投稿時間:2023-02-14 04:31:08 RSSフィード2023-02-14 04:00 分まとめ(37件)

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AWS	AWS Partner Network (APN) Blog	Bringing Scale to Zero Trust Network Access with CylanceGATEWAY Using AWS Global Accelerator	https://aws.amazon.com/blogs/apn/bringing-scale-to-zero-trust-network-access-with-cylancegateway-using-aws-global-accelerator/	Bringing Scale to Zero Trust Network Access with CylanceGATEWAY Using AWS Global AcceleratorZero trust security is about achieving continuous security without slowing or complicating workflows and BlackBerry s collaboration with AWS unlocks the benefits of this approach for organizations of any size Scale simplicity and security are important factors to an effective Zero Trust Network Access ZTNA platform Learn how CylanceGATEWAY an innovative ZTNA solution powered by AWS Global Accelerator that replaces traditional VPN technologies brings this ideal state to reality	2023-02-13 18:38:20
AWS	AWS Big Data Blog	Monitor Apache HBase on Amazon EMR using Amazon Managed Service for Prometheus and Amazon Managed Grafana	https://aws.amazon.com/blogs/big-data/monitor-apache-hbase-on-amazon-emr-using-amazon-managed-service-for-prometheus-and-amazon-managed-grafana/	Monitor Apache HBase on Amazon EMR using Amazon Managed Service for Prometheus and Amazon Managed GrafanaAmazon EMR provides a managed Apache Hadoop framework that makes it straightforward fast and cost effective to run Apache HBase Apache HBase is a massively scalable distributed big data store in the Apache Hadoop ecosystem It is an open source non relational versioned database that runs on top of the Apache Hadoop Distributed File System HDFS It s built …	2023-02-13 18:50:04
AWS	AWS Big Data Blog	Chargeback Gurus empowers eCommerce merchants with advanced chargeback intelligence to recover millions using Amazon Quicksight	https://aws.amazon.com/blogs/big-data/chargeback-gurus-empowers-ecommerce-merchants-with-advanced-chargeback-intelligence-to-recover-millions-using-amazon-quicksight/	Chargeback Gurus empowers eCommerce merchants with advanced chargeback intelligence to recover millions using Amazon QuicksightThis is a guest post by Suresh Dakshina and Damodharan Sampathkumar from Chargeback Gurus Chargeback Gurus a global financial technology company helps businesses fight prevent and win chargebacks To date we have helped businesses worldwide recover over billion in lost revenue As trusted advisors to card networks and Fortune companies we are known …	2023-02-13 18:35:29
AWS	AWS Big Data Blog	How OLX Group migrated to Amazon Redshift RA3 for simpler, faster, and more cost-effective analytics	https://aws.amazon.com/blogs/big-data/how-olx-group-migrated-to-amazon-redshift-ra3-for-simpler-faster-and-more-cost-effective-analytics/	How OLX Group migrated to Amazon Redshift RA for simpler faster and more cost effective analyticsThis is a guest post by Miguel Chin Data Engineering Manager at OLX Group and David Greenshtein Specialist Solutions Architect for Analytics AWS OLX Group is one of the world s fastest growing networks of online marketplaces operating in over countries around the world We help people buy and sell cars find housing get jobs buy …	2023-02-13 18:28:06
AWS	AWS Compute Blog	How to create custom health checks for your Amazon EC2 Auto Scaling Fleet	https://aws.amazon.com/blogs/compute/how-to-create-custom-health-checks-for-your-amazon-ec2-auto-scaling-fleet/	How to create custom health checks for your Amazon EC Auto Scaling FleetThis blog post is written by Gaurav Verma Cloud Infrastructure Architect Professional Services AWS Amazon EC Auto Scaling helps you maintain application availability and lets you automatically add or remove Amazon Elastic Compute Cloud Amazon EC instances according to the conditions that you define You can use dynamic and predictive scaling to scale out and scale in …	2023-02-13 18:03:19
AWS	AWS Database Blog	Analyze healthcare FHIR data with Amazon Neptune	https://aws.amazon.com/blogs/database/analyze-healthcare-fhir-data-with-amazon-neptune/	Analyze healthcare FHIR data with Amazon NeptuneIn this post we focus on data analysis as part of the modern data strategy I cover how to generate insights from healthcare FHIR Fast Healthcare Interoperability Resources data with Amazon Neptune a fast reliable fully managed graph database service Using a graph database for this use case allows you to model and navigate complex …	2023-02-13 18:30:47
AWS	AWS Database Blog	Implement Amazon RDS for SQL Server Standard edition cross-Region disaster recovery using access to transaction log backups feature	https://aws.amazon.com/blogs/database/implement-amazon-rds-for-sql-server-standard-edition-cross-region-disaster-recovery-using-access-to-transaction-log-backups-feature/	Implement Amazon RDS for SQL Server Standard edition cross Region disaster recovery using access to transaction log backups featureToday you can achieve cross Region disaster recovery DR using the Amazon RDS for SQL Server Cross Region Read Replica feature but it s only available for workloads running on SQL Server Enterprise edition EE You can also use the cross Region automated backups feature to develop your DR strategy but recovery time objective RTO and recovery point …	2023-02-13 18:22:15
AWS	AWS Machine Learning Blog	Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK	https://aws.amazon.com/blogs/machine-learning/configure-an-aws-deepracer-environment-for-training-and-log-analysis-using-the-aws-cdk/	Configure an AWS DeepRacer environment for training and log analysis using the AWS CDKThis post is co written by Zdenko Estok Cloud Architect at Accenture and Sakar Selimcan DeepRacer SME at Accenture With the increasing use of artificial intelligence AI and machine learning ML for a vast majority of industries ranging from healthcare to insurance from manufacturing to marketing the primary focus shifts to efficiency when building and training …	2023-02-13 18:23:55
AWS	AWS for SAP	Modernize your SAP eco-system with SAP BTP and AWS services	https://aws.amazon.com/blogs/awsforsap/modernize-your-sap-eco-system-with-sap-btp-and-aws-services/	Modernize your SAP eco system with SAP BTP and AWS servicesCustomers have been running SAP workloads on AWS since SAP and AWS have partnered for years nbsp to jointly innovate for our customers Our guiding star has been to bring flexibility and agility of the AWS platform to run SAP workloads ​SAP has consistently leveraged AWS services over the years to run internal systems and …	2023-02-13 18:03:07
Linux	Ubuntuタグが付けられた新着投稿 - Qiita	Reinstall Graphic Board Driver in Ubuntu	https://qiita.com/RENOX/items/82691d77e0f4e0ca1244	purge	2023-02-14 03:30:01
海外TECH	Ars Technica	The Volvo XC60 Recharge benefits from bigger hybrid battery	https://arstechnica.com/?p=1917247	battery	2023-02-13 18:35:45
海外TECH	MakeUseOf	How to Update Windows, Apps, and Drivers: The Complete Guide	https://www.makeuseof.com/tag/update-windows-software-guide/	How to Update Windows Apps and Drivers The Complete GuideUpdating your computer s software is important but how do you check for all those updates We ll show you how to update everything in Windows	2023-02-13 18:01:17
海外TECH	DEV Community	Construindo uma pipeline com o Github Actions	https://dev.to/nathsouzadev/usando-o-github-como-pipeline-556l	Construindo uma pipeline com o Github ActionsQue o Github éuma plataforma extremamente útil todas nós sabemos mas dentre uma de suas funcionalidades uma das que mais me fascina éo Github Actions Com as Actions nós podemos construir uma pipeline para nossas aplicações desde as mais simples atése precisarmos de uma complexidade maior com banco de dados Antes de mergulharmos nesse processo énecessário entender o que éuma pipeline Dentro do universo de desenvolvimento uma pipeline éonde podemos visualizar as validações antes de entregar nossa aplicação em produção Énessa etapa onde rodamos nossos testes automatizados para garantir que as alterações que estão sendo enviadas para produção não irão gerar nenhum erro Com este primeiro conceito agora entra uma segunda etapa uma pipeline bem configurada permitindo que tenhamos um ambiente de stage ou homologação e o nosso ambiente de produção A ideia éque no ambiente de stage sejam feitos testes manuais antes de enviar todas as mudanças para produção Quando qualquer erro éencontrado a pipeline impede o deploy para qualquer um dos ambientes e énecessário que realizemos as correções antes do deploy No exemplo abaixo temos o caso de uma pipeline que teve falha em uma das verificações dos testes unitários e bloqueou a mudança em stage No caso do exemplo exibido énecessário fazer a correção na mensagem retornada para que as validações sejam feitas e o deploy possa seguir em cada um dos ambientes Se tudo der certo a aplicação serádisponibilizada em todos os ambientes após os testes automatizados Neste cenário temos a situação em que todas as validações passaram e conseguimos disponibilizar nossa aplicação no ambiente final Depois desses conceitos como podemos realizar todo esse processo usando o Github Actions No nosso exemplo temos uma aplicação simples com Nest então usaremos as definições fornecidas pelo Github para aplicações com Node Na raiz do nosso projeto criamos uma pasta github dentro dela um repositório workflow onde colocaremos nosso arquivo main yml Éeste arquivo yaml que seráo responsável por definir quais são as etapas que serão percorridas em nossa pipeline No nosso exemplo o nosso arquivo yaml estáda seguinte formaname Developmenton push branches main stage pull request branches main stageenv PORT jobs test runs on ubuntu latest strategy matrix node version x steps uses actions checkout v name Use Node js matrix node version uses actions setup node v with node version matrix node version name Install dependencies run yarn frozen lockfile name Run unit tests run yarn test ee if always amp amp contains join needs result success needs test runs on ubuntu latest strategy matrix node version x steps uses actions checkout v name Use Node js matrix node version uses actions setup node v with node version matrix node version name Install dependencies run yarn frozen lockfile name Running ee tests run yarn test ee stage if always amp amp contains join needs result success needs test ee runs on ubuntu latest strategy matrix node version x steps uses actions checkout v name Use Node js matrix node version uses actions setup node v with node version matrix node version name Install dependencies run yarn frozen lockfile deploy if always amp amp contains join needs result success amp amp github ref refs heads main needs test ee stage runs on ubuntu latest strategy matrix node version x steps uses actions checkout v name Use Node js matrix node version uses actions setup node v with node version matrix node version name Install dependencies run yarn frozen lockfileComo usamos um arquivo yaml precisamos nos atentar àindentação que éuma das bases dessa linguagem Feita essa observação note que temos três conjuntos principais de instruções on env e jobs Destas três apenas on e jobs são obrigatórias a env usamos apenas as nossas validações precisam de uma variável de ambiente No nosso caso definimos apenas uma porta para a aplicação rodar localmente durante o deploy O on éutilizado para definir quais serão os gatilhos da nossa pipeline ou seja quando executaremos essas verificações No nosso caso definimos que sempre quando realizarmos um push ou pull requests nas branchs main e stage on push branches main stage pull request branches main stageenv PORT Agora vem a parte funcional da nossa pipeline Dentro do jobs definimos quais serão as ações executadas durante cada um dos processos No nosso exemplo possuímos os dois primeiros jobs test e ee que estão configurados para rodar os testes automatizados Neste caso antes de executar de fato cada etapa definimos no runs on e na strategy as configurações necessárias da nossa aplicação No nosso caso temos explicito que vamos usar um setup do Ubuntu lts e na sequência o Node na versão Este ponto éespecífico de cada linguagem e necessita de consulta àdocumentação para saber qual a configuração ideal para sua aplicação jobs test runs on ubuntu latest strategy matrix node version x steps uses actions checkout v name Use Node js matrix node version uses actions setup node v with node version matrix node version name Install dependencies run yarn frozen lockfile name Run unit tests run yarn testAinda dentro dos jobs o segredo para impedir a execução da pipeline em caso de erro estáno nosso if que aparece a partir do ee Nesse caso pedimos que sempre os testes tenham sucesso para somente após isso executar o próximo passo Sem esse if mesmo que ocorra um erro na etapa anterior a pipeline seguirátodo o fluxo atéprodução que não énossa ideia stage if always amp amp contains join needs result success needs test ee runs on ubuntu latest strategy matrix node version x steps uses actions checkout v name Use Node js matrix node version uses actions setup node v with node version matrix node version name Install dependencies run yarn frozen lockfilePor fim nos dois jobs finais em stage e deploy équando realizamos a entrega da nossa aplicação em cada um dos ambientes Nesse caso usamos uma branch diferente para construir cada um desses ambientes Dentro desses jobs informamos os comandos para realizar o deploy da aplicação e éonde podemos integrar com outros serviços Esse ponto éum assunto para outro momento	2023-02-13 18:22:54
海外TECH	DEV Community	Load Testing a Fintech API with CSV Test Data Import	https://dev.to/kursataktas/load-testing-a-fintech-api-with-csv-test-data-import-3bib	Load Testing a Fintech API with CSV Test Data Import IntroductionWe have organized this write up into two parts to demonstrate two different features of Ddosify In the first part we will perform a load test on a GET endpoint that accepts base and target currency and returns their exchange rate of them The rand utility method is used to send different currencies on each request In the second part we will test a POST endpoint that performs exchange operations We will use a CSV file that contains test data stored on our Test App s Database Then we import this CSV file into Ddosify to replay the same transactions stored on DB but in high concurrency In both parts we will gain insights into the reliability of our exchange API across high traffic The EnvironmentAs in the previous blog post we will again use the Ddosify test API as a backend service We will use Ddosify Open Source Load Engine version v If you didn t install it yet you can follow the readme to find the proper installation method for your operating system The configuration files used in this blog are available in this repository Load testing the exchange rate info APIAlmost all fintech APIs have an endpoint that provides the exchange rate between two currencies Our test backend API has a similar one GET exchange rate lt base currency gt lt target currency gt In this use case we would like to learn the performance of this endpoint by providing random lt base currency gt and lt target currency gt on high IPS iteration per second Let s take a look at the below configuration first then we will talk about the details of each section fetch exchange rates json iteration count duration load type incremental env currencies AED ARS AUD BGN BHD BRL CAD CHF CNY DKK DZD EUR FKP INR JEP JPY KES KWD KZT MXN NZD RUB SEK SGD TRY USD baseUrl steps id name Random Currency Fetch url baseUrl rand currencies rand currencies First of all we have a list of currencies in our environment variables If you wonder we have fetched the supported currencies from the endpoint The important part of this configuration is the URL field of the step We used the rand utility method on both lt base currency gt and lt target currency gt fields to inject a random currency Before starting the test we will use the debug flag to inspect request headers request body response headers and response body Ddosify sends only request in debug mode  ddosify config fetch exchange rates json debug lt truncated gt STEP Random Currency Fetch Environment Variables currencies AED ARS AUD BGN BHD BRL CAD CHF CNY DKK DZD EUR FKP INR JEP JPY KES KWD KZT MXN NZD RUB SEK SGD TRY USD baseUrl Test Data Request Target Method GET Headers Body Response StatusCode Headers Strict Transport Security max age Content Length Connection keep alive Server nginx Date Wed Feb GMT Allow GET HEAD OPTIONS Referrer Policy same origin Vary Accept X Frame Options DENY Cross Origin Opener Policy same origin Content Type application json X Content Type Options nosniff Body rate You may notice that we use the debug flag on CLI instead of putting the debug true key in the configuration file as we did in the previous article Although these two ways are valid ways to run Ddosify in debug mode the CLI flag has priority over the debug key In this use case we choose to enable debugging on CLI for ease of use Looks like everything is as expected We have successfully injected random currencies on the request URL and the response contains the exchange rate along with the HTTP OK status code We can remove the debug flag and start the test  ddosify config fetch exchange rates json️Initializing Engine fired CTRL C to gracefully stop ️Successful Run Failed Run ️Avg Duration s️Successful Run Failed Run ️Avg Duration s️Successful Run Failed Run ️Avg Duration s️Successful Run Failed Run ️Avg Duration s️Successful Run Failed Run ️Avg Duration s️Successful Run Failed Run ️Avg Duration s️Successful Run Failed Run ️Avg Duration s️Successful Run Failed Run ️Avg Duration sRESULT Success Count Failed Count Durations Avg DNS s Connection s Request Write s Server Processing s Response Read s Total sStatus Code Message Count OK Error Distribution Count Reason connection timeoutIf we follow the real time logs we can easily analyze the Avg Duration increases over time The reason is we set the load type as incremental in the configuration file That means the iteration count increases every second so our API receives more and more requests per following second As a final note requests have been timed out at the last second of the test so our test API couldn t totally handle requests in seconds on incremental traffic Incremental Load Type Importing CSV data to replay network trafficIn our test API there is a POST exchange endpoint that expects the amount base currency and target currency as request payload and it exchanges the given amount from the base currency to the target currency Let s assume that our imaginary customers have used this endpoint many times and our servers started to slow down The development team did some performance improvements and we would like to replay the last transactions to test the performance of the new system This is a great example to demonstrate how to supply test data to Ddosify Engine We exported the last K transactions from the database and save them to a CSV file called test data csv test data csved bece c eb faccd DZD KWDdae cf e ceab ARS KZTcec c c a fde FKP JEPbabbdc d b a dd RUB JPYac dbc ba defc SGD SEK lt truncated gt The CSV file consists of columns These are api key for authenticating the user for the transaction amount base currency and target currency Now we can use the CSV test data import feature of Ddosify Engine to resend these transactions transaction replay json iteration count duration load type waved env baseUrl data transactions path test data csv vars tag api key tag amount type float tag base currency tag target currency delimiter allow quota false order sequential skip first line false skip empty line true steps id name Exchange url baseUrl method POST headers X API KEY data transactions api key Content Type application json payload file exchange body json transaction replay json is our main configuration file In the data section we provide our CSV file in transactions name scope so we can use it in our steps as data transactions tag format There are lots of options we configured in this section here are the details of them We used path to point the location of our CSV file vars field is for matching the column index in the CSV to a variable name to use it in step configuration For example we named the first column in the CSV as api key then we use it in the headers section of the Step like X API KEY data transactions api key Note that we also assigned the type of the second column as float since we want that Ddosify should treat amount values as a float instead of a string delimiter is the delimiter character of the CSV While the default value of it is we type it to show you can use a custom delimiter allow quota enables the situation if a quote may appear in an unquoted field and a non doubled quote may appear in a quoted field Default is false We put it to show this option In our case we don t expect quoted data in our CSV We set the the order as sequential since we want to fetch the lines in the same order that is located in the CSV The default is random in that case Ddosify fetches lines randomly from the CSV We set skip first line as false because the test data csv has no headers in the first line Although we don t have any empty lines on our CSV file we configured skip empty line to show that there is an option like this exchange body json amount data transactions amount base data transactions base currency target data transactions target currency exchange body json is our POST payload we filled the fields with the test data fetched from the CSV file Let s debug our scenario and see what will happen ddosify config transaction replay json debug lt truncated gt STEP Exchange Environment Variables baseUrl Test Data data transactions base currency DZD data transactions target currency KWD data transactions api key ed bece c eb faccd data transactions amount Request Target Method POST Headers Content Type application json X Api Key ed bece c eb faccd Body amount base DZD target KWD Response StatusCode Headers Allow POST OPTIONS lt truncated gt Body amount currency KWD success true The Test Data section in the Debug result shows that we have successfully fetched the first row of our CSV file Also everything looks correct on the request payload and X Api Key header value Since we receive the HTTP OK status code we can start the actual test Remember our configuration on transaction replay json we set iteration count to since we have lines of data in our CSV Instead of incremental we will use waved load type to simulate more realistic network traffic If the iteration count is greater than the data count on the CSV file then Ddosify Engine loops over the file Waved load type ddosify config transaction replay json lt truncated gt RESULT Success Count Failed Count Durations Avg DNS s Connection s Request Write s Server Processing s Response Read s Total sStatus Code Message Count OK The result shows that our backend API can handle exchange transactions in seconds in the waved load type We can test the system under different conditions by changing duration load type and iteration count parameters ConclusionAt first we showed how to use rand utility method of Ddosify Engine to use environment variables in advance Then we demonstrated the usage of Test Data import via CSV file along with a traffic replay scenario Ddosify Engine has more capabilities on each release follow it on GitHub to stay updated You can find the files we used in this article at Ddosify Blog Examples repository If you need assistance you can join our Discord channel	2023-02-13 18:10:19
Apple	AppleInsider - Frontpage News	Apple fixes Siri bug in tvOS 16.3.2 & HomePod update	https://appleinsider.com/articles/23/02/13/apple-fixes-siri-bug-in-tvos-1632-homepod-update?utm_medium=rss	Apple fixes Siri bug in tvOS amp HomePod updateIn addition to updates to iOS iPadOS macOS and watchOS Apple has also released tvOS and HomePod that fixes Siri request failures HomePod miniApple pushed iOS and iPadOS to users on Monday with bug fixes and performance improvements For example the iOS release contains bug fixes and performance improvements including a fix for iCloud settings Read more	2023-02-13 19:00:08
Apple	AppleInsider - Frontpage News	macOS Ventura 13.2.1 is here with bug fixes and improvements	https://appleinsider.com/articles/23/02/13/macos-ventura-1321-is-here-with-bug-fixes-and-improvements?utm_medium=rss	macOS Ventura is here with bug fixes and improvementsAfter some confusion Apple has released macOS Ventura to Mac users with bug fixes and performance improvements Apple releases macOS Ventura Apple released the previous public update for macOS Ventura on January It added support for physical security keys as well as the Rapid Security Response System for urgent security fixes Read more	2023-02-13 18:54:47
Apple	AppleInsider - Frontpage News	Apple releases iOS 16.3.1, iPadOS 16.3.1, watchOS 9.3.1 updates	https://appleinsider.com/articles/23/02/13/apple-releases-ios-1631-and-ipados-1631-updates?utm_medium=rss	Apple releases iOS iPadOS watchOS updatesApple has released iOS iPadOS and watchOS with bug fixes and other performance improvements iOS is outApple previously released iOS iPadOS and watchOS on January with tvOS following on January The significant features for those updates were support for hardware security keys and added compatibility for sensors found in the new HomePod and HomePod mini Read more	2023-02-13 18:25:53
Apple	AppleInsider - Frontpage News	ChatGPT Bing trial expands to more users, iOS version on the way	https://appleinsider.com/articles/23/02/13/chatgpt-bing-trial-expands-to-more-users-ios-version-on-the-way?utm_medium=rss	ChatGPT Bing trial expands to more users iOS version on the wayMicrosoft is allowing more people to test out its ChatGPT powered update to Bing with the software giant also working on an iOS version that could arrive within weeks Bing with ChatGPTIn early February Microsoft introduced a version of its Bing search engine that integrated the ChatGPT chatbot into the site While it has been open to relatively few members of the public it is being gradually opened up to more users Read more	2023-02-13 18:13:55
海外TECH	Engadget	After one last release date change, 'Dead Island 2' will arrive a week early	https://www.engadget.com/after-one-last-release-date-change-dead-island-2-will-arrive-a-week-early-182902641.html?src=rss	After one last release date change x Dead Island x will arrive a week earlyAfter far too many delays to count Dead Island has a new release date once more This time however publisher Deep Silver is pushing the game up by a week Instead of arriving on April th as previously planned the game will now hit consoles and PC on April st “You asked for it you got it Dead Island went gold and it s coming out a week early the company said on Twitter Notably the change of release date means Dead Island won t land on the same day as Star Wars Jedi Survivor The two games were scheduled to hit consoles and PC on the same day after Electronic Arts delayed Respawn s new game at the end of last month Deep Silver didn t say as much but after years of development hell the last thing it likely wanted was for Dead Island to compete directly against the big new Star Wars release You asked for it you got it Dead Island went gold and it s coming out a week early nbsp See you in HELL A on April DeadIsland SeeYouInHELLApic twitter com GubIcUSーDead Island deadislandgame February Dead Island was first announced all the way back in Over that time it moved to two different studios before re emerging this past August The sequel to s Dead Island will be available on PlayStation PS Xbox One Xbox Series X S and PC via the Epic Games Store It will be the first game to feature Amazon s Alexa Game Control technology	2023-02-13 18:29:02
海外TECH	WIRED	Twitter’s API Crackdown Will Hit More Than Just Bots	https://www.wired.com/story/twitters-api-crackdown-will-hit-more-than-just-bots/	crucial	2023-02-13 18:30:00
ニュース	BBC News - Home	Covid forces Camilla, Queen Consort, to cancel visits	https://www.bbc.co.uk/news/uk-64631171?at_medium=RSS&at_campaign=KARANGA	spirits	2023-02-13 18:19:41
ニュース	BBC News - Home	Wayne Couzens admits indecent exposure offences	https://www.bbc.co.uk/news/uk-england-london-64622477?at_medium=RSS&at_campaign=KARANGA	everard	2023-02-13 18:41:42
ニュース	BBC News - Home	Russian mercenary video shows new brutal killing of 'traitor'	https://www.bbc.co.uk/news/world-europe-64626783?at_medium=RSS&at_campaign=KARANGA	defector	2023-02-13 18:03:53
ニュース	BBC News - Home	Thousands wanting to give up pets as cost of living soars	https://www.bbc.co.uk/news/uk-scotland-64618082?at_medium=RSS&at_campaign=KARANGA	spca	2023-02-13 18:07:06
ニュース	BBC News - Home	BBC: What's been 'occurring' in Wales for 100 years	https://www.bbc.co.uk/news/uk-wales-64413172?at_medium=RSS&at_campaign=KARANGA	major	2023-02-13 18:20:27
ビジネス	ダイヤモンド・オンライン - 新着記事	新SNS「ボンディー」はTwitter・インスタを駆逐する？【原田曜平×Z世代座談会】 - News&Analysis	https://diamond.jp/articles/-/317590	新SNS「ボンディー」はTwitter・インスタを駆逐する【原田曜平×Z世代座談会】NewsampampAnalysisメタバースの要素を取り入れた新感覚SNS「ボンディー」が日本に上陸し、若者の間で話題になっています。	2023-02-14 04:00:00
ビジネス	ダイヤモンド・オンライン - 新着記事	家のカビを増やす「間違った寒さ対策」に注意！結露を防ぐ“4つの方法”とは - 不動産の新教科書	https://diamond.jp/articles/-/317543	太平洋側	2023-02-14 03:55:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「横暴な上司」にメンタルをやられない賢い対処法 - イライラ・モヤモヤ職場の改善法　榎本博明	https://diamond.jp/articles/-/317627	傷つきやすい	2023-02-14 03:50:00
ビジネス	ダイヤモンド・オンライン - 新着記事	日銀次期総裁に「救世主」を期待しない日本 - WSJ PickUp	https://diamond.jp/articles/-/317668	wsjpickup	2023-02-14 03:45:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【熊谷高校】華麗なる卒業生人脈！カズレーザー、ラグビー元日本代表監督の宿沢広朗、JR東元社長の大塚陸毅… - 日本を動かす名門高校人脈	https://diamond.jp/articles/-/317444	元日本代表	2023-02-14 03:40:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「長寿で資金不足」回避するには - WSJ PickUp	https://diamond.jp/articles/-/317667	wsjpickup	2023-02-14 03:35:00
ビジネス	ダイヤモンド・オンライン - 新着記事	米バイオテック企業に人員削減の波　環境一変 - WSJ PickUp	https://diamond.jp/articles/-/317666	wsjpickup	2023-02-14 03:30:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「保険で資産運用」がダメな理由、個人年金保険も貯蓄型保険も失格 - 自分だけは損したくない人のための投資心理学	https://diamond.jp/articles/-/317601	個人年金保険	2023-02-14 03:25:00
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