投稿時間:2021-06-07 16:42:45 RSSフィード2021-06-07 16:00 分まとめ(55件)

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TECH	Engadget Japanese	アップルがWWDC21で「マインド」アプリ発表の噂。メンタルヘルス関連機能か	https://japanese.engadget.com/apple-wwdc21-mind-mentalhealth-063033224.html	applewatch	2021-06-07 06:30:33
TECH	Engadget Japanese	アップル、WWDC基調講演後に Apple Music の空間オーディオ関連イベントを予告	https://japanese.engadget.com/apple-music-spatial-audio-event-060034786.html	apple	2021-06-07 06:00:34
IT	＠IT 全フォーラム 最新記事一覧	Google、OSSパッケージの依存関係を可視化した実験的サービスを発表	https://www.atmarkit.co.jp/ait/articles/2106/07/news100.html	Google、OSSパッケージの依存関係を可視化した実験的サービスを発表Googleはオープンソースプロジェクトの依存関係などを可視化した実験的サービス「OpenSourceInsights」を提供開始した。	2021-06-07 15:30:00
IT	ITmedia 総合記事一覧	[ITmedia Mobile] ドコモの「Xperia Ace II SO-41B」のカメラ回りとmicroSD回りに不具合発生　対策のソフトウェア更新は6月中旬を予定	https://www.itmedia.co.jp/mobile/articles/2106/07/news106.html	itmediamobile	2021-06-07 15:45:00
IT	ITmedia 総合記事一覧	[ITmedia PC USER] 国内クライアント仮想化関連市場の予測をIDCが発表	https://www.itmedia.co.jp/pcuser/articles/2106/07/news105.html	idcjapan	2021-06-07 15:22:00
IT	MOONGIFT	sqliteviz - オフラインでも使えるWebベースのデータビジュアライズ	http://feedproxy.google.com/~r/moongift/~3/klevDCBNYTo/	sqlitevizオフラインでも使えるWebベースのデータビジュアライズデータのビジュアライズを行う際に、Excelなどの表計算ソフトウェアを使っていないでしょうか。	2021-06-07 17:00:00
TECH	Techable（テッカブル）	アルコール・薬物依存症に悩む人サポート！ AIを用いた行動変容促進モデルを共同開発	https://techable.jp/archives/155983	共同研究	2021-06-07 06:00:42
TECH	TechAcademyマガジン	子ども向けプログラミングコンテストに挑戦してみよう！おすすめ6選	https://techacademy.jp/magazine/66154	子ども向けプログラミングコンテストに挑戦してみようおすすめ選プログラミング学習に慣れてきたら、ぜひ挑戦してほしいのがコンテストや大会です。	2021-06-07 06:23:20
IT	情報システムリーダーのためのIT情報専門サイト IT Leaders	TIS、施設見学会・イベントをオンラインで開催できる「XR Campus - ツアー」を発表 | IT Leaders	https://it.impress.co.jp/articles/-/21590	年月下旬から、リアルタイム配信機能など一部の機能を制限したトライアル版税別万円からを提供する。	2021-06-07 15:17:00
python	Pythonタグが付けられた新着投稿 - Qiita	【Python】結局"i += 1"と" i = i + 1"どっちが速いの?	https://qiita.com/yusuke_s_yusuke/items/fdd3921aee50e543c465	【Python】結局quotiquotとquotiiquotどっちが速いの概要iとiiの処理速度を比較します。	2021-06-07 15:45:44
js	JavaScriptタグが付けられた新着投稿 - Qiita	コピペで最速で試すTwilioビデオ通話の実装 #twilio_online_contest_2021	https://qiita.com/n0bisuke/items/d156f553de349d2c9722	また、今回二つのアクセストークンを作成しましたが、アクセストークン一つで良いのではと思う人もいそうです。	2021-06-07 15:49:59
Program	＠IT Coding Edgeフォーラム 最新記事一覧	Google、OSSパッケージの依存関係を可視化した実験的サービスを発表	https://www.atmarkit.co.jp/ait/articles/2106/07/news100.html	Google、OSSパッケージの依存関係を可視化した実験的サービスを発表Googleはオープンソースプロジェクトの依存関係などを可視化した実験的サービス「OpenSourceInsights」を提供開始した。	2021-06-07 15:30:00
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	EclipseでSpringBootのGradleアプリをデバックする方法について	https://teratail.com/questions/342656?rss=all	またコマンドプロンプトで実行して試そうともしましたが、設定しても実行時にコマンドプロンプトが開きませんでした。	2021-06-07 15:36:59
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	【Selenium】php-webdriverでHTMLソースコードを取得したい	https://teratail.com/questions/342655?rss=all	【Selenium】phpwebdriverでHTMLソースコードを取得したい前提・実現したいことseleniumphpwebdriverでソースコードを取得したいです。	2021-06-07 15:36:50
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Androidアプリ開発[Java] ListViewのカスタマイズでBaseAdapterで値を保持するためのViewHolderといったクラスは必要なのか。	https://teratail.com/questions/342654?rss=all	Androidアプリ開発JavaListViewのカスタマイズでBaseAdapterで値を保持するためのViewHolderといったクラスは必要なのか。	2021-06-07 15:34:06
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	フォームの非同期送信時にロードアニメーションを実装したい	https://teratail.com/questions/342653?rss=all		2021-06-07 15:34:02
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	selectで選択したものを、ボタンを押さず瞬時にcontrollerに渡すには	https://teratail.com/questions/342652?rss=all	controller	2021-06-07 15:32:09
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	【Rails】ActiveRecord::Base.transaction do ~ end にて気になること と エラー処理に関して (エラーメッセージ)	https://teratail.com/questions/342651?rss=all	【Rails】ActiveRecordBasetransactiondoendにて気になることとエラー処理に関してエラーメッセージ「nbspRailsnbspAPInbsp例外処理nbspcreatenbspornbspcreateなのかnbspベストプラクティスを知りたいnbsp」nbspにてご回答いただけた内容に関しての質問になります。	2021-06-07 15:27:16
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Googleフォームでアップロードされるファイル名の変更方法	https://teratail.com/questions/342650?rss=all	Googleフォームでアップロードされるファイル名の変更方法前提・実現したいことGoogleフォームにて、集計した画像のファイル名の自動変更のプログラムを作成しようと考えております。	2021-06-07 15:22:19
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	配信サイトの構築方法	https://teratail.com/questions/342649?rss=all	ahtml	2021-06-07 15:19:40
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	ソースコードについて	https://teratail.com/questions/342648?rss=all	ソースコードについて前提・実現したいことここに質問の内容を詳しく書いてください。	2021-06-07 15:18:36
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Visual Studio Codeを使用したSpring Bootプロジェクトのコピー方法を教えてください	https://teratail.com/questions/342647?rss=all	VisualStudioCodeを使用したSpringBootプロジェクトのコピー方法を教えてください前提・実現したいことVisualnbspStudionbspCodeとSpringnbspBootを使用し、データベースの学習を行っています。	2021-06-07 15:14:37
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	fetch_allでエラー500がでてしまう。（クラスを呼び出してfetchしたい）	https://teratail.com/questions/342646?rss=all	fetchall で エラー が で て しまう 。	2021-06-07 15:09:20
Ruby	Rubyタグが付けられた新着投稿 - Qiita	killコマンドでサーバーをダウンする	https://qiita.com/s84a135m/items/50036450ebef27bd78a0	killコマンドでサーバーをダウンするcloudでrailsserverを立ち上げた後controlCでサーバーを落とせなくなりました。	2021-06-07 15:22:07
AWS	AWSタグが付けられた新着投稿 - Qiita	作りながら覚えるTerraform入門(3) - VPC編	https://qiita.com/m-oka-system/items/bba8d32d57142a870ce5	第回の基本編ではとりあえずVPCを作成してみましたが、今回はサブネットやルートテーブルなど含めて改めてVPC関連のリソースを作成してみましょう。	2021-06-07 15:59:04
golang	Goタグが付けられた新着投稿 - Qiita	jpcalでpanic goroutine 1 [running]: github.com/holiday-jp/holiday_jp-go.init.0()	https://qiita.com/michida/items/43a17137481021d7d33e	jpcalでpanicgoroutinerunninggithubcomholidayjpholidayjpgoinitカレンダーを確認するためにマウスを触るのがめんどくさいので、CUIでカレンダーを見ようと思い、calコマンドを入れたのですが、休日、祝日がわからない為、うーんと思っていたら作っている方がいますね。	2021-06-07 15:03:48
GCP	gcpタグが付けられた新着投稿 - Qiita	GCS上のTSVファイルからBQテーブルを作成する	https://qiita.com/satoru-ka/items/c7fc216b8f0d4e4e29cf	CloudConsoleはCSVファイルであればGCSインポートでテーブル作成できるのですが、TSVファイルには対応していないためCloudShellでの転送処理が必要となります。	2021-06-07 15:31:30
海外TECH	DEV Community	Angular : How to add lightbox in your angular project just in 10 minutes?	https://dev.to/rajeshkumaryadavdotcom/angular-how-to-add-lightbox-in-your-angular-project-just-in-10-minutes-2el6	Angular How to add lightbox in your angular project just in minutes Demo Step Install lightoboxOpen your terminal and run below command npm install save ngx lightboxStep Update your angular json styles node modules ngx lightbox lightbox css Step Add Lightbox Module to your app module tsimport LightboxModule from ngx lightbox NgModule imports LightboxModule You can do the next steps in your choice of components but I am assuming I need to make lightbox in app component html Step Add markup to html of your componentapp component html lt div ngFor let image of albums let i index gt lt img src image thumb click open i gt lt div gt Step Add lightbox code to your component s ts file app component tsjavascriptimport Lightbox from ngx lightbox export class AppComponent private album Array constructor private lightbox Lightbox for let i i lt i const src demo img image i jpg const caption Image i caption here const thumb demo img image i thumb jpg const album src src caption caption thumb thumb this albums push album open index number void open lightbox this lightbox open this albums index close void close lightbox programmatically this lightbox close	2021-06-07 06:49:51
海外TECH	DEV Community	Azure Update Management	https://dev.to/officialcookj/azure-update-management-1p89	Azure Update ManagementAn Azure Automation Account has a feature called Update Management that can manage your Windows and Linux Operating System OS updates for Azure On Premise and other third party Cloud environments In this post I will explain what Update Management is how to switch it on and how to add your servers to it What is Update ManagementUpdate Management is a toggle on feature of Azure Automation Account Within Update Management you can add servers from multiple environments and manage both Windows and Linux updates Microsoft does have a supported Operating Systems list here but I will outline in brief what is supported Windows R excl core Centos excl Red Hat Enterprise SUSE Enterprise Ubuntu From within Update Management you can assess servers for missing updates configure a schedule for updates to run within a maintenance window and configure what to include exclude from the update cycle How do I enable Update ManagementTo enable Update Management you need to create a Automation Account and Log Analytics Workspace Once you have both of these created Open the Automation Account you createdSelect Update Management from the left side menuHere you are presented with a configure window Select the Log Analytics Workspace you created and click Enable to complete Update Management is now enabled and will monitor any servers that have been configured to use the Log Analytics Workspace How do I add Azure VMsTo add an Azure VM all you need to do is either From within the Update Management blade within the Automation Account resource select Add Azure VM from the top menu barSelect a VM from the list provided note that you may have to move Log Analytics Workspaces if it reports the VM using an alternative orFrom within the Virtual Machine select the Guest host updates blade from the left side menuNow select the Log Analytics Workspace and the Automation Account to be used for updates How do I add On Premise ServersFirst you need to install the Log Analytics agent onto either Windows or Linux When running the installer you will be asked to select a Log Analytics Workspace select the one you created earlier Once the installer completes allow minutes for it to appear in Azure To add the server to Update Management From within the Update Management blade within the Automation Account resource select Add non Azure VM from the top menu barSelect a server from the list provided What type of update can I manageOn Windows you can manage Critical UpdatesSecurity UpdatesUpdate RollupsFeature PacksService PacksDefinition UpdatesOn Linux Critical and Security UpdatesOther Updates those not specified as Critical or Security How do you schedule updatesFrom within the Update Management blade within the Automation Account select Schedule update deployment from the top menu Here you can select The type of OS you want this deployment to apply to cannot be both Windows and Linux What Virtual Machines or groups containing VMs you want to apply this toWhat update categories you want to apply as part of this scheduleAny updates to include leaving this blank means it will do them all or excludeMaintenance WindowDate and Time to startRecurrence if you want it to repeat Reboot optionsSelect Create once configured Use the Deployment tab to monitor the progress or history of a scheduled deployment	2021-06-07 06:40:59
海外TECH	DEV Community	AWS open source news and updates #71	https://dev.to/aws/aws-open-source-news-and-updates-71-opc	AWS open source news and updates th June Instalment Newsletter This week we have a number of security related projects covering reference best practice deployments of open source security tools as well as new tools that will help you identify misconfigured assets Another interesting project this week is moot a serverless project to help yo simplify your deployments On top of the new projects we have some great community and AWS blog posts on Kubernetes OpenSearch Eventbridge Atlas Keycloak Apache Kafka SQLAlchemy AWS Copilot OpenShift and many more Make sure you also check out the events section with a little over a week to go before Open Amazon have you registered yet Do you love Rust In the past few weeks there have been some great new contributions to the Rust SDK We had MediaLive and MediaPackage services as well as improvements to others such as this one but I know they are looking for more folks to roll their sleeves up and get stuck in If you are looking to get into Rust then this might be a great opportunity as the project has a number of good first issues and documentation tasks that might make a good starting point Please help me improve this newsletterThank you to those who have provided such great feedback already I am currently reviewing and thinking how to incorporate the suggestions I would still love to hear from more of you and I have more AWS credit vouchers as a thank you for taking the time to complete the survey The first will get an AWS credit voucher for so thank you again It is only questions and will probably only take you a minute or two to complete Take me to the survey Celebrating open source contributorsThe articles posted in this series are only possible thanks to contributors and project maintainers and so I would like to shout out and thank those folks who really do power open source and enable us all to build on top of what they have created So thank you to the following open source heroes Alberto Falzone Dario La Porta Marcilio Mendonca Srijit Mitra Mandakini Saroop Peiyu Wu Pallavi Ravishankar Jason Nicholls Tim Gustafson Vastin He Min Xia Tori Hara Vu Dao Kris Howard Amitai Stern David Boyne Kyle Davis Dotan Horovits Augusto Valdivia Łukasz Budnik Gary Stafford Chris Christensen Ryan Petrich Ryan Niksch Noga Yam Amitai and Sean Turner Make sure you find and follow these builders and keep up to date with their open source projects and contributions Latest from open source projectsaws sdk client mockaws sdk client mock when Maciej Radzikowski was looking for greater support for testing when using the AWS JavaScript SDK v he created this library to provide mocking it in unit tests If you are a users of the AWS JS SDK v then the clear documentation with examples should help you get started straight away mootmoot it has been a long time since I have walked along Cuba St enjoying the fine Sushi in Wellington New Zealand and hailing from the same city we have this project from Sean Turner moot This is a serverless solution that implements a release dashboard that provides a single button press for deploying code changes to production and integrates with GitHub and GitLab One for the weekend I think Apache Airflow and AWS CodeArtifactmwaa with codeartifact this project will be super helpful if you want tighter control over where you install your Python dependencies in your Apache Airflow DAGs when using Managed Workflows for Apache Airflow MWAA by integrating with AWS CodeArtifact Aside from more control this enables users to avoid providing MWAA with an internet access via NAT Gateway and hence reduce the cost of their infrastructure patrolaroidpatrolaroid this open source project from Ryan Petrich looks interesting for those looking for the latest security tools Patrolaroid snapshots AWS instances and buckets to uncover malware backdoors cryptominers toolkits and other attacker tomfoolery that you probably don t want in your prod Software engineers security engineers and cloud administrators only need familiarity with YARA and the AWS Management Console to use it I am going to have to check this out for sure nexus oss on awsNexus Repository is an open source artefact repository that supports various formats Maven Java npm NuGet Helm Docker Android APT GO and many more integrates nicely with a broad range of developer tools and is really useful when helping to create nice reports of your applications and what open source libraries they are using This project nexus oss on aws will help you to deploy a Nexus Repository via Helm on Amazon EKS red bucketred bucket this open source tool from Lightspin scans your Amazon S Buckets for public access and cross account attacks and analyses bucket s block public access settings bucket policy and ACL and object ACL Noga Yam Amitai has put together a couple of blog posts to help get you started xroad security serversxroad security servers X Roadis an open source solution for secure data exchange between organisations Data is exchanged on X Road through access points called Security Servers implementing the same technical specifications This project provides best practices for deploying those on AWS through the lens of the Well Architected Framework aws sso loginaws sso login this tool from Chris Christensen is his first Go application and this tool will help you automate the process of logging into multiple AWS accounts using AWS s SSO service GrandNodeGrandNode GrandNode is a GPLv licensed open source e commerce tool built in NET that last week introduced support for AWS DocumentDB Community open source postsdeps devLast week Google launched a rather nice tool that allows you to explore the dependency graph of your open source projects You can check the tool out at and try it out on some of your projects to see the graph and reports created Python and Net packages will arrive at some point but you should take a look at this project One of the ways I think it might help folks is in pulling together things such as the licences used which this helps simplify Nice job EventBridge AtlasDavid Boyne has been prolific over the past few months releasing some great open source project including EventBridge Atlas In this post AWS EventBridge with Flow Node Diagrams he walks you through the recently added visual output that he has incorporated using React Flow Very nice indeed KubernetesKubernetes based Microservice Observability with Istio Service Mesh this is the first of a two part series from Gary Stafford that will explore a number of popular open source observability tools integrated with the Istio service mesh These tools include Jaeger for distributed transaction monitoring Kiali for application visualisation Prometheus for metrics collection and alerting and Grafana for metrics querying visualisation and alerting I have read quite a few of these type of blog posts over the past few months and the clarity and depth of this sets it apart from all the others A must read this week OpenSearchMy First Steps in OpenSearch Plugins sees Amitai Stern share his experiences as part of creating his first OpenSearch plugin This is a really great post and whether you are considering contributing to OpenSearch or not the approach and topics he covers apply to many if not all projects Bonus If you missed the podcast OpenSearch The Open Source Successor of Elasticsearch featuring Kyle Davis and Dotan Horovits takes a look at OpenSearch starting with the origins and then taking a look at how the community and project are progressing duckyPadGreat post from colleague Kris Howard sharing her build out of the duckyPad What is that I can hear you all asking well it is a rather nice piece of open source hardware software that allows you to create your own Stream Deck setup except that you build it yourself Kris walks you through the build out everything from the hardware to software and she even shares her key setup with you Even though I already have a Stream Deck this just looks so nice I might have to invest frpfrp is an open source reverse proxy to help you expose a local server behind a NAT or firewall to the Internet Vu Dao has put together this post FRP Fast Reserve Proxy Connect To Database In Private Network on how you can use this open source tool to deploy via AWS CDK a solution that allows you to access resources in a private network in this instance connecting to a database KeycloakKeycloak is an open source Identity and Access Management project I have covered in previous editions of this newsletter and Łukasz Budnik takes a closer look at this project in his post Why I choose Keycloak over AWS Cognito comparing how this compares to AWS services such as Cognito and some of the considerations you might want to think about as you architect your solutions TerraformAWS Data Lake with Terraform AWS Community Builder Augusto Valdivia kicks off a six part series helping you to create your data lakes on AWS via Infrastructure as Code IaC in this instance using Terraform He aims to cover how you can use Terraform scripts to allow for fast and repeatable deployments efficient testing and to decrease recovery time in case of an unplanned event AWS and Amazon open source postsAWS Distro for OpenTelemetryIn this post Managing AWS Distro for OpenTelemetry ADOT Collector with AWS Systems Manager Distributor Vastin He and Min Xia discuss the design for packaging and publishing the ADOT Collector so that you can simplify how you roll this out at scale with the help of a number of AWS services such as Systems Manager Distributor and Systems Manager Distributor using GitHub Actions to provide a simplified installation experience SQLAlchemySQLAlchemy is an open source MIT SQL toolkit and object relational mapper ORM for the Python programming language Marcilio Mendonca and Srijit Mitra have written this post Use Python SQLAlchemy ORM to interact with an Amazon Aurora database from a serverless application on how developers can migrate their monolithic applications to a serverless stack using Amazon API Gateway and Lambda while continuing to use SQLAlchemy taking a look at how separation of duties between the database and the development team can be achieved Linux GRUBPallavi Ravishankar and Jason Nicholls post Using EC Serial Console to access the GRUB menu and recover from boot failures takes a look at how you can use a recent new capability of Amazon EC the EC Serial Console to troubleshoot boot failures showing how you can access the GNU Grand Unified Bootloader GRUB to directly fix the problem in this post they are using Amazon Linux but other flavours will work too I am so happy that this exists as you never know when you might need it I am sure we all have our own Kernel GRUB stories feel free to share them in the comments AWS CopilotCopilot is an open source command line interface created by AWS and was originally created to make it easy for developers to build release and operate production ready containerised workloads on Amazon ECS and AWS Fargate In this post Enabling continuous workflows for AWS App Runner service with persistency using AWS Copilot CLI Tori Hara takes a look at how Copilot has been updated to support AWS App Runner a new service that provides the simplest way to build and run your containerised stateless web application on AWS Copilot was updated so you can run your containerised application on App Runner with Copilot OpenShiftRed Hat OpenShift Service on AWS architecture and networking Ryan Niksch takes a look at customers who are moving migrating their OpenShift workloads to ROSA Red Hat OpenShift on AWS and explores the AWS and OpenShift architecture differences across a number of different use cases such as private public looking at the resources and components where these are placed what are the implementation differences when deploying single vs multi Availability Zone clusters and differences between public and private clusters Apache KakfaMandakini Saroop and Peiyu Wu have put together this post Setting up AWS Lambda with an Apache Kafka cluster within a VPC which is a follow up to a previous one I shared on how to use AWS Lambda functions as a consumer of Apache Kakfa streaming data and in this post they dive into setup considerations and best practices you should think about if you are considering doing something similar MySQLTim Gustafson writes how you can reduce or eliminate application down time associated with database schema changes in your MySQL and MariaDB applications in Upgrade Amazon RDS for MySQL or MariaDB database schemas with minimal downtime The steps described in this post should allow you to make database schema changes that reduce the impact to your application improving the end user experience and reducing the burden of database schema changes High Performance Computing HPC If you want to do High Performance Computing HPC there is a good chance you are going to be using a lot of open source tools to help you across all the parts of your workflows In this post from Alberto Falzone and Dario La Porta Building highly available HPC infrastructure on AWS take a look at some of those open source projects and how together with AWS you can build highly available HPC infrastructure Quick updatesAWS Systems ManagerThe AWS Systems Manager Session Manager plugin for the AWS Command Line Interface AWS CLI is now open source Customers can access the source code for the Session Manager plugin for the AWS CLI on GitHub contribute to its development and use it as a building block to embed Session Manager capabilities into their own applications Customers get greater visibility into the design and implementation of the Session Manager plugin Developers can contribute to its development by making suggestions reporting issues and submitting pull requests With the Session Manager plugin for the AWS CLI you can start and end sessions with your compute nodes managed by Systems Manager from your local machine using the AWS CLI You can install the Session Manager plugin for the AWS CLI as an installer package for different operating systems including Windows Linux and macOS With open source you can now customise the plugin to include the ability to work with Session Manager sessions within any custom application for your users Events for your diaryMaintainer Weekweek of June thMake sure you check out this week long event starting on the th of June for open source maintainers to gather share and be celebrated You can find details of all the weeks sessions on their GitHub page with Upstream on June th Global Maintainer Summit on the th The Changelog Maintainer Spotlight on the th and FundOSS on the th Open AmazonJune th am PM EDTIf you missed it last week next week we are running Open Amazon a celebration of open source on AWS with a fabulous cast of speakers a fantastic broad set of topics and the event will be fully live so you can get your chance to interact with the speakers and the broader open source and AWS community Check out the blog post What s up with open source at AWS Attend Open Amazon live on Twitch June or just register to get a handy calendar invite HERECloud Native Dayrd September Bern SwitzerlandWhat is this an in person event returning A stellar line up including our own Michael Hausenblas an event looking at CNCF projects and the future of IT Find out more and to view prices register by clicking here Stay in touch with open source at AWSI hope this summary has been useful Remember to check out the Open Source homepage to keep up to date with all our activity in open source by following us on AWSOpen	2021-06-07 06:38:49
海外TECH	DEV Community	Cloud Cost Optimization: 10 Lessons Learned from Scanning 45K AWS Accounts	https://dev.to/devgraph/cloud-cost-optimization-10-lessons-learned-from-scanning-45k-aws-accounts-4n7a	Cloud Cost Optimization Lessons Learned from Scanning K AWS AccountsBy Darren BroemmerWhere there is a cloud there s also a high chance of receiving a stinging cold shower of unexpected cloud computing costs That s how Adobe executives felt when their development team dropped on cloud computing in one day by accident racking up a weekly bill of million Such cloud overspending happens in every company albeit on a smaller scale Because public cloud vendors made it simple to provision resources in one click Unpredictable cloud computing costs may appear to be a moderate “price to pay for the ability to stay connected and operational with resilient cloud computing extended to business Yet if left uncontained ongoing cloud operating costs can offset all the revenue gains received from migration Why cloud cost optimization should be ruthlessExodus to the cloud is real Last year enterprise spending on cloud computing increased by hovering at billion and finally beating data center investments But roughly the same amount ー to ーof resources go to waste as per Flexera s State of the Cloud Report Overspending on the public cloud is rampant Over of public cloud computing costs exceed the original budget Image Source How come public cloud cost containment remains problematic especially given the fact that every public cloud platform offers tools galore for cloud cost optimization After analyzing over AWS accounts using CloudFix our AWS cost optimization software we found that the biggest issue with cloud resource wastage is rarely a one off event though this happens too but instead is a continuous issue As the corporate cloud infrastructure expands the intricacies of containing cloud costs among provisioned instances sandbox environments storage systems and even multiple clouds become too twisted Moreover cloud providers themselves don t really help •Usage based systems gloss over the real problem ーlack of clarity into how those resources are actually consumed by users systems and connected devices across all cloud offerings •The AWS Azure and Google Cloud ecosystem of cloud services has also grown increasingly complex to the point where even experienced cloud architects cannot always select the optimal types of configurations But the above doesn t mean that you should be leaving cloud money on the table On the contrary you should get proactive with recuperating those costs We ll show you how it s done on AWS How to optimize cloud computing costs on AWSFrom one cloud overspender to another our AWS bill was overblown too Across AWS accounts we were wasting thousands of dollars Of course we tried all the manual fixes and a bunch of cloud cost optimization tools too Most solutions pointed towards resource hungry applications Yet none showed how to fix the underlying issues Since we have over developers we thought that perhaps instead of asking all of them to look for fixes we should build a tool to do just that That s how CloudFix came up CloudFix is an automated AWS cost management tool that identifies and patches leaking cloud spending Installed in one click CloudFix runs in the background without any disruptions and saliently reclaims back pointless infrastructure spending Today on a M annual spend across several AWS accounts we claw back about K in annualized savings every week and drive over in annualized cloud cost saving for our clients And here are lessons we learned on our journey of reducing cloud costs Get engineers to evaluate the costs firstThe first lesson is simple people drive up cloud computing costs You have two concurrent groups who ll influence the costs Execs and finance folks who estimate the total cloud budget for the quarter year Their projections are mostly based on past usage and growth plans If you fail to address the overspending in Q it will migrate and magnify during the next planning cycle Engineering teams The architecture choices your developers make each day will determine the total cloud bill No fancy AWS cost management tool will help you unless you explain the importance of cloud financial management Ideally the IT and Finances departments should be well aligned on •Estimated cloud computing costs and the reasoning behind some caps •Resource tagging decisions which resources are for testing and which are for production •Consistent costs ーspending on predictable budgeted workloads and reserved instances •Variable costs ーon demand and spot instances auto scaling costs serverless computing etc When the two have a mutual understanding of what constitutes a reasonable cloud bill they don t fight over subtle deviations but focus on optimizing the big picture of costs Do an inventory of all cloud resourcesDoing a tally of all your AWS resources is the cornerstone to subsequent optimization This is a basic but important step You can t fix what you cannot see You have two goals here •Set up automation for shutting down idle requirements when not in use For example switching off development and test environments outside of working hours can lead to up to in savings •Find and fix over provisioned resources Categorize these into buckets such as “no longer needed “can be downgraded “worth migrating to an alternative service Here are some common types of over provisioned AWS resources to hunt for •Underutilized clusters in Amazon Redshift•Idle instances in Amazon RDS•Idle cluster nodes in Amazon ElastiCache•Cases of suboptimal container resource usage•Any other “stray instances or VMsThe above can be daunting and should be automated once you have a chance Consider migrating to AWS gp EBS volumesLast year Amazon launched gp volumes for Amazon EBS Elastic Block Store in lieu of gp which most teams use The advantage of gp is that you can automatically increase IOPS and throughput without provisioning extra black storage capacity Overall gp can provide predictable IOPS baseline performance and MiB s regardless of volume size which makes it attractive and cost effective for high load applications But we also found that it is worth migrating gp volumes with less than IOPS to gp By doing so you can save around yearly as gp volumes cost GB compared to GB for gp Read more about migrating from EBS gp gp to gp and estimated cloud cost savings Watch out for AWS EBS volumes unattached to EC instancesStaying on the subject of Amazon EBS did you know that you are getting billed even when your instances are stopped Amazon charges for all EBS volumes attached to EC instances whether they are in use or not Because unlike instances EBS volumes are billed at “gigabyte months Thus ask your dev people to delete volumes and snapshots they no longer need after they backed up the data P S CloudFix can do that for you automatically Reduce oversized resources on EC instancesRight sizing resources to instances may seem like an art rather than science when you don t how much is “too big So first check the historical data on your instance usage You can analyze CPU utilization and weed out a set of candidates for de provisioning But don t go full galore Instead reduce instance size progressively During week one switch the instance from t xlarge to t large Analyze resource consumption and performance If all is good go another notch lower during the second week and see what happens Also if you notice that a reduced instance demands extra capacity don t rush to upscale it via the standard route Instead check in with AWS Spot ーan on demand instance service upselling spare capacities at a nice discount up to Prices are set by Amazon and dynamically adjusted depending on the current demand and supply Spot instances are well suited for fault tolerant workloads such as containerized apps CI CD or big data analytics Try Amazon S intelligent tiering if you run a data lakeAmazon S is a popular solution for hosting data lakes But the problem is that it s not the most affordable storage service so your cloud costs can get steep Especially if you have a data science team that loves pushing data into the lake and then forgetting about it Amazon S intelligent tiering service scans your data objects and automatically moves infrequently used assets into a lower cost storage tier You can configure the tool to auto move all objects that were not accessed for days to S One Zone Infrequent Access tier Then you can set it to push archival data to S Glacier and S Glacier Deep Archive which have lower costs compared to S Standard Good savings in both cases Alternate between Amazon S Infrequent Access and One Zone Infrequent AccessHigh chances are that you have a ton of non used data capable of tolerating lower availability Those objects are strong contenders for getting moved to S Infrequent Access IA or One Zone IA ーboth provide significantly cheaper storage Here are the availability tradeoffs •Amazon S Standard Availability Annual downtime m s•S Infrequent Access Availability Annual downtime h m•S One Zone Infrequent Access Availability Annual downtime d h mMoving your data to One Zone IA also means lower durability Since all your data will be stored in one region without replication in the event of major regional failure it will be unavailable or even lost Thus it may be not the best option for storing for instance compliance records Apart from availability you should also mind data retrieval costs for S IA The standard charge is per GB on top of the standard Data Transfer fee in S plus a per conversions charge from Standard S to Infrequent Access Finally the minimum billable object size is KB If you are transferring smaller data objects you still pay for KB of storage Look for discountsIt s ok to be a bargain seeker especially when your cloud bill is giving you shivers AWS as well as other public cloud providers have quite a few attractive saving plans AWS has plenty of discount plans to profit from Image Source A word of caution on reserved instances on AWS You can choose between Standard and Convertible reserved instances •Standard instances are more affordable but cannot be converted to another instance type But you can sell them on AWS Marketplace •Convertible instances cannot be re sold but can be upgraded to a more expensive instance type Note you cannot downgrade a convertible instance back So think twice before upgrading Bonus tip Go look for AWS credits Here are several ethical ways to get free AWS credits •Check if you qualify for AWS Activate•Attend AWS webinars and events ーyou ll learn something plus can get some free credits doled out•Apply for AWS Imagine Grant Program•Publish an Alexa skill and receive mo while it s active•Sign up for Ship program from Product Hunt for in credit Also look for other AWS partners You probably already have one in your current stack so go and claim your credit See if you can profit from Amazon EFS One ZoneAmazon Elastic File System Amazon EFS is a serverless flexible file system for storing shared data across EC instances ECS EKS AWS Lambda and AWS Fargate Till March the service automatically determined where they d store your data typically across several availability zones Now however you can choose your zone for EFS storage and transfer all the data to it Amazon EFS One Zone storage works similarly to One Zone Infrequent Access storage classes in S •Select a low cost region e g Virginia if you are US based •Enable configure lifecycle management•Transfer infrequently accessed dataEnjoy a lower cloud storage bill Do regular housekeeping of AWS RDSDatabase storage optimization often gets overlooked That s a shame because there s plenty of fixes and fine tunes you can do to reduce your AWS RDS costs On the surface RDS instances may appear similar to EC instances That s true but there are also several important caveats First unlike EC RDS supports only hourly billing Secondly the RDS DB instance cost varies depending on the relational database engine you are using AWS supports popular DB engines • open source MySQL PostgreSQL MariaDB• proprietary Amazon Aurora Oracle Microsoft SQL Server The licenses for the latter are not included in your RDS billing So you have to either bring your own license as in the case with Oracle and Microsoft or pay a higher hourly bill While changing a database engine is not the easiest task migrating to an open source solution or Amazon Aurora can pleasantly lower your cloud bill The second most important tip for optimizing AWS RDS costs is selecting the right types of instances Granted this is easier to do since you have just RDS database instance types unlike instance types on EC Still you have to stay mindful of your provisioning and usage patterns Here are some important caveats •RDS reserved instances can save you upfront costs But the discounts are tied to a specific DB instance family e g db m xlarge Meaning your discount only applies to instances in the same family regardless of size But you can t apply it towards a different instance family aka there are no Convertible reserved instances •DB Instance costs vary by region for both on demand and reserved instances Obviously reserved instances come with bigger cost savings But some may be surprised to the extent Here s a quick comparison of AWS region costs for on demand vs reserved db m xlarge instance with MySQL engine across regions •On demand US East year•Reserved US East year discount •On demand SA East year•Reserved SA East year discount Overall you can get at a saving by getting a reserved instance in a cheaper AWS region Thus consider doing a “spring clean to see if you could muster more reserved instances Finally you can also consider migrating to Aurora serverless ーa new on demand auto scaling version of the Aurora DB engine The benefit of Aurora serverless is that it bills you only for provisioned Aurora capacity units ACUs An ACU is GB of memory plus corresponding CPU and networking resources So when you decide to stop a database you are not using you ll only get charged for storage but not for workloads This can be a great option for housing databases with rarely accessed data or those kept at close reach for a postponed analytics project To Conclude Battle Cloud Cost with AutomationThe conversation about AWS costs is never an easy one to have not with the developers nor the finance people The first cohort is reluctant to waste precious time on optimizing AWS infrastructure and then breaking things instead of fixing them Plus no one wants to be the person in charge of “boring stuff such as resource tagging monitoring and optimization policy development AWS also issues so many updates that you probably need to hire a separate “watchdog to sift through these every other day The finance folks on the other hand do not always understand the challenges of estimating the monthly AWS bill when workloads vary and projects scale rapidly Yet they want to have precise numbers Our team was not a fan of the above dynamics Thus we have our automated AWS cost optimization platform that does all the scanning for you and then issues the fixes So the finance people get their numbers while developers don t have extra overheads and can stay focused on strategic initiatives Learn more about CloudFix	2021-06-07 06:09:50
海外TECH	DEV Community	Amazon Redshift ML - Creating Machine Learning Models with Standard SQL.	https://dev.to/aws-builders/amazon-redshift-ml-creating-machine-learning-models-with-standard-sql-3k97	Amazon Redshift ML Creating Machine Learning Models with Standard SQL The term Machine Learning is no longer just a marketing buzzword for tech products Nowadays it is the brain behind the scenes making intelligent predictions on the majority of application and software solutions that we interact with on a daily At AWS re Invent the AWS team announced the preview release of a machine learning feature for Amazon Redshift known as Amazon Redshift ML Now that the feature is generally available for all AWS regions I decided to take it for a spin by testing how accurate this feature is at solving common ML problems starting with a simple BinaryClassification problem This article goes through a step by step procedure of using standard SQL to create and train machine learning models within an Amazon Redshift database Building ML Model with Redshift MLRedshift ML is an Amazon Redshift feature that makes it easy for data scientists engineers or developers to create train and apply machine learning models using just SQL no other tool or language is needed Training of a machine learning model using Redshift ML is powered by Amazon SageMaker a fully managed machine learning service that is also available on the AWS platform Sagemaker is able to detect patterns from provided dataset to create a model Solving a BinaryClassification ML problem To determine how easy it is to make machine learning predictions with SQL on Redshift ML I decided to create a machine learning model that is able to predict the possibility of retaining customers churn using the customer activity data This exercise makes use of the Orange Telecom Customer Churn Dataset available on Kaggle Data PreparationSplitting the dataset after downloading the dataset from Kaggle the first step is to prepare the data for use in a Redshift database The data from Kaggle comes in two sets from the same batch but has been split by an ratio as more data is often desirable for developing ML models Train Set used to train the model and is made up of of the entire dataset Test Set to evaluate model performance made up of of the entire dataset We can implement the categorization of the data by combining the two datasets into one combined CSV spreadsheet and add an additional column called purpose with input values of train or test respectively for both datasets Out of the records available in our dataset of the records will be used to train the model and the rest will be used for evaluation Setup Redshift ClusterTo get started with Amazon Redshift we need to have a Redshift cluster setup for our data warehouse Each cluster runs an Amazon Redshift engine and contains one or more databases From the AWS web console navigate to the Amazon Redshift page from the list of services Clicking on the Create cluster button will bring you to the page shown below Input the cluster name in this case my cluster name is redshift cluster and workload type Redshift offers different node types to accommodate your workloads For this exercise I am selecting the smallest and cheapest node type dc large with a single node to save cost You also need to set up a master username and password that will be used to authorize connectivity with the cluster after creation Working with Redshift ML requires necessary permissions to access other AWS services such as S and Sagemaker You can associate up to IAM roles to a single Redshift cluster Import Data To RedshiftThere are multiple ways of importing data into a Redshift database For this exercise we use the S method to import data to Redshift First we have to upload the prepared CSV data into an S bucket and then use the COPY command to import the data from S into a dedicated Redshift table The SQL code snippet below is responsible for creating a Redshift table to import our data into CREATE TABLE orange telecom customers state varchar account length integer area code integer international plan varchar voice mail plan varchar number vmail messages integer total day minutes decimal total day calls integer total day charge decimal total eve minutes decimal total eve calls integer total eve charge decimal total night minutes decimal total night calls integer total night charge decimal total intl minutes decimal total intl calls integer total intl charge decimal customer service calls integer churn varchar purpose varchar After creating the Redshift table we will then import the CSV data into it using the Redshifts COPY command COPY orange telecom customersFROM s geospatial dev redshift orange telecom customers csv DELIMITER IGNOREHEADER IAM ROLE arn aws iam XXXXXXXXXXXXX role RedshiftML REGION us east Creating an ML ModelAmazon Redshift ML enables you to train models with a single SQL CREATE MODEL command Once the data is imported we can create and train our ML model based on this data To create a model in Redshift use the Redshift ML CREATE MODEL statement CREATE MODEL orange telecom customers model FROM SELECT state account length area code international plan voice mail plan number vmail messages total day minutes total day calls total day charge total eve minutes total eve calls total eve charge total night minutes total night calls total night charge total intl minutes total intl calls total intl charge customer service calls churn FROM orange telecom customers WHERE purpose train TARGET churnFUNCTION ml fn orange telecom customersIAM ROLE arn aws iam XXXXXXXXXXXXX role sagemaker SETTINGS S BUCKET geospatial dev In the above statement we used SQL to select only the subset of our dataset that we ve labeled for training purposes For the TARGET variable we provided the name of the column we want to predict which in this case is the churn column We also provided the name of the SQL function that will be generated after execution Amazon Redshift will register the function as a SQL function for making predictions within your Amazon Redshift cluster Other temporary data and training artifacts will be exported to the S Bucket provided in SETTINGS Depending on the size of the training dataset it could take mins or more to finish training the model Once the training is successful you can visualize information about the model using the SQL command below SHOW MODEL orange telecom customers model As highlighted in the image above the F Score used to analyze the accuracy for binary classification problems for the model was which is quite an impressive outcome for a model that was created without machine knowledge or expertise The best part of doing machine learning with Redshift ML is the AutoML functionality With AutoML in use you don t have to know anything about the problem you are trying to solve or the best machine learning algorithm that applies Redshift ML will automatically detect the problem type from the data and apply the best algorithm for training the model Making PredictionsOnce the model is in a ready state we can use it for predictions by calling the function ml fn orange telecom customers that was generated during the model training process within our SQL commands For example this SQL function can be used at the backend of the telecoms company applications to predict customers that are likely to churn in the future and use this knowledge to provide enticing offers promos that could convince them to remain with the company SELECT churn ml fn orange telecom customers state account length area code international plan voice mail plan number vmail messages total day minutes total day calls total day charge total eve minutes total eve calls total eve charge total night minutes total night calls total night charge total intl minutes total intl calls total intl charge customer service calls AS prediction FROM orange telecom customersWHERE purpose test In the SQL command above we used the function to make predictions on our test datasets The output provides a side by side comparison of expected output churn and predicted output prediction Prediction Report On the test dataset the model was able to achieve a accuracy by making accurate predictions on records out of used in evaluating the model Problem type BinaryClassificationClassification report precision recall f score support False True accuracy macro avg weighted avg Accuracy Score Area under curve The report above shows that doing machine learning with Redshift produces the level of result or even better compared to creating custom Python models with frameworks like TensorFlow and Pytorch ConclusionIn conclusion we saw how much of a game changer Amazon Redshift ML is for organizations that can t afford the financial investment required to set up an in house team of machine learning experts and resources but would like to apply machine learning knowledge to their datasets To learn more about using machine learning in Amazon Redshift visit the AWS documentation page You can also check out more of my articles at blog somideolaoye com	2021-06-07 06:07:06
海外TECH	DEV Community	Understanding Kubernetes: part 43 – Init Containers	https://dev.to/aurelievache/understanding-kubernetes-part-43-init-containers-2ih9	Understanding Kubernetes part Init ContainersUnderstanding Kubernetes can be difficult or time consuming In order to spread knowledges about Cloud technologies I started to create sketchnotes about Kubernetes I think it could be a good way more visual to explain Kubernetes and others technologies We continue the serie of Sketchnotes about Kubernetes with an explanation about Init Containers If you are interested I published all the sketchnotes on Kubernetes and new ones to make a book of pages Understanding Kubernetes in a visual way As usual if you like theses sketchnotes you can follow me and tell me what do you think I will publish others sketchs shortly	2021-06-07 06:04:17
海外TECH	Engadget	Nissan's next-gen Ariya EV has been delayed in the US until early 2022	https://www.engadget.com/nissans-next-gen-ariya-ev-has-been-delayed-until-winter-2021-064700085.html?src=rss_b2c	Nissan x s next gen Ariya EV has been delayed in the US until early Nissan s next gen Ariya EV was set to arrive in the US and Europe by the end of this year but the company is now saying that those dates will be pushed back	2021-06-07 06:47:00
医療系	医療介護 CBnews	医学部の歯学部振り替え枠、23年度から廃止へ-厚労省が分科会で提案	https://www.cbnews.jp/news/entry/20210607150844	厚生労働省	2021-06-07 15:40:00
医療系	医療介護 CBnews	保健所支援拠点、積極的疫学調査などの機能拡充へ-東京都、「トレーサー班」追加募集	https://www.cbnews.jp/news/entry/20210607132800	新型コロナウイルス	2021-06-07 15:05:00
金融	JPX マーケットニュース	[東証]マザーズから市場第一部への変更：（株）マネーフォワード	https://www.jpx.co.jp/listing/stocks/transfers/01.html	東証マザーズ	2021-06-07 15:30:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	チリ政府、新型コロナ保険の加入を義務化	https://www.jetro.go.jp/biznews/2021/06/734bf6ff19f211db.html	新型	2021-06-07 06:45:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	欧州委、幅広い公共・民間サービスで利用可能なデジタルID規則案を発表	https://www.jetro.go.jp/biznews/2021/06/c45637fb6ef5214d.html	規則	2021-06-07 06:35:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	5月の米失業率5.8％に改善、非農業部門雇用者数は55.9万人増	https://www.jetro.go.jp/biznews/2021/06/aa6db5f280fb4061.html	雇用者	2021-06-07 06:15:00
海外ニュース	Japan Times latest articles	South Korean court dismisses wartime labor case against 16 Japan firms	https://www.japantimes.co.jp/news/2021/06/07/national/crime-legal/south-korea-wartime-labor-japan-lawsuit-dismissed/	South Korean court dismisses wartime labor case against Japan firmsThe court said that while the plaintiffs have not lost their right to claims as individuals under a bilateral agreement such a right cannot	2021-06-07 15:37:24
海外ニュース	Japan Times latest articles	Japanese Olympic official dies after jumping in front of train	https://www.japantimes.co.jp/news/2021/06/07/national/joc-official-suicide/	apparent	2021-06-07 15:07:12
海外ニュース	Japan Times latest articles	Toyota reaches settlement over workplace harassment case	https://www.japantimes.co.jp/news/2021/06/07/business/corporate-business/toyota-harassment-case/	clarify	2021-06-07 15:02:38
ニュース	BBC News - Home	Covid-19: Government aid cuts opposed and vaccine badges for UK online daters	https://www.bbc.co.uk/news/uk-57378094	coronavirus	2021-06-07 06:43:26
ニュース	BBC News - Home	'Coolest thing ever' - YouTube star Paul goes the distance with Mayweather in exhibition	https://www.bbc.co.uk/sport/boxing/57381402	x Coolest thing ever x YouTube star Paul goes the distance with Mayweather in exhibitionYouTube personality Logan Paul goes the distance in his eight round exhibition fight with unbeaten former world champion Floyd Mayweather	2021-06-07 06:42:20
LifeHuck	ライフハッカー［日本版］	「死」から逆算して時間を割り振る。星野佳路の最優先事項とは	https://www.lifehacker.jp/2021/06/235361hoshino_yoshiharu_1.html	投資戦略	2021-06-07 16:00:00
GCP	Google Cloud Platform Japan 公式ブログ	Datasets for Google Cloud: 新しいリファレンス アーキテクチャのご紹介	https://cloud.google.com/blog/ja/topics/developers-practitioners/datasets-google-cloud-introducing-our-new-reference-architecture/	コンポーネントの処理としては、一貫性のある予測可能な方法でのDAGの作成や、Airflow変数の宣言、設定、インポート、すべてのパイプラインが依存する他のクラウドリソースの操作などがあります。	2021-06-07 07:00:00
GCP	Google Cloud Platform Japan 公式ブログ	分析と AI の取り組みを強化できるデータセットを見つける	https://cloud.google.com/blog/ja/products/data-analytics/datasets-for-enriching-analytics-ai-initiatives/	これにより、現在GoogleCloudに非公開データセットを保有していないお客様でも分析を利用し始めることができます。	2021-06-07 07:00:00
北海道	北海道新聞	函館高等支援学校、フットサルで初の全国大会へ　部活休止でも空き時間に自主練	https://www.hokkaido-np.co.jp/article/552656/	全国大会	2021-06-07 15:15:43
ニュース	Newsweek	市販のマスクは効果なし？　コロナ対策めぐるファウチのメール公開に物議	https://www.newsweekjapan.jp/stories/world/2021/06/post-96463.php	実際には米疾病対策センターCDCがマスク着用の推奨に転じたのは昨年月で、メールの内容はマスクの効果に否定的だった当時のファウチの公式見解と矛盾していない。	2021-06-07 15:45:00
IT	週刊アスキー	ステーキ宮で厚切りのウルグアイ牛、数量限定で提供	https://weekly.ascii.jp/elem/000/004/058/4058042/	数量限定	2021-06-07 15:45:00
IT	週刊アスキー	アイドル事務所経営SLG『アイドルマネージャー』がSteamにて7月27日に配信決定	https://weekly.ascii.jp/elem/000/004/058/4058057/	indieliveexpo	2021-06-07 15:25:00
マーケティング	AdverTimes	成り行きが生業に。そして奇跡に期待しない青い反抗心。（ゲスト：松尾潔）【中編】	https://www.advertimes.com/20210607/article353334/	人生哲学	2021-06-07 06:30:11
GCP	Cloud Blog JA	Datasets for Google Cloud: 新しいリファレンス アーキテクチャのご紹介	https://cloud.google.com/blog/ja/topics/developers-practitioners/datasets-google-cloud-introducing-our-new-reference-architecture/	コンポーネントの処理としては、一貫性のある予測可能な方法でのDAGの作成や、Airflow変数の宣言、設定、インポート、すべてのパイプラインが依存する他のクラウドリソースの操作などがあります。	2021-06-07 07:00:00
GCP	Cloud Blog JA	分析と AI の取り組みを強化できるデータセットを見つける	https://cloud.google.com/blog/ja/products/data-analytics/datasets-for-enriching-analytics-ai-initiatives/	これにより、現在GoogleCloudに非公開データセットを保有していないお客様でも分析を利用し始めることができます。	2021-06-07 07:00:00