投稿時間:2021-11-18 01:33:02 RSSフィード2021-11-18 01:00 分まとめ(34件)

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Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	IF関数を使った数値に上限を設定したい	https://teratail.com/questions/369824?rss=all		2021-11-18 00:46:11
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	WebhookとCurlの使い方がわからない	https://teratail.com/questions/369823?rss=all	WebhookとCurlの使い方がわからない前提・実現したいことFXの売買シグナル通知をLINEに送るという機能を実装したいです。	2021-11-18 00:19:37
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Dialogのアイコン表示を変えたいです	https://teratail.com/questions/369822?rss=all	Dialogのアイコン表示を変えたいです前提・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。	2021-11-18 00:12:25
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Dialogのアイコン表示を変えたいです	https://teratail.com/questions/369821?rss=all	Dialogのアイコン表示を変えたいです前提・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。	2021-11-18 00:11:04
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	連続IF文で入力データの出力について	https://teratail.com/questions/369820?rss=all	連続IF文で入力データの出力について前提・実現したいこと連続したIF文で入力したデータで文字列を表示したいのですが、記述方法がわからないのでご教授ください。	2021-11-18 00:00:34
AWS	AWSタグが付けられた新着投稿 - Qiita	AWS環境設定(料金アラート設定)	https://qiita.com/crazymaki/items/d16dd435b025498e6058		2021-11-18 00:05:03
AWS	AWSタグが付けられた新着投稿 - Qiita	docker-composeのBTCPay環境をAWSに構築してみた	https://qiita.com/YouNack/items/460559c70dba53f38c8b	ECインスタンスにSSHを使ってアクセスするためのキーを作成します。	2021-11-18 00:00:56
Docker	dockerタグが付けられた新着投稿 - Qiita	【MLOps】docker/mlflowを使った競馬AI開発環境構築（2021年版）~ docker構築 ~	https://qiita.com/kazuki502/items/10147bdeabb5c17e06cf	docker環境構築用の設定ファイルをgitlabに公開していますので、こちらをダウンロードしてインストール用のフォルダに格納してください。	2021-11-18 00:07:47
js	JSer.info	2021-11-18のJS: Node v17.1.0、Lighthouse 9.0.0(Audit User Flows)、TypeScriptで型チェッカーを作る	https://jser.info/2021/11/18/node-v17.1.0-lighthouse-9.0.0audit-user-flows-typescript/	基本的な使い方、制限、UtilityType、inferと組み合わせた型を推論する書き方やMappedTypesとの組み合わせについてなどSharedArrayBufferと過渡期なcrossoriginisolationの話blogagektmrcomcrossoriginisolationhtmlbrowserChromearticleSharedArrayBufferや高分解能Timerを利用するためにはcrossoriginisolationな状態が必要となる。	2021-11-18 00:25:06
海外TECH	MakeUseOf	Is Win32:Bogent Safe? How Do I Remove It?	https://www.makeuseof.com/is-win32bogent-safe-how-do-i-remove-it/	bogent	2021-11-17 15:30:11
海外TECH	MakeUseOf	Tired of Apple and Samsung Phones? Check Out The 5 Best Alternatives	https://www.makeuseof.com/best-alternatives-samsung-apple-phones/	giants	2021-11-17 15:16:11
海外TECH	DEV Community	Develop a Spam Filtering Model in Python & Deploy it with Django	https://dev.to/paulwababu/develop-a-spam-filtering-model-in-python-deploy-it-with-django-2pco	Develop a Spam Filtering Model in Python amp Deploy it with Django IntroductionSpam is a fact of life on the internet If you enable comments or contact sections on your website you will have to deal with spammers To prevent your site from making a poor first impression you ll need to find a way to stop spam in its tracks This is especially important if you are developing a website without a content management system like Wordpress as they come bundled with spam filtering plugins You could also use an API like Akismet however this comes at a cost which can be avoided by implementing a relatively accurate model of your own Kaggle and other data science bootcamps are great for learning how to build and optimize models but they don t teach you how to actually use this models in real world scenarios where there s a major difference between building a model and deploying it to be used by end users on the internet In this tutorial you re going to build an SMS spam detection web application This application will be built in Python using the Django framework and will include a deep learning model that you will train to detect SMS spam by leveraging the Naive Bayes theorem Naive Bayes classificationThe classification of Naive Bayes is a simple probability algorithm based on the fact that all model characteristics are independent We assume that every word in the message is independent of all other words in the context of the spam filters and we count them with the ignorance of the context By the state of the current set of terms our classification algorithm generates probabilities of the message to be spam or not spam The probability estimation is based on the Bayes formula and the formula components are determined on the basis of the word frequencies in the whole message package Model BuildingThe data is a collection of SMS messages tagged as spam or ham that can be found here First we will use this dataset to build a prediction model that will accurately classify which texts are spam and which are not then save the model to be used later for predictions Exploration of datasetThe first thing that should be done is to import dependencies If you do not have the libraries installed kindly do so before proceeding import pandas as pdimport numpy as npfrom sklearn feature extraction text import CountVectorizerfrom sklearn model selection import train test splitfrom sklearn naive bayes import MultinomialNBfrom sklearn metrics import classification reportimport joblibimport pickleNext we load the dataset using pandas df pd read csv encoding latin print df head Drop the unwanted columns like so df drop Unnamed Unnamed Unnamed axis inplace True We have to convert the non numerical column spam and ham into numerical values using pandas map functiondf label df v map ham spam Then we have to separate the feature columns independent variables from the target column dependent variable The feature columns are the columns that we try to predict from and the target column is the column with the values we try to predict X df v y df label ML Model BuildingLet us now proceed to building our actual model cv CountVectorizer X cv fit transform X X train X test y train y test train test split X y test size random state model MultinomialNB model fit X train y train model score X test y test y pred model predict X test print classification report y test y pred precision recall f score support accuracy macro avg weighted avg Not only Naive Bayes classifier easy to implement but also provides very good result In the code above we create a vectorize function that transforms a given text into a vector on the basis of the frequency count of each word that occurs in the entire text We then proceed to splitting the data into train and test variables which we use to get the classification report of the model We then call the multinomial Naive Bayes model which is suitable for classification with discrete features e g word counts for text classification Model and Vectorizer Persistence After training the model we should to have a way to persist the model for future use without having to retrain To achieve this need to save the model for the later use Add the following lines of code Save the modeljoblib file MultinomialNaiveBayesModel joblib joblib dump clf joblib file We also need to save the vectorize function that we created earlier otherwise you throw it away because a vectorizer once created doesn t exist past the lifetime of your vectorize function Save the vectorizervec file MultinomialNaiveBayesModelVectorizer pickle pickle dump cv open vec file wb If we intend to retrain the model we can use the partial fit function in order to keep improving the model incase of model degradation over time I will post a blog later that addresses how to identify and correct dataset shift in machine learning Turning the Spam Message Classifier into a Django Web ApplicationHaving trained and saved the model for classifying SMS messages in the previous section we will develop a web application that consists of a simple web page with a form field that lets us enter a message After submitting the message to the web application it will render it on a new page which gives us a result of spam or not spam Below is snapshot of the final implementationFollowing Python best practices we will create a virtual environment for our project and install the required packages First create the project directory mkdir djangoapp cd djangoappNow create a virtual environment and install the required packages For macOS and Unix systems python m venv myenv source myenv bin activate myenv pip install django requests numpy joblib scikit learnFor Windows python m venv myenv myenv Scripts activate myenv pip install django requests numpy joblib scikit learn Setting Up Your Django ApplicationFirst navigate to the directory djangoapp we created and establish a Django project myenv django admin startproject mainappThis will auto generate some files for your project skeleton mainapp manage py mainapp init py settings py urls py asgi py wsgi pyNow navigate to the directory you just created make sure you are in the same directory as manage py and create your app directory myenv python manage py startapp monitorThis will create the following monitor init py admin py apps py migrations init py models py tests py views pyOn the mainapp settings py file look for the following line and add the app we just created above INSTALLED APPS django contrib admin django contrib auth django contrib contenttypes django contrib sessions django contrib messages django contrib staticfiles monitor new line Ensure you are in the monitor directory then create a new directory called templates then a new file called urls py Your directory structure of monitor application should look like thismonitor init py admin py apps py migrations templates init py models py tests py urls py views pyEnsure your mainapp urls py file add our monitor app URL to include the URLs we shall create next on the monitor app from django contrib import adminfrom django urls import path includeurlpatterns path admin admin site urls path include monitor urls monitor app url Now on the monitor urls py file add our website there from django urls import pathfrom views import urlpatterns path views sms name sms path inbox views inbox name inbox Let s create another directory to store our machine learning model I ll also add the dataset to the project for those who want to achieve the whole dataset It is not compulsory to create a data folder Be sure to move the vectorizer file and the joblib file we created earlier to ml model folder venv mkdir ml venv mkdir ml models venv mkdir ml dataWe also need to tell Django where our machine learning model and our vectorizer file is located Add these lines to settings py file import osMODELS os path join BASE DIR ml models Load Model and Vectorizer through apps pyLoad your machine learning models and your vectorizer in apps py so that when the application starts the trained model is loaded only once Otherwise the trained model is loaded each time an endpoint is called and then the response time will be slower Let s update apps pyimport osimport joblibfrom django apps import AppConfigfrom django conf import settingsclass ApiConfig AppConfig name api MODEL FILE os path join settings MODELS MultinomialNaiveBayesModel joblib model joblib load MODEL FILE class VectorizerConfig AppConfig name api MODEL FILE os path join settings MODELS MultinomialNaiveBayesModelVectorizer pickle model joblib load MODEL FILE Edit models pyCreate our database models which we shall use to store our classified models On the monitor models py file from django db import models Create your models here class Monitor models Model message models CharField max length blank True null True SPAM HAM IS SPAM OR NAH SPAM spam HAM not spam messageClassified models IntegerField choices IS SPAM OR NAH null True contact models CharField max length blank True null True Edit views pyThe views will be mainly responsible for two tasks Process incoming POST requests Make a prediction with the incoming data and give the result as a Response Display the classified text into a HTML template import osfrom datetime import datetimefrom models import from django shortcuts import render redirectdef sms request if request method POST number request POST contact message request POST message datetime object containing current date and time now datetime now now now strftime d m Y H M S naiveModel ApiConfig model naiveVect VectorizerConfig model convertString str message message convertString data message vect naiveVect transform data toarray my prediction naiveModel predict vect print my prediction saveNow Monitor message message messageClassified my prediction contact number saveNow save return render request sms html inbox viewdef inbox request dataSaved Monitor objects all data dataSaved dataSaved print data return render request inbox html data On the monitor templates folder create sms html and inbox html web page and add the lines below monitor templates sms html file lt DOCTYPE html gt lt html lang en gt lt head gt lt meta charset UTF gt lt meta http equiv X UA Compatible content IE edge gt lt meta name viewport content width device width initial scale gt lt title gt Document lt title gt lt head gt lt body gt lt form id myform method POST gt csrf token lt div class row gt lt div class col form group gt lt input type text name name class form control p placeholder Your Name required required gt lt div gt lt div class col form group gt lt input type text name contact class form control p placeholder Your Contact required required gt lt div gt lt div gt lt div class form group gt lt textarea class form control py px name message rows placeholder Message required required gt lt textarea gt lt div gt lt div gt lt button class btn btn primary py px type submit gt Send Message lt button gt lt div gt lt form gt lt body gt lt html gt monitor templates inbox html file lt DOCTYPE html gt lt html gt lt style gt table th td border px solid black lt style gt lt body gt lt h gt A basic HTML table lt h gt lt table style width gt lt tr gt lt th gt lt th gt lt th gt From lt th gt lt th gt Body lt th gt lt th gt Classification lt th gt lt tr gt for x in dataSaved lt tr gt lt td gt loop index lt td gt lt td gt x contact lt td gt lt td gt x message lt td gt if x messageClassified lt td gt Spam lt td gt else lt td gt Non Spam lt td gt endif lt tr gt endfor lt table gt lt body gt lt html gt Make the necessary migrations like so myenv python manage py makemigrations myenv python manage py migrate myenv python manage py runserver Testing if it works Head over and complete the form with both spam and non spamProceed to inbox to check out the classified data Below is a snapshot of my implementation sorry I couldn t make the CSS Thanks for staying tuned	2021-11-17 15:30:09
海外TECH	DEV Community	What Is Crypto and How Does It Work ?	https://dev.to/bekbrace/what-is-crypto-and-how-does-it-work--3h0k	What Is Crypto and How Does It Work I hate changes I like to use what I know and what I m used to use if that makes any sense I love real cigarettes when I used to smoke and never had Vype or e cigarettes I like to date real women drinking coffee and having a human interaction have you seen that video in Japan where there was a wedding between a man and his digital girlfriend living in a hologram and of course I love real money in coin and paper As technology evolves things around us change take a look to Zuckerberg s Meta where he wants to have a paralel world using Augmented reality where people live virtually and trade virtually using digital money the term “digital money is frequently used to characterize cryptocurrency While this definition is accurate it falls short of capturing what makes cryptocurrency so special and intriguing to so many investors Let s talk a little bit about what is Crypto Cryptocurrency is at its foundation a value system When you buy a cryptocurrency you then are betting that the asset s value will rise in the future similar to how stock market investors purchase securities in the hopes of seeing the company s stock price rise exact same conceptStock values are based on discounted projections of future cash flows and because there is no underlying corporation there is no valuation metric for cryptocurrencies the value of a cryptocurrency is solely determined by investor appetite acquiring or getting rid of Now the two elements that determine the cryptocurrency s value are The chance of other investors buying whatever cryptocurrency they want The utility of that cryptocurrency s blockchain Let s discuss this further and ask What is cryptocurrency really and how does it actually work Blockchain technology is the heart and sould of cryptocurrency but what exactly is a blockchain Simply put a blockchain is a digital ledger of transactions This database or ledger is shared over a network of computer systems The ledger is not controlled by a single system Instead a blockchain is maintained and transactions are authenticated by a decentralized network of computers Those who are in favor of blockchain technology and I miraculously became one of them claim that it can improve data openness trust and security when shared across a network Detractors claim that blockchain is inconvenient inefficient expensive and wasteful of energy If a rational crypto investor believes in the power and utility of a digital asset s underlying blockchain they will purchase it All cryptocurrencies are built on the blockchain which means that crypto investors are betting whether they realize it or not on the blockchain s robustness and attractiveness On the underlying blockchain cryptocurrency transactions are recorded in eternity In the form of blocks groups of transactions are added to the chain which authenticate the transactions legitimacy and keep the network up and operating The shared ledger which is open to the public records all batches of transactions Anyone can look at the transactions on the biggest blockchains such as Bitcoin BTC and Ethereum ETH at any time ETH However why do users devote computing resources to verifying blockchain transactions They are compensated with the underlying cryptocurrency to be sure A proof of work PoW mechanism is an incentive driven system Miners are the computers that work to verify the authenticity of blockchain transactions Miners receive freshly generated crypto currencies in exchange for their energy By the way I am preparing some quick tutorials with streamlit on blockchain and crypto if you re into Python programming I think you ll like it Back to our crypto talk So cryptocurrency investors and this could be you do not keep their funds in regular bank accounts right You have digital addresses instead These addresses include private and public keys which are long sequences of numbers and letters that allow cryptocurrency users to send and receive money Unlocking and sending cryptocurrency requires private keys Public keys are made available to the public and allow the possessor to receive cryptocurrency from anyone Bitcoin without a doubt has shifted the paradigm there has never been anything quite like it before and it has created an altogether new platform for investing and a new way of thinking about money I still love real things but to tell the truth cryptocurrency is the future of global finance maybe next year maybe in or years either way it s gonna happen and you better be ready	2021-11-17 15:27:25
海外TECH	DEV Community	A better way to discover junior front-end developers	https://dev.to/frontendmentor/a-better-way-to-discover-junior-front-end-developers-58e6	A better way to discover junior front end developersSince launching the Frontend Mentor platform in April our community has grown to over members The idea for Frontend Mentor came to me when I was teaching front end web development at General Assembly I wanted to make it easier for my students to practice and create projects for their portfolios Our projects or challenges mimic a real life workflow for a front end developer In a professional setting a designer would do the design work and it would then be the developer s job to recreate it in code Our challenges help developers focus on what developers do best writing code We come up with the project ideas and the designs our community builds the projects to help improve their coding skills Not only does this mean they gain hands on experience working from realistic designs but it also means our community members end up with a professional looking portfolio of beautiful projects Example screenshot of a Frontend Mentor challenge Figma design fileIt s been incredible to see Frontend Mentor grow into a vibrant positive community where everyone supports each other As we ve looked for more ways to help our community we found one common theme it s hard to land junior roles Recurring sticking points include Companies often have unrealistic expectations For example it s not uncommon to see junior roles advertised requiring several years of experience Many interview processes include whiteboarding assessments based on algorithms even for junior front end roles Good junior job listings are often hyper competitive Some even receive hundreds of applications in the first day or two of being advertised Companies are often vague about their salary ranges interview process and training paths Helping our community find work has always been a goal of Frontend Mentor To better understand the problem we started talking to people in hiring positions to see if they also experienced difficulties hiring juniors It very quickly became apparent that they did Common issues people in hiring positions highlighted when hiring juniors include There s no clear “best strategy for discovering junior talent Companies often use a mixture of job listings partnerships with educational institutions trawling LinkedIn and getting recommendations from existing employees Large numbers of applicants many of whom don t meet the specified criteria This means companies are often drowning in a sea of resumés and cover letters The resuméand cover letter review process is often very high level and error prone so it s easy for talented developers to slip through the net GitHub profiles can be hard to navigate when trying to find suitable projects to assess skills Portfolio projects can often be old and the developer might have only had a small role in the codebase Portfolio projects for juniors often don t look great after all developers are not designers so it can be hard to see past the UI UX and focus on the code There s no track record to base decisions on so finding the right developer can be a lottery The process is often bloated and inefficient There can be many stages including initial applications resuméreview screening calls technical tests in person interviews and more After talking to a wide range of people we believe we re in a unique position we have an opportunity to help both the developers within our community and companies looking to hire juniors Introducing the Frontend Mentor Hiring platformDue to launch in early we ve started working on a hiring platform to complement our learning platform Our mission will be to help connect great companies with our incredible developer community Our first offering within the hiring platform will be called Talent Search which will enable companies to search for developers using specific criteria This includes attributes like experience skills and location Talent Search will then surface the developers on our platform that best match these criteria Talent Search will make it possible to proactively search for developers instead of waiting for people to apply to open roles In a sea of resumés and cover letters so many talented developers can slip through the cracks with traditional job applications Our goal is to let the completed projects and code reviews posted speak for themselves This will provide incredible insights into developers talent knowledge and written communication skills It might even help bypass a stage or two of the hiring process saving time and money We ve had numerous developers in the community who have been hired based on the strength of their Frontend Mentor projects After a technical conversation about their projects and an interview they ve received job offers We d love to make this a regular occurrence Marko Nikolajević markez In a few weeks I ll start a new job as angular developer ️the funny thing is that they didn t aske any test to do thanks to projects I made from frontendmentor mattstuddert angular FrontEndDeveloper frontendmentor PM Aug The developers will have to state that they re available for work through their settings If a developer doesn t opt in they won t show up on the hiring platform Showing only the developers looking for work will filter out the noise for hiring managers It will also ensure our developers aren t receiving unsolicited messages when they re not looking for a new job We have lots of ideas for the hiring platform but we ll start with our Talent Search offering and evolve it from there based on feedback What can you do If you re involved in your company s hiring process please check out the hiring platform page on Frontend Mentor where you can learn more and sign up for our waitlist If you re already a professional developer please share with anyone in your organization who is part of the developer hiring process We ll launch a closed beta before our public launch We d love to get as much feedback as possible to provide a great solution that works for everyone Also if you ve got any questions please feel free ask	2021-11-17 15:12:17
海外TECH	DEV Community	My favourite DevOps & cloud native tools By Civo	https://dev.to/aniketmishra/my-favourite-devops-cloud-native-tools-by-civo-6cl	My favourite DevOps amp cloud native tools By CivoHello everyone since I have been working in the DevOps space for a year now I thought that it would be interesting to create an overview of my favourite cloud native tool This is a list of tools that I either currently use or got to use within the previous year I would love to hear from you about your favourite tools ーand if I don t know them yet I might create an overview video so please do reach out All tools are divided by category ーnow there are maybe some tools that I have not thought of and will later on Thus this blog post will likely be a live update of my favourite tools If you prefer the video version of this post here is the accompanying YouTube video CI CD pipelinesThe CI CD pipeline tool that you choose to use either for your personal development needs or for your business will highly depend on the version control system that you are already using and the resources that you have available For instance if you are already using GitLab it makes sense to utilise the GitLab ecosystem Similarly when you are using GitHub the GitHub ecosystem will likely be your preferred choice When I started working in the cloud native ecosystem I was first introduced to Codefresh Codefresh is a really nice platform that is easy to use and will allow you to cover complex use cases while getting comprehensive insights into your deployments However I would argue that for most companies it is going to be an overkill and you would not actually need most of their features Codefresh provides DevOps specific tools and Dashboards to provide you with additional insights into your deployments Their platform is constantly evolving and not all features might be supported at the same level Similarly you have a chance to get access to an innovative platform that provides you with additional GitOps specific functionality This is something that you are less likely to find on conventional platforms Other than Codefresh I have worked with GitHub Actions and GitLab CI For most teams I would argue that both provide enough functionality to automate your deployments In this case I would make it dependent on where your project is hosted With GitHub Actions you will have a lot more community supports For further information have a look at this video I made providing an overview of GitHub Actions Introduction to GitHub Actions ObservabilityI really really love using Grafana It takes some time to get started and use it to its best However once you figure out how to set up new dashboards for your data it allows you to filter your metrics for the data that is useful for your application Below is a gif from this examples tutorial on Katacoda that Bartek and I created a while ago Try it out yourself The link to the Katacoda tutorial is in the description of the repository Furthermore Grafana launched on call functionality alongside other highly requested features during ObservabilityCON th to th of November This alongside Grafana alerts and other features makes Grafana the go to tool for all things monitoring and observability that you can no longer live without Kubernetes ProviderI am highly biased here since I am working for Civo However if your main interest is Kubernetes clusters and you are looking for a managed solution Civo has the best user experience It is really easy to get started with AND your cloud bill will stay low Many companies are already using Civo in production and you can get started too Everything that can be built on ks clusters can also be built on Civo ks clusters Civo Cloud Kubernetes Overview For further information have a look at this video I made providing an overview of Civo Note that with the Prometheus operator on the marketplace you can spin up your entire observability stack including Prometheus and Grafana alongside your Kubernetes cluster in just a few minutes Kubernetes Configurations and PolicyI have talked about Datree a lot before ーfirst of all because you get it practically for free Secondly Kubernetes is difficult and Datree is THE tool that can make it a little bit easier for you to get started by checking your Kubernetes Manifests for any misconfiguration that might have been introduced You can set policies and even customise policies to fit your application needs For further information have a look at this video I made providing an overview of Datree Verify Kubernetes Deployments with Datree InfrastructureI work with Terraform on a daily basis for the past months The documentation is great Once you have figured out a flow for your infrastructure setup and deployments you will basically do the same thing every time you deploy new tools or you introduce any updates Automating your testing and deployment process can help you save a lot of time in the long term This video shows a simplified version of the flow that we have in place at Civo If you are interested in what the use of Terraform may look like in production then have a look at this Civo meetup recording Full Tutorial Deploying Helm Charts in Kubernetes with Terraform Cloud Native to the extremeThose of you who already know me are aware of my constant involvement with Crossplane and how much I like to showcase its use I ve also had the chance to create the Civo Crossplane provider ーso if you are already using Civo you might want to have a look at Crossplane on how you can optimise your cloud native infrastructure management Overall I like Crossplane because it allows me to show how far cloud native resource management can go Crossplane helps you to manage your infrastructure as Kubernetes resources spin up and reconcile infrastructure like you would manage any other Kubernetes resources If this got you curious have a look at this overview video Tutorial Using Crossplane to Setup Your Azure Kubernetes Service Day of DaysOfKubernetes SecurityAqua Sec has several open source tools that allow you to scan your cloud native deployments for vulnerabilities I am just getting started with Security related tools However if this is something you are interested in I would suggest having a look at Aqua Sec or Falco Maybe I will write a separate blog post about using their tools FYIYou might wonder why I am not including any developer platforms Hereby I mean platforms that allow you to deploy containers on Kubernetes clusters with minimum effort I have a very strong opinion on end to end platforms If you would like to hear it please do let me know and I am happy to make a separate video about it However this would detract from the tools that I have outlined in this post SummarisingThe CNCF landscape is massive and as you can imagine there is always yet another tool to explore Thus this list will likely change over the next months or years Maybe at some point I will redo it completely Until then I hope this gave you some insights into the tools that I like to use some of them on a daily basis and the tools that I would generally recommend	2021-11-17 15:06:25
Apple	AppleInsider - Frontpage News	Apple's Self Service Repair answers critics, doesn't help users	https://appleinsider.com/articles/21/11/17/apples-self-service-repair-answers-critics-doesnt-help-users?utm_medium=rss	Apple x s Self Service Repair answers critics doesn x t help usersJust because you can do something it doesn t mean you will Apple may be counting on that with its new Self Service Repair program as repairs are likely to come with a high initial outlay Apple s new Self Service Repair programApple should be applauded for launching its Self Service Repair program Keep the din to a minimum though because it almost certainly did it to head off future legislation Read more	2021-11-17 15:50:20
Apple	AppleInsider - Frontpage News	UK probes Apple, Google over concerns they're endangering children	https://appleinsider.com/articles/21/11/17/uk-probes-apple-google-over-concerns-theyre-endangering-children?utm_medium=rss	UK probes Apple Google over concerns they x re endangering childrenApple and Google are among dozens of technology companies that are being investigated by the UK data protection regulator following allegations that they were endangering children online Credit James Yarema UnsplashThe Office of the Information Commissioner on Wednesday announced that it reached out to companies across the social media gaming or video and music streaming industries to investigate how they interacted with children The Financial Times has reported Read more	2021-11-17 15:39:02
Apple	AppleInsider - Frontpage News	Best deals Nov. 17: AirTag 4-pack for $88, 20% off Razer Kishi, big 4K TV discounts, and more!	https://appleinsider.com/articles/21/11/17/best-deals-nov-17-airtag-4-pack-for-88-20-off-razer-kishi-big-4k-tv-discounts-and-more?utm_medium=rss	Best deals Nov AirTag pack for off Razer Kishi big K TV discounts and more Wednesday s best deals include off a inch Hisense K TV off a Twelve South PowerPic photo frame and off a TB Samsung M EVO Plus SSD for PS Best deals for November The internet has a plethora of deals each day but many deals aren t worth pursuing In an effort to help you sift through the chaos we ve hand curated some of the best deals we could find on Apple products tech accessories and other items for the AppleInsider audience Read more	2021-11-17 15:03:32
Apple	AppleInsider - Frontpage News	Apple will allow customers to repair iPhones and Macs in 2022	https://appleinsider.com/articles/21/11/17/apple-will-allow-customers-to-repair-iphones-and-macs-in-2022?utm_medium=rss	Apple will allow customers to repair iPhones and Macs in Apple has conceded some of the battles it has been fighting with the Right to Repair movement and for the first time will sell parts and tools directly to consumers with the new Self Service Repair program Announced on Wednesday the new program will first launch in early with iPhone and iPhone parts The company says that parts will expand soon to the Mac with M chips Creating greater access to Apple genuine parts gives our customers even more choice if a repair is needed said Jeff Williams Apple s chief operating officer in a statement In the past three years Apple has nearly doubled the number of service locations with access to Apple genuine parts tools and training and now we re providing an option for those who wish to complete their own repairs Read more	2021-11-17 15:52:28
Apple	AppleInsider - Frontpage News	B&H launches early Black Friday sale: Up to $400 off new MacBooks, iPads, iMacs	https://appleinsider.com/articles/21/11/17/bh-launches-early-black-friday-sale-up-to-400-off-new-macbooks-ipads-imacs?utm_medium=rss	B amp H launches early Black Friday sale Up to off new MacBooks iPads iMacsB amp H s early Black Friday Sale is live ーand Apple products including inch and inch MacBook Pros are up to off instantly Supplies are limited and the deals may sell out ahead of the Thanksgiving weekend New Apple deals at B amp H Read more	2021-11-17 15:51:48
海外TECH	Engadget	Tidal adds a free tier and brings HiFi audio to its $10 plan	https://www.engadget.com/tidal-free-streaming-plan-artist-paymetns-royalties-153606001.html?src=rss	Tidal adds a free tier and brings HiFi audio to its planTidal is adding a free ad supported tier as it seeks to expand its user base The option which is only available in the US for now includes access to Tidal s entire library of million songs as well as playlists The service noted on Twitter that it s introducing the free tier to quot remain competitive quot with its rivals eight months after Square bought a majority stake in the company Tidal says the plan is rolling out on Android and quot will be available on all devices in the coming days quot There are some trade offs beyond occasional ads of course The audio quality tops out at kbps there s no offline listening option and it doesn t appear that you ll have unlimited skips The later feature is mentioned explicitly as part of the revamped month Tidal HiFi plan Tidal says users on that plan can now listen to music in HiFi quality ーup to kbps There are no ads and you ll gain access to more than videos Users can listen to music in HiFi quality on connected devices through Tidal Connect and they ll be able to track and share what they re listening to via a new activity feed In addition there s a month HiFi Plus plan It includes everything from the HiFi tier as well as master quality audio at up to kbps The plan also offers immersive spatial audio formats such as Dolby Atmos and Sony Reality Audio and early access to upcoming features Both HiFi plans are available in all countries in which Tidal operates What s more the HiFi Plus tier has a couple of new features centered around artists One of those is direct to artist payments which Tidal is rolling out today Every month percent of a HiFi Plus user s subscription fees i e will go to the artist they listen to the most That s on top of regular streaming royalties It s another way for users to support their favorite artists Fan Centered Royalties will not be aggregated Instead royalties will go to the artists that TIDAL users actually stream so fans can directly support the artists they love What a concept right This will start in January at our HiFi Plus tier pic twitter com QzfleYOcーTIDAL TIDAL November Starting in January Tidal will roll out a revamped artist payment system called fan centered royalties Every time a HiFi Plus user listens to one of their songs they ll receive a quot significantly higher quot per stream payment than other music streaming services payouts Apple Music pays a penny per stream while artists have long been asking Spotify for a similar rate Tidal says quot royalties attributed to HiFi Plus subscribers will not be aggregated quot Payments will be tied to each individual user s listening activity but only on that tier HiFi Plus users will be able to see how those payments are divvied up through their activity feed In addition to revamping the payment model Tidal is aiming to ensure quot quick and seamless quot payouts to artists around the world It s working with Square Cash App and PayPal to facilitate those These are bold but perhaps necessary moves by Tidal as it aims to become more competitive with larger music streaming services Tidal was one of the first major proponents of lossless audio but as rivals started offering that option at no extra cost it more or less had to bring that option to the month plan Apple Music added lossless and Dolby Atmos spatial audio features in June Amazon Music Unlimited dropped the premium fee for HD and Ultra HD streaming in May It too offers spatial audio as part of the regular plan Meanwhile many of Tidal s rivals have long offered ad supported free streaming options including Spotify Amazon Music Deezer and YouTube Music At the opposite end of the scale Spotify announced plans in February to roll out a CD quality audio plan also called HiFi in select markets at some point this year It has yet to do so	2021-11-17 15:36:06
海外科学	NYT > Science	Overdose Deaths Reached Record High as the Pandemic Spread	https://www.nytimes.com/2021/11/17/health/drug-overdoses-covid.html	government	2021-11-17 15:02:01
金融	◇◇　保険デイリーニュース　◇◇（損保担当者必携！）	保険デイリーニュース(11/18)	http://www.yanaharu.com/ins/?p=4775	損保ジャパン	2021-11-17 15:10:20
金融	RSS FILE - 日本証券業協会	株主コミュニティの統計情報・取扱状況	https://www.jsda.or.jp/shiryoshitsu/toukei/kabucommunity/index.html	株主コミュニティ	2021-11-17 15:30:00
金融	金融庁ホームページ	「犯罪利用預金口座等に係る資金による被害回復分配金の支払等に関する法律第三十六条第一項の規定による立入検査をする職員の携帯する身分を示す証明書の様式を定める命令」及び「民間公益活動を促進するための休眠預金等に係る資金の活用に関する法律第四十四条第一項の規定による立入検査をする職員の携帯する身分を示す証明書の様式を定める命令」の一部改正（案）に対するパブリックコメント手続きの結果等について公表しました。	https://www.fsa.go.jp/news/r3/ginkou/20211117/20211117.html	「犯罪利用預金口座等に係る資金による被害回復分配金の支払等に関する法律第三十六条第一項の規定による立入検査をする職員の携帯する身分を示す証明書の様式を定める命令」及び「民間公益活動を促進するための休眠預金等に係る資金の活用に関する法律第四十四条第一項の規定による立入検査をする職員の携帯する身分を示す証明書の様式を定める命令」の一部改正案に対するパブリックコメント手続きの結果等について公表しました。	2021-11-17 17:00:00
金融	金融庁ホームページ	「デジタル・分散型金融への対応のあり方等についての研究会」中間論点整理について公表しました。	https://www.fsa.go.jp/news/r3/singi/20211117.html	Detail Nothing	2021-11-17 17:00:00
金融	金融庁ホームページ	職員を募集しています。（金融モニタリング業務に従事する職員【弁護士】）	https://www.fsa.go.jp/common/recruit/r3/souri-08/souri-08.html	Detail Nothing	2021-11-17 17:00:00
ニュース	BBC News - Home	Probe after British F-35 fighter crashes in Mediterranean	https://www.bbc.co.uk/news/uk-59323895?at_medium=RSS&at_campaign=KARANGA	aircraft	2021-11-17 15:40:19
ニュース	BBC News - Home	Liverpool bomber had been planning attack since April	https://www.bbc.co.uk/news/uk-england-59317136?at_medium=RSS&at_campaign=KARANGA	police	2021-11-17 15:07:20
ニュース	BBC News - Home	Amazon to stop accepting Visa credit cards in UK	https://www.bbc.co.uk/news/business-59306200?at_medium=RSS&at_campaign=KARANGA	january	2021-11-17 15:36:28
ニュース	BBC News - Home	More than 1,000 calls made to racism in cricket inquiry in a week	https://www.bbc.co.uk/sport/cricket/59323569?at_medium=RSS&at_campaign=KARANGA	racism	2021-11-17 15:18:15
北海道	北海道新聞	冬間近　老木守る雪つり　帯広・真鍋庭園	https://www.hokkaido-np.co.jp/article/612752/	帯広市稲田町	2021-11-18 00:20:07
北海道	北海道新聞	英女王、軍幹部と接見　対面公務、１カ月ぶり公開	https://www.hokkaido-np.co.jp/article/612813/	接見	2021-11-18 00:06:00
北海道	北海道新聞	１カ月娘を殴り死なせた疑い　２３歳男逮捕「泣きやまず」	https://www.hokkaido-np.co.jp/article/612812/	頭部	2021-11-18 00:06:00