-andrew-jackson-social-media/
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democratization |
2021-03-20 02:00:43 |
海外ニュース |
Japan Times latest articles |
Banker bonuses always send a powerful message |
https://www.japantimes.co.jp/opinion/2021/03/19/commentary/world-commentary/eu-banking-deutsche/
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wealth |
2021-03-20 02:00:38 |
海外ニュース |
Japan Times latest articles |
The need to deepen fusion with Australia, Japan’s second ally |
https://www.japantimes.co.jp/opinion/2021/03/19/commentary/japan-commentary/japan-australia-ties/
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aggression |
2021-03-20 02:00:25 |
海外ニュース |
Japan Times latest articles |
What the ‘Quad’ is and isn’t |
https://www.japantimes.co.jp/opinion/2021/03/19/commentary/japan-commentary/the-quad-australia-india-the-united-states/
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goods |
2021-03-20 02:00:13 |
ニュース |
BBC News - Home |
Care workers lose 'sleep-in shift' court challenge |
https://www.bbc.co.uk/news/uk-56451721
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minimum |
2021-03-19 15:34:45 |
ニュース |
BBC News - Home |
Nicola Sturgeon rejects claims over Alex Salmond inquiry evidence |
https://www.bbc.co.uk/news/uk-scotland-scotland-politics-56459301
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salmond |
2021-03-19 15:35:00 |
ニュース |
BBC News - Home |
Manchester Arena Inquiry: Sergeant's frustration over lack of medics |
https://www.bbc.co.uk/news/uk-england-manchester-56458288
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attack |
2021-03-19 15:16:17 |
ニュース |
BBC News - Home |
Myanmar protests: BBC journalist Aung Thura detained |
https://www.bbc.co.uk/news/world-asia-56454261
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forces |
2021-03-19 15:45:17 |
ニュース |
BBC News - Home |
Cheltenham Gold Cup: Minella Indo wins from A Plus Tard |
https://www.bbc.co.uk/sport/horse-racing/56460843
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Cheltenham Gold Cup Minella Indo wins from A Plus TardMinella Indo wins a thrilling Cheltenham Gold Cup under Jack Kennedy to deny Rachael Blackmore aboard A Plus Tard in a for trainer Henry de Bromhead |
2021-03-19 15:52:26 |
ニュース |
BBC News - Home |
Raymond van Barneveld being monitored after collapsing at PDC event in Milton Keynes |
https://www.bbc.co.uk/sport/darts/56461119
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Raymond van Barneveld being monitored after collapsing at PDC event in Milton KeynesFive time world champion Raymond van Barneveld is being monitored by medics after collapsing at the Players Championship on Friday |
2021-03-19 15:32:52 |
ニュース |
BBC News - Home |
Sunday's Old Firm derby to go ahead after call-off warning |
https://www.bbc.co.uk/news/uk-scotland-56456653
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lockdown |
2021-03-19 15:47:01 |
ニュース |
BBC News - Home |
Covid: What’s the problem with the EU vaccine rollout? |
https://www.bbc.co.uk/news/explainers-52380823
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coronavirus |
2021-03-19 15:10:37 |
北海道 |
北海道新聞 |
中国最大駆逐艦が日本海へ 防衛省、初めて活動確認 |
https://www.hokkaido-np.co.jp/article/523623/
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中国海軍 |
2021-03-20 00:08:00 |
仮想通貨 |
BITPRESS(ビットプレス) |
Zaif、株式会社CAICAによる当社の連結子会社化について |
https://bitpress.jp/count2/3_11_12356
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連結子会社化 |
2021-03-20 00:38:07 |
GCP |
Cloud Blog |
Celebrating Women in Tech: Highlighting Krikey |
https://cloud.google.com/blog/topics/startups/celebrating-women-tech-highlighting-krikey/
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Celebrating Women in Tech Highlighting KrikeyMarch is Women s History Month a time for us to come together and celebrate women led startups in the tech industry Our third of four features highlights the founders of Krikey ーKetaki Shriram and Jhanvi Shriram ーand how they utilize Google Cloud s easy to use tools to bring diversity into the mobile AR gaming space Many of you may know mobile Augmented Reality AR gaming from the game Pokemon Go Pokemon Go brings the virtual characters of the Pokemon world right to your phone and allows you to interact with those characters in the real world Krikey aims to bring the same excitement but by leveraging stories that are rarely told in mainstream gaming As sisters and co founders this was something we felt was missing from the games we grew up playing After making a documentary film in that we sold to Univision we enjoyed working with each other so much that we decided to continue blending our storytelling and engineering skills together to tell diverse stories in the gaming industry There are so many points of view through which to see the world and highlighting the lack of representation in the gaming industry was top of mind for us Krikey brings the excitement of gaming right to the user s phone Using augmented reality in our new game “Yaatra gamers will be able to use weapons such as the bow and arrow chakra lightning and fire bolts and players can battle through different levels of combat and puzzle games Breaking into the tech industryIt has been difficult to break into the male dominated technology and gaming industries While fundraising we have taken pitch meetings In the more difficult meetings we end up spending time answering questions about past experiences and to prove our knowledge of game development technology and storytelling In the more inspiring meetings we are asked about our vision for the future To transform the industry women need to be empowered to articulate their potential These varied experiences have taught us patience and perseverance Our goal is to build for the next generation of gamers an increasingly diverse audience As of December we have raised million for our startup Our company culture reflects the diversity and inclusion we aim to capture in the stories we tell through our games We are a small group of employees and growing Our team is built on the foundational values of kindness honesty trust and respect We work together with the help of Google Cloud to create new and exciting games for our customers Krikey Mobile AR gaming powered by Google CloudOur first Google Cloud experience was using Firebase but we quickly expanded to Firestore once we saw the traffic to our servers Google Cloud was able to grow with our company as we migrated to CloudSQL and Cloud Functions Making this switch decreased the rendering time for customers which improved the overall speed of our games As more and more gamers found our platform we adopted Google Kubernetes Engine GKE as our primary deployment service GKE allows our customers to experience the app instantly and consistently with no lag time At Krikey we want to make it easy for our developers to write deploy and debug code quickly with easy to use tools This is precisely why we have integrated Cloud Shell into our development workflow Cloud Shell allows us to manage our kubernetes infrastructure and develop our apps right within our web browser With Cloud Shell we are also able to easily access tools like Skaffold minikube and Docker All these come pre installed and kept up to date in Cloud Shell so no more hunting around for how to install the latest version and all its dependencies And to further drive developer productivity and ensure our developers spend less time on security we leverage vulnerability scanning This way images automatically identify operating system package vulnerabilities as a part of CI CD With four separate games all requiring multiple video feeds we rely on Cloud Operations to monitor troubleshoot and improve our applications performance In particular Cloud Monitoring dashboard gives us deep visibility into latency downtime and the overall health of our application And once a problem is identified having one integrated view of alerts SLOs events and logs via the dashboard which allows us to quickly identify which container has the problem fix the container and re deploy Additionally Google Maps for Gaming Platform has allowed us to completely customize our games design engaging games in the real world and create an immersive experience no matter where in the world our customers are playing We feel confident that the Google Cloud and Google Maps infrastructure will be there to scale as Krikey continues to grow Women in Tech GamingGrowing up as young women of color we never saw ourselves represented in the stories or games we consumed ーand we especially didn t see ourselves in the video games we played We built Krikey to foster a sense of belonging in the next generation of gamers We hope Krikey s diverse games inspire young people of all backgrounds to dive into the tech and gaming industries Representation is important because it shapes our idea of what is possible To be able to dream big it helps to see people who look like you in content where that story can play out Building a game that tells the story of a young woman of color banished from a castle fighting monsters and securing her place on the throne hopefully inspires a young girl who looks like her to fight for her dreams too If you want to learn more about how Google Cloud can help your startup visit our startup page here where you can apply for our Startup Program and sign up for our monthly startup newsletter to get a peek at our community activities digital events special offers and more |
2021-03-19 16:00:00 |
GCP |
Cloud Blog |
Pega: Optimizing business operations with SAP on Google Cloud |
https://cloud.google.com/blog/products/sap-google-cloud/how-pegasystems-optimizing-business-operations-with-sap-on-google-cloud/
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Pega Optimizing business operations with SAP on Google CloudFor Pegasystems a leading provider of cloud software for customer engagement and intelligent automation success depends on being able to provide highly scalable systems for its customers But with its core SAP systems in a traditional data center the IT department found it was spending too much time on day to day maintenance and less on strategic projects that generated value for customers In Pega chose to deploy its SAP environment including SAP ERP Central Component ECC and SAP HANA data warehousing to Google Cloud The move has helped Pega overcome many of the challenges it faced with the previous deployment It also made Pega s SAP systems more reliable and offered powerful new data capabilities to support the business in making the right decisions The challenge A lack of agilityAlthough Pega ran its SAP suite in a third party data center it was architected with traditional servers and storage and lacked the scale and agility necessary to keep up with Pega s needs Adding more capacity for example required too much work and coordination with the hosting provider which often led to unacceptable levels of downtime Instead of focusing on the transformational initiatives that Pega required for growth the company s IT team was putting time and resources into making sure its SAP systems were running correctly The solution Less maintenance for IT more insights for the businessPega considered several public cloud providers with a particular focus on enterprise architecture flexibility and operating costs before settling on Google Cloud “SAP on Google Cloud is a repeatable and proven architecture We were confident that we would be in good hands and have a smooth transition says David Vidoni Vice President of information Technology Pega Working with Managecore an SAP on Google Cloud Specialization partner it took Pega just nine weeks to move servers onto Google Cloud Managecore helped Pega manage changeover testing and integration of the customer facing solutions that run internally and integrate with the SAP environment Additional assistance came from the Cloud Acceleration Program CAP from Google Cloud a critical enabler for Pega offering SAP customers tools to simplify the migration process and financial incentives to defray infrastructure costs For Pega the move to Google Cloud is allowing them to deliver better service to their customers According to Vidoni “Google Cloud enables us to provide a higher level of service by minimizing downtime and outages As we grow adding capacity to meet our clients needs is a lot simpler Other benefits of the SAP on Google Cloud migration include reliability scalability and agility Reliability Google Cloud infrastructure has significantly reduced the strain on Pega s IT resources Pega has found that since moving to Google Cloud the IT team has cut the time it spends on SAP operational maintenance by two thirds New analytical capabilities Having fewer maintenance tasks means getting more time to analyze data that reveals customer needs and how to fulfill them The move to Google Cloud has made it easy to connect data from SAP HANA Richer data integration makes for faster and better informed decisions Per Vidoni “Data is our lifeblood We are making it easier to find the information we re looking for to get actionable insights and to gain an edge over our competition Scalability and performance Pega has benefitted from improved performance and a new ability to scale up and scale down resources as needed For example Pega will now be able to provide field teams with sandbox SAP HANA environments where they can test out new integrations with its software development platform Spinning up these development environments is much easier and faster than it was before migration Security and compliance Google Cloud has helped provide a much stronger security posture for SAP HANA implementation Pega s disaster recovery processes are now more streamlined and compliance testing is easier as well What s next for Pega Now that Pega s SAP applications are up and running on Google Cloud the company is setting its sights on moving its SAP ERP environment from ECC to S HANA which will allow it to take advantage of entirely new cloud centric capabilities within the suite In the meantime however Vidoni continues to explore the opportunities that Google Cloud offers to transform the way it provides systems and services to customers at scale “Running SAP in a future ready environment means that we can deliver the best possible service to employees and customers today and tomorrow Hear directly from Pegasystems about their SAP on Google Cloud deployment and also how other SAP customers are having similar success Related ArticleRémy Cointreau drives customer centricity with SAP on Google CloudRémy Cointreau moved to Google Cloud to gain flexibility in its SAP systems and gain easy access to valuable data for business decision m Read Article |
2021-03-19 16:00:00 |
GCP |
Cloud Blog |
Introducing the latest Slurm on GCP scripts |
https://cloud.google.com/blog/topics/hpc/introducing-the-latest-slurm-on-gcp-scripts/
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Introducing the latest Slurm on GCP scriptsDo you use the Slurm job scheduler to manage your high performance computing HPC workloads Today alongside SchedMD we re announcing the newest set of features for Slurm running on Google Cloud including support for Terraform the HPC VM Image placement policies Bulk API and instance templates as well as a Google Cloud Marketplace listing Note that Slurm s support for the Bulk API is in Beta at the time of this release Slurm is one of the leading open source HPC workload managers used in TOP supercomputers around the world Over the past four years we ve worked with SchedMD the company behind Slurm to release ever improving versions of Slurm on Google Cloud Here s more information about these new features Support for TerraformIn this release Terraform support is now generally available The latest scripts automatically deploy a SchedMD provided Virtual Machine VM image based on the Google Cloud HPC VM image a CentOS based VM image optimized for HPC workloads that we announced in February This new image based deployment reduces the time to deploy a Slurm cluster to just a few minutes Placement policiesYou can now create a set of nodes on demand per job in a placement policy With the previous version of our Slurm on GCP scripts you were only able to enable placement policies at a cluster level Now you can configure placement policies per partition enabling you to achieve significant improvements in latency and performance for your tightly coupled workloads Bulk APISlurm is now able to use the Bulk API to create instances This allows for faster and more efficient creation of VM instances than ever before by collecting up to in a single API call The Bulk API also supports “regional capacity finding and can create instances in whichever zone within a region that has the necessary capacity improving the speed and likelihood of getting the resources requested Instance templatesYou can now specify instance templates as the definitions for creating Slurm instances Cloud Marketplace listingLast but not least we re excited to share that the Slurm on Google Cloud scripts are now available through our Cloud Marketplace From the Google Cloud Console you can locate and launch the latest version of Slurm on Google Cloud in just a few clicks The Cloud Marketplace listing also provides more information about how to access additional managed services from SchedMD helping you expand and deepen your HPC workloads on Google Cloud using Slurm Research organizations are taking advantage of Google Cloud s capacity with Slurm scripts to meet increased demand for their HPC compute clusters When it comes to supporting cutting edge research requiring advanced computing there are never enough resources on prem Driven by the application of Artificial Intelligence in a wide spectrum of research areas the undertaking of urgent COVID research and the increasing popularity of AI ML and Data Science academic courses the job wait times on our HPC cluster have been increasing To address the increasing job wait times and to allow researchers to evaluate the latest CPUs and GPUs the HPC team had been evaluating the viability of bursting jobs to Google Cloud With additional features from the Slurm on Google Cloud and offerings such as preemptible virtual machines we decided to burst jobs that have been submitted to our on prem cluster to GCP enabling us to reduce job wait times and produce research results faster Stratos Efstathiadis Director Research Technology Services at NYUGetting startedThis new release was built by the Slurm experts at SchedMD You can download this release in SchedMD s GitHub repository For more information check out the included README If you need help getting started with Slurm check out the quick start guide and for help with the Slurm features for Google Cloud check out the Slurm Auto Scaling Cluster codelab and the Deploying a Slurm cluster on Google Compute Engine and Installing apps in a Slurm cluster on Compute Engine solution guides If you have further questions you can post on the Slurm on GCP Google discussion group or contact SchedMD directly Related ArticleIntroducing HPC VM imagesーpre tuned for optimal performanceGoogle Cloud s first pre configured HPC VM image is a CentOS based image optimized for tightly coupled MPI workloads Read Article |
2021-03-19 16:00:00 |
GCP |
Cloud Blog |
VM Manager 101: Create a disk clone before patching VMs |
https://cloud.google.com/blog/products/compute/how-to-use-vm-manager-os-patch-management-to-clone-a-disk/
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VM Manager Create a disk clone before patching VMsEarlier this year we introduced VM Manager a suite of tools that can be used to manage virtual machines running on Google Cloud at scale One of the services available with VM Manager isOS patch management which helps to apply patches to virtual machines on demand and based on schedules Both Linux and Windows operating systems are supported and the service uses the respective update infrastructure of the operating system e g apt ZYpp yum and Windows Update Agent to both identify and apply missing patches A request that comes up often when talking to customers that plan on using this service or are already using it is how to create a backup of the state of a virtual machine before patches are applied in order to be able to roll back in case something goes wrong with patching or with the patches themselves Unfortunately this feature is not supported by VM Manager out of the box One of the capabilities the service supports however is the ability torun pre patch and post patch scripts on each VM that is targeted for patching Scripts running pre patching or post patching run on the instance and in the context of the service account that is associated with it eitherthe Compute Engine default service account or the one that was used during creation In this blog I will explain how pre patch scripts can be leveraged to create a crash consistent disk clone of the attached persistent disks of a VM before patches are applied ConsiderationsThis blog describes a solution to a common customer problem The ideal solution would be to have a direct integration in the service that does not rely on executing the snapshot creation on the VM and in the context of the associated service account Assigning the required permission to the service account ultimately gives these permissions to any user that can login onto the VMs By making the patching of a VM dependent on taking a disk clone this is how the sample script in this article is put together a failure to create the clone ultimately results in not patching the VM PrerequisitesSetting up VM Manager and OS patch management is out of the scope of this article Follow the instructions onSetting up VM Manager to enable VM Manager for your project PermissionsCreating disk clones requires at least the followingpermissions to be assigned to the service account associated with the VM compute disks create on the projectcompute disks createSnapshot on the source diskScopesThe script that creates the clone ultimately runs on the VM that is being patched This means that it is not only required to set the correct permission to the service account associated with the VM but the API scope needs to be set as well Set the scope to either Allow full access to all Cloud APIsUpload scriptsI ve included sample scripts for both Linux and Windows based operating systems at the end of this section I have tested these scripts Debian Ubuntu the latestContainer Optimize OS and Windows Server If you use different versions I strongly recommend to test the scripts Both versions of the sample script follow the same logic Retrieve the ID of the patch job used to tag the snapshot for better discoverability Retrieve disks associated with the VMCreate disk clonesYou need to download the appropriate version of the update script and then upload them to a storage bucket this guide explains how to do just that Copy script to GCS bucketgsutil cp clone linux sh gs lt BUCKET gt clone linux shNow we need to get the version of the file we just uploaded We need to pass along the version so the patch service can pick up the right version for execution Retrieve file versiongsutil ls a gs lt BUCKET gt clone linux sh cut d f LinuxFind the latest version on GitHub WindowsFind the latest version on GitHub Create patch job with pre patch script executionNow that the scripts have been uploaded we can create patch jobs These can either be on demand or scheduled Additionally they can be configured to target different subsets of VM instances More information about instance filters can be found in the documentation The following samples create on demand patch jobs targeting all instances Make sure to supply the correct values for the GCS bucket and the file version for the script LinuxWindowsValidate snapshot creationPatch results Cloud LoggingNavigate to Compute Engine then OS patch management Select Patch Jobs Select the job and review the status For more details scroll down in the patch job execution details overlay and select View for a VM that was targeted by this job This opens Cloud Logging and contains a detailed log of the script execution ClonesNavigate to Compute EnginethenDisks Review the available disks The name of the disk clone is the original disk name with the ID of the patch job appended Additionally a few labels have been set to make discovery easier The name of the disk clone is the original disk name with the ID of the patch job appended Additionally a few labels haven been set to make discovery easier ConclusionHope you enjoyed today s blog illustrating how the pre patch and post patch scripts can be used to automate common enterprise requirements While there are limitations and considerations to be made this process can be used to secure workloads before patching at scale To learn more about VM Manager visit the documentation or watch our Google Cloud Next OnAir session Managing Large Compute Engine VM Fleets Related ArticleIntroducing VM Manager Operate large Compute Engine fleets with easeThe new VM Manager simplifies infrastructure and compliance management for the largest of Compute Engine VM fleets Read Article |
2021-03-19 16:00:00 |
GCP |
Cloud Blog |
Next-generation claims: Transforming vehicle accidents with AI |
https://cloud.google.com/blog/products/ai-machine-learning/solera-speeds-up-car-insurance-claims-with-ai/
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Next generation claims Transforming vehicle accidents with AIEditor s note Today we re hearing from risk management software provider Solera Holdings on how they transformed their automotive claims process using machine learning from Google Cloud Stuck on hold with your car insurance claims department If a fender bender isn t enough to send your stress levels through the roof negotiating costs and insurance deductibles with a claims adjuster probably is At Solera Holdings our business is automobile damage estimation We deal with around of the claims worldwide between insurance companies drivers and the automotive industry Like anything today when people want their cars fixed they want it done as fast as possible But unlike other modern services such as rideshare or food delivery claims departments at your insurance company likely aren t quite up to speed That s why we decided to transform Qapter our established claims workflow platform into a touchless intelligent claims solution Better safe than sorryーbut no one wants slowWhen I joined Solera in I came with the understanding that no one particular artificial intelligence AI or machine learning ML technology could be applied to solve every business problem no matter how innovative or disruptive that technology might be In my experience solving issues always requires multiple in house and cloud technologies My vision was to effectively implement AI technologies to the right problems to gain and maintain competitive advantages for Solera So I was delighted to discover my team was already way ahead of me and had been working on a way to solve one of their biggest problems with the help of AI and ML Based on input from insurance companies over the years the Solera product team knew that customers wanted an AI based claims process While repair estimation technology has evolved from estimation spreadsheets to three dimensional models modern customer expectations are fast outpacing yesterday s solutions and processes Unfortunately many insurance providers take a “better safe than sorry approach to existing systems and the end result is a customer experience that is as frustrating as it is slow It was clear this was an area that was ripe for improvement and with our long history of transforming the insurance and automotive industry we wanted to be the ones to crack the case The challenge with any AI project is applying the right technologies to the problem at hand It s essential to understand the space and scope so we can use technology effectively or risk falling short Several insurers had already tried and failed to use computer vision to automate the collision damage repair process While they managed to build working in house solutions all of these AI projects ultimately ran into issues when it came time to scale What could we do differently to avoid failing as an AI project First we kept our focus narrow only looking at ways to apply AI to identify vehicle damage in the collision claims workflow not the entire repair process We then chose to augment our existing backend systems with ML to leverage our substantial existing database of proprietary automotive images and parts catalogs to streamline the process of offering precise methods cost and time estimates for repairs Additionally before I arrived at Solera the team had already built a previous version of an automated claims system that helped eliminate several less successful approaches The original version gave us a strong blueprint to work off and enabled us to reimagine Qapter s full potential when combined with the latest cloud and AI technologies We knew where we wanted to goーall we needed was the right AI solution and the latest cloud technologies to help us transform the initial damage assessment into an AI powered process Google Cloud An AI technology toolbox with everything we needOur team was already experienced with cloud technology when we started looking for an AI ML solution that could integrate with a full suite of advanced cloud technologies While we host our own data lake for contractual reasons with our customers our accident claim workflow was already cloud based We knew that choosing the right technology vendor would be critical to a successful outcome for the next generation platform After completing a thorough technology bake off we found that Google Cloud s AI ML solutions were more sophisticated robust and scalable than what other vendors could offer Having best in class technologies for building and deploying AI applications such as Google Kubernetes Engine and Cloud Run that integrate with the entire Google Cloud ecosystem played a definitive role in our decision In short Google Cloud had everything we needed to take full advantage of AI and ML solutions for processing touchless claims while also providing us with additional sophisticated capabilities and tooling that speeds up development and deployment rather than worrying about maintaining infrastructure The core value of Qapter is its ability to understand how the vehicle is composed using D vehicle models We repurpose this data and put it through different workflows such as vehicle inspection or collision estimation Using Vision API and TensorFlow we built a system that allows us to collect and recognize claims information such as vehicle make and model damage information and parts required for repairsーall based on collision images Starting with Vision API s simple image processing we used its optical character recognition OCR to collect license plates and VINs We then used TensorFlow to build custom algorithms and machine learning models for image recognition and vehicle data extraction which enables us to collect other important information like vehicle make and model damage information and parts for repairs In addition Cloud GPUs Graphics Processing Units and TPUs Tensor Processing Units enabled us to accelerate our data model processing and increase our ability to train large complex models faster Now all we need is a picture of the damaged carーand Qapter does the rest Once Qapter has the image it compares it against our massive repository of claims images to estimate the extent of the damage recognizes the vehicle s make and model identifies what parts are needed and estimates the final repair cost From breakdown to breakthrough We started rolling out the new Qapter in France and the Netherlands during and there s no doubt that it has dramatically changed the entire claims experience Our customers are thrilled with the new AI based approach Instead of sending a claims adjuster to examine a vehicle physically all a driver has to do now is take a picture of the car upload it and start the process It s been a game changerーwithin months of the initial launch Qapter could auto authorize of damage claims reducing estimation costs by nearly half It has also provided an unexpected benefit across the entire damage claims value chain during the COVID pandemic While Qapter reduces time and costs for drivers insurers and auto repair providersーultimately it also cuts down on the need for human interaction Even in a world of social distancing necessary services must still be available Qapter keeps the vehicle repair cycle running smoothly so drivers can get back on the road repair shops can continue working and insurance companies don t have to send out employees to assess claims in person At Solera we want to continue developing and building new products and services on top of the new Google Cloud framework we ve created Computer vision has a lot of applications within the damage estimation space such as window and windshield damage insurance coverage assessments rental or lease returns and fraud detection Google Cloud isn t just a spot solution for solving an issue it s a core competency for us that can be leveraged across the entire company Related ArticleUSAA and Google Cloud work together to speed auto claimsLearn how USAA is using machine learning to speed up the auto claims process Read Article |
2021-03-19 16:00:00 |
GCP |
Cloud Blog |
What industry leaders teach us about the future of data |
https://cloud.google.com/blog/products/data-analytics/the-future-of-data-from-industry-leaders/
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What industry leaders teach us about the future of dataAlmost two thirds of leading organizations claim that creating data rich platforms is one of the best ways they can “future proof their business The research commissioned by McKinsey amp Company highlights that one of the attributes of industry winners is that they don t just think of data as a component of their business they act as if “Data is the business What does this mean for your company How can your team develop practices and perspectives that will allow it to stay ahead of the game There s no doubt that data is the essential ingredient for business transformation across analytical and transactional applications Once generated it powers deeper AI driven business insights helps companies make better real time decisions and is also the basis for how companies build and run their data driven applications Google Cloud customers have taught us that there are three key dimensions to a winning data strategy leaders seek to build architectures that are Open Intelligent and Flexible In this blog we explore what they each mean and how you can apply them An Open ApproachWhile it might be logical to believe that tightly integrated and closed IT environments allow for more value creation through better control the pace of technology innovation has shown to outstrip a company s ability to build the solutions its needs from a handful of technologies let alone get all the data it needs from a single source stored in the same cloud In its latest forecast IDC stated that would be the year of Multi Cloud This makes sense whether you re in manufacturing retail or healthcare your business requires that you work with partners who most likely have made choices different from yours the data you need the protocols you use and the applications you ll collaborate around are bound to be heterogeneous A CIO s reality is one of multiple interfaces multiple technology stacks and multiple clouds And in order to win she needs to architect environments that are both open and adaptable to this “multiplicity This multiplicity extends beyond the choice of a cloud or a datastore It also applies to her organization s ability to build around its partners business models Open Source is an important consideration of an enterprise modern stack and as it has been noted numerous times previously open source software has the potential to take over the world We note that the companies that outpace their competitors ability to innovate also partner with vendors who have invested in open source at their core By embracing open source early industry leaders can contribute to the growth of a wider ecosystem and they benefit from the imagination unleashed by the community faster Being open in means starting from the community up embracing and enabling its choices across multiple clouds multiple vendors and multiple business models commercial and open source For more we suggest Three ways Google Cloud delivers on hybrid and multi cloud today hereBringing multi cloud analytics to your data with BigQuery Omni hereGoogle Open Source Site hereMore Intelligent InsightsLeaders will also find that this “Open mindset accelerates the operationalization of critical workloads like Artificial Intelligence for example According to Gartner “by of enterprises implementing AI orchestration platforms will use open source technologies alongside proprietary vendor offerings to deliver state of the art AI capabilities Being “Open is thus a key attribute of the “Intelligent Enterprise But what does it mean to be “Intelligent We ve found that “Intelligence materializes in two ways at leading organizations There is “Intelligence in Operation and “Intelligence in Innovation “Operational Intelligence refers to the methods used to optimize the operation of infrastructure A great example of such intelligence can be found in Google s Active Assist which provides policy cost network compute data and application platform intelligence Intelligence in Operation refers to “self tuning “self healing or “self driving capabilities and the use of algorithms to increase operational efficiency and reliability The second type of intelligence refers to the use of Artificial Intelligence to improve customer experiences and accelerate the creation of insights Product recommendation solutions can help consumers discover better products and anomaly detection systems can help financial analysts detect fraud faster to protect customers and their company I often joke that “A I doesn t just stand for “Artificial Intelligence but that it also stands for “Applied and Invisible The reason for such a pun is that over the years I ve learned from customers that AI has been most useful to them when it was well embedded in the applications that support them and when it is applied to specific business problems and use cases You ll find that the opportunity to democratize the consumption of artificial intelligence comes by enabling its integration with the applications your users already know and love Take a look at Veolia VEOEY a French transnational utilities company and how it enables its non technical employees to get answers fast through Data QnA a natural language interface for analytics You might also find the example of PWC familiar to your own needs the global professional services organization uses Connected Sheets as part of its efforts to make data more accessible across its workforce Functionality like Sheets Smart Fill or Sheets Smart Cleanup are additional ways a company can take advantage of Google AI natively built into familiar applications When looking for intelligence look for modern applications that are built from AI and from the Data up Look for tools that aim at democratizing access to analysis and artificial intelligence to more people As more people get access to machine learning capabilities in applications they know and love the faster your company will achieve its goal to become an “Open and Intelligent Enterprise For more we suggest How Toyota Canada X their conversions by using Embedded Machine Learning here How PwC Connected Sheets to scale data insights hereWant to get started Use any of our Design Patterns here Flexibility of ChoiceOn the way to building an open and intelligent data architecture your company might encounter friction You might find the pricing models of the technologies you need to combine rigid or incompatible with one another You might find that certain technologies work well during your evaluation of pilots and at small scale but fail to perform when met with the reality of your fast growing and real world workloads And you might find solutions that are effective for batch level work don t work for your real time needs forcing you to pull from completely different toolsets to accommodate your needs When it comes to pricing scale and the versatility of functionality don t compromise Choice and Flexibility are key ingredients to your success for the future of enterprise data architecture is composable According to Gartner “by of organizations will combine components from three or more analytics solutions to build business applications infused with analytics that connect insights to actions Beware the “law of the instrument The “composability trend will have consequences with the types of vendors you decide to partner with Increasingly you will find that the answer rarely comes from one vendor alone Rather value will be created through a well coordinated ecosystem that is both technologically open and offers choice of business models and deployment options A key practice industry leaders observe is to “beware the law of the instrument The “law of the instrument or “the law of the hammer is a cognitive bias that involves an over reliance on a familiar tool As Abraham Maslow said in I suppose it is tempting if the only tool you have is a hammer to treat everything as if it were a nail Industry leaders study their use cases carefully They focus on the type of scenarios they aim to enable and the productivity they accelerate by employee category aka personas They inspect the core capabilities of the solutions they aim to deploy in order to maximize their effectiveness around what they have been primarily built for aka center of design Next time a vendor offers its data lake solution to serve as a data warehouse ask what you will gain and what you will lose While convergence across these technologies is definitely occurring your company will need to assess trade offs before stretching the use of a particular solution beyond its center of design Remember a hammer can do a lot of things but it was primarily built to push down nails You may also demand that the same product might be licensed to you differently based on your use cases Take a look at Google BigQuery pricing options The same data warehouse product can be used on different constructs pay per query on demand allocation flat rate or a mix of both Another example includes Dataflow FlexRS a pricing option that reduces batch processing costs by using advanced scheduling techniques Examples of organizations that have successfully built Open Intelligent and Flexible data architectures include Unity combining technologies like Dataproc Dataflow amp BigQuery Another great example is how Vodafone executes on its vision for a Data Ocean for all users and all data We hope you can learn from each of the above customers the way we have Please reach out to our team if there is anything we can do to help you towards a more Open Intelligence and Flexible World For more we suggest Dataflow in a minute hereHow Unity is “making real time real easy hereHow Vodafone Built a Data Platform on Google Cloud below IDC Press Release IDC Expects to be the Year of Multi Cloud as Global COVID Pandemic Reaffirms Critical need for Business Agility March Gartner Predicts Operational AI Infrastructure and Enabling AI Orchestration Platforms Chirag Dekate et al December Gartner Predicts Analytics BI and Data Science Solutions ーPervasive Democratized and Composable Austin Kronz et al January Related ArticleWhy Verizon Media picked BigQuery for scale performance and costSee the proof of concept POC numbers that Verizon s Yahoo got when testing and verifying the improved performance cost and scale of B Read Article |
2021-03-19 16:00:00 |
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