投稿時間:2022-01-08 23:24:53 RSSフィード2022-01-08 23:00 分まとめ(30件)

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python	Pythonタグが付けられた新着投稿 - Qiita	Django REST framework で一括登録のエンドポイントを作る（bulk_create）	https://qiita.com/Utena-lotus/items/c7bde7f663cfc4aabff1	リストで送って一括で登録するエンドポイントを作る調べていくと一括登録するbulkcreateというメソッドがあることを知った。	2022-01-08 22:53:59
python	Pythonタグが付けられた新着投稿 - Qiita	GiNZA sub_phrases で文節の依存関係を解析	https://qiita.com/suzuki_sh/items/9cbd830e834be5c31da8	ginzaphraseを使った場合analyze焼肉を食べない日はないginzaphrase日ない焼肉食べ食べ日ginzabunsetuを使った場合analyze焼肉を食べない日はないginzabunsetu日はない焼肉を食べない食べない日はところで、このsubphrasesのソースコードは下記のようになっています。	2022-01-08 22:26:10
python	Pythonタグが付けられた新着投稿 - Qiita	三角関数を使って円を描く	https://qiita.com/hiratake_0108/items/dbb4749edcaa110d3ae8	三角関数を使って円を描くやったこと学習用のプログラミングの問題をやっていて、三角関数がわからなくてプログラムが設計できなかったのが悔しかったので、数学を学びなおしています。	2022-01-08 22:15:02
js	JavaScriptタグが付けられた新着投稿 - Qiita	TypeScriptチートシート4（応用）	https://qiita.com/t_109609akg/items/e9f6cfc1eceadddc4f8b	TypeScriptチートシート応用インターセクション型・合併型uniontypesAかBどちらかの型を持つ・交差型intersectionAとB両方の型を持つ共通する型ではないtypeEngineernamestringrolestringtypeBloggernamestringfollowernumbertypeEandBEngineerampBloggerconstsudaEandBnamemasakirolefrontendfollowerUnion型の絞り込みinterfaceHogefoostringbarnumberinterfacePiyofoonumberbazbooleantypeHogePiyoHogePiyoオブジェクトにbarとbaz両方あるとどちらの型になるのかわからないので、参照できないconstobjHogePiyofoohellobarbazfalseプロパティbarは型HogePiyoに存在しません。	2022-01-08 22:20:22
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	java.lang.ClassNotFoundException: エラーについて	https://teratail.com/questions/377231?rss=all	javalangClassNotFoundExceptionエラーについてお世話になっております。	2022-01-08 22:55:46
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	MAMPの起動アイコンについて	https://teratail.com/questions/377230?rss=all	macosmamp	2022-01-08 22:50:31
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	【Kotlin】messageTextViewのクラスの導入?インポートが出来ません。	https://teratail.com/questions/377229?rss=all	【Kotlin】messageTextViewのクラスの導入インポートが出来ません。	2022-01-08 22:44:39
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Rで作成した円グラフの編集その２	https://teratail.com/questions/377228?rss=all		2022-01-08 22:25:40
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	laravelでMailを送ろうとコントローラーを実装しているが送れない。	https://teratail.com/questions/377227?rss=all	laravelでMailを送ろうとコントローラーを実装しているが送れない。	2022-01-08 22:15:32
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	さくらインターネットからロリポップへ変更したい	https://teratail.com/questions/377226?rss=all	ロリポップも触ってみたいと思い、ドメインは同じものを利用してロリポップのサーバーを使いたいと思っています。	2022-01-08 22:13:28
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	デプロイでエラーが出てしまった。	https://teratail.com/questions/377225?rss=all	デプロイでエラーが出てしまった。	2022-01-08 22:12:59
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	jQuery ボタンオブジェクトの取得ができず、button.prop('disabled', false)などの操作ができない。	https://teratail.com/questions/377224?rss=all	jQueryボタンオブジェクトの取得ができず、buttonpropxdisabledxfalseなどの操作ができない。	2022-01-08 22:09:54
Ruby	Rubyタグが付けられた新着投稿 - Qiita	処理に名前をつけて使おう①　introduceメソッド	https://qiita.com/itosyo4126/items/fd12b15e442678106d57	メソッドの処理処理ターミナルから数値を入力させる処理入力した数値を倍にした値を戻り値にする解答defdoublenumgetstoinumendもしくはreturnを使ってdefdoublenumgetstoireturnnumend解説まず、メソッドの定義をします。	2022-01-08 23:00:13
Ruby	Rubyタグが付けられた新着投稿 - Qiita	【Rails】ファイル投稿ボタンをカスタマイズ（備忘録）	https://qiita.com/Fu990628/items/ead4de2c623082a54262	【Rails】ファイル投稿ボタンをカスタマイズ備忘録ファイルを投稿するボタンをカスタマイズする方法を残しておきます。	2022-01-08 22:11:06
AWS	AWSタグが付けられた新着投稿 - Qiita	AWS ToolKit For Eclipseを利用してDynamoDBのテーブルを作成するハンズオン	https://qiita.com/yoyoyo_pg/items/9c6b6de2cd86e61b7b99	AWSToolKitForEclipseを利用してDynamoDBのテーブルを作成するハンズオンもくじ①IAMユーザの作成ロールの作成②EclipseマーケットプレイスでAWSToolKitForEclipseをインストール③プロジェクトを作成してjar実行④おわりに①IAMユーザの作成ロールの作成ロールにAmazonDynamoDBFullAccessを付けておけばいいのかなと思います。	2022-01-08 22:38:31
AWS	AWSタグが付けられた新着投稿 - Qiita	AWS SysOps アドミニストレーター試験にギリギリ合格した話(SOA-C02)	https://qiita.com/Gomane2/items/7d331c0d37dd7e8d793d	【AWS認定資格】SOACにアップデートされたぞぉぉぉ途中なのでちょくちょく更新AWSCertifiedSysOpsAdministratorの試験勉強して「へぇ」って思ったものを列挙してる記事問題ほとんど記憶にありませんが、勉強本番試験を通して合格するためにこれは覚えておいた方がいいなと思ったことを備忘録として記載します実務で参考になるかは不明。	2022-01-08 22:34:55
Ruby	Railsタグが付けられた新着投稿 - Qiita	active_hashで保存した都道府県の検索機能について（ransack使用）	https://qiita.com/aoi-tatekawa/items/255f1c48e37ca79cd13a	activehashで保存した都道府県の検索機能についてransack使用ransackを用いた検索機能実装今回は、現在作成しているSNSアプリでransackを使用して、登録されているユーザーの一覧ページから登録地域で絞り込みをする機能を作成していました。	2022-01-08 22:36:36
海外TECH	MakeUseOf	The 6 Best Sites That Help You Find the Best Places to Live	https://www.makeuseof.com/tag/6-websites-that-will-help-you-find-the-best-places-to-live/	round	2022-01-08 13:30:11
海外TECH	DEV Community	How to make an e-commerce website with HTML, CSS and JS - 01	https://dev.to/kunaal438/how-to-make-an-e-commerce-website-with-html-css-and-js-01-4m2h	How to make an e commerce website with HTML CSS and JS Hello Today in this article we ll learn to create an e commerce website using HTML CSS and JS This is a part of full stack e commerce website In this part we ll only create front end page s UI We ll create pages in this tutorial Home page the rest pages i e Product Page Search Page and page you can see the YT tutorial To see demo or you want full coding tutorial video for better understanding You can watch the tutorial below Video TutorialI appreciate if you can support me by subscribing my youtube channel CodeYou can see below our project s folder structure Download Images Get Source Codeso let start Home PageTo create home page open index html file and start with basic HTML template After done with that link style css file to it And also link Cinzel Lato google fonts Now let s make header section lt header gt lt header class header section gt lt h class header heading gt lt span gt premium lt span gt quality lt h gt lt header gt And let s give it some styles margin padding box sizing border box body font family cinzel serif header section width height vh background url img header png background size cover display flex justify content center align items center header heading font size px text transform capitalize color fff header heading span color dbeb Let s see the output OutputSo now let s make the navbar Navbar lt navbar gt lt nav class navbar gt lt ul class links container gt lt li class link item gt lt a href class link active gt home lt a gt lt li gt lt li class link item gt lt a href class link gt product lt a gt lt li gt lt li class link item gt lt a href class link gt about lt a gt lt li gt lt li class link item gt lt a href class link gt contact lt a gt lt li gt lt ul gt lt div class user interactions gt lt div class cart gt lt img src img cart png class cart icon alt gt lt span class cart item count gt lt span gt lt div gt lt div class user gt lt img src img user png class user icon alt gt lt div gt lt div gt lt nav gt And style it navbar width height px position fixed top left display flex justify content center z index transition s navbar bg background fff links container display flex align items center list style none link item margin px link font size px color fff text decoration none padding px opacity transition s navbar bg link color opacity link active link hover navbar bg link hover navbar bg link active opacity user interactions display flex position absolute right vw top transform translateY cart user width px height px position relative margin px cursor pointer cart icon user icon width height object fit cover cart item count font family lato sans serif color dbeb padding px font size px border radius background c position absolute bottom px left px You can notice I also have navbar bg in above CSS code I made that style so we can easily set navbar bg color to white when we scroll down It s looking great Now make the product card or best selling product section Best selling product section lt best selling products gt lt section class best selling product section gt lt h class section title gt best selling products lt h gt lt div class product container gt lt div class product card gt lt img src img product png class product img alt gt lt p class product name gt lights → lt p gt lt div gt more product cards lt div gt lt section gt And also style it best selling product best selling product section position relative padding px vw section title text transform capitalize font size px margin bottom px product container display flex justify content space between product card border px solid dbeb width px height px overflow hidden position relative background dbeb product card nth child even border color c background c product img width height object fit cover transition s product name position absolute color fff text transform capitalize font family lato sans serif font size px bottom px left transform translateX opacity transition s product card hover product name opacity product card hover product img opacity OutputAfter best selling product section we have sort of mid section which basically telling about the company in key points So let s make it now Mid section lt mid section gt lt section class mid section gt lt div class section item container gt lt img src img bg png class section bg alt gt lt div class section info gt lt h class title gt premium quality in lt span gt affordable lt span gt price lt h gt lt p class info gt lorem lt p gt lt div gt lt div gt lt section gt mid section mid section width height px padding px vw section item container width height position relative padding px section bg width height position absolute z index top left section info width height background fff display block margin left auto padding px text align center title font size px line height px title span color dbeb info font family lato sans serif font size px line height px margin top px opacity OutputIsn t it looking great Okay we have another section which is basically a image collage section in future we ll redirect user to the product page on clicking on those images Image Collage lt image collage section gt lt section class image mid section gt lt div class image collage gt lt div class image collection gt lt img src img poster png class collage img alt gt lt img src img poster png class collage img alt gt lt img src img poster png class collage img alt gt lt div gt lt div gt lt section gt image collage image mid section width height px padding px vw image collage width height background url img bg png background size cover image collection position relative display block width height background fff margin auto collage img position absolute object fit cover transition s collage img nth child width px height px top px left px collage img nth child width px height px top px left px collage img nth child width px height px top px left px collage img hover transform translateY px In the above we added hover effect to collage img But we haven t added that blur effect we ll do that from JS So open home js file and link it to the home page using script tag And then write some JS image collageconst collageImages document querySelectorAll collage img collageImages map item i gt item addEventListener mouseover gt collageImages map image index gt if index i image style filter blur px item style zIndex item addEventListener mouseleave gt collageImages map image index gt image style null The above is code is very easy to understand I just selected all the imaged and loop through each one using map method Then after I am adding mouseover and mouseleave events to the image If you didn t understood let me know in the comment OutputAfter all of this let s make review section Review section lt review section gt lt section class review section gt lt h class section title gt what our lt span gt customers lt span gt says about us lt h gt lt div class review container gt lt div class review card gt lt div class user dp data rating gt lt img src img user png alt gt lt div gt lt h class review title gt best quality more than my expectation lt h gt lt p class review gt Lorem lt p gt lt div gt more reviews lt div gt lt section gt review section review section padding px vw section title span color dbeb review container margin px margin bottom display flex justify content space between review card width px height auto font family lato sans serif user dp width px height px border radius position relative user dp img width height object fit cover user dp before content position absolute top px left px right px bottom px border px solid fff border radius user dp after content attr data rating position absolute bottom right px padding px px border radius px background dbeb review title font size px line height px margin px text transform capitalize review opacity OutputSo out last section is basically a copy of our mid section so you can copy it and paste after review section Then just change the classnames little bit End section lt end section gt lt section class end section gt lt div class section item container gt lt img src img bg png class section bg alt gt lt div class section info gt lt h class title gt order lt span gt now lt span gt lt h gt lt p class info gt Lorem lt p gt lt div gt lt div gt lt section gt lt footer gt made by modern web lt footer gt Also make the footer section end section section info margin end section title font size px line height px margin px footer font family lato sans serif color dbeb background c width height px line height px text align center text transform capitalize font size px OutputAnd the last thing make the navbar change its background to white on scroll home js navbarconst navbar document querySelector navbar window addEventListener scroll gt if scrollY gt navbar classList add bg else navbar classList remove bg Above code it easy If you still don t get it Ask me in the description OutputAnd finally we are done with the home page Don t worry about responsiveness we ll make this site responsive at the end We can now make our search page product page and page but I think the article is getting long So you can make those pages from the video So that s sit for today Great work I know it was a lot But e commerce website is not that simple Don t forget to follow me on youtube and dev to if you don t want to miss the next part of this series I hope you understood each and everything If you have doubt or I missed something let me know in the comments Articles you may find UsefulBest CSS EffectInfinte CSS loaderDisney CloneYoutube API Youtube CloneTMDB Netflix CloneI really appreciate if you can subscribe my youtube channel I create awesome web contents Source Code Buy me a coffeeYour donation really motivates me to do more amazing Thanks for watching	2022-01-08 13:39:32
海外TECH	DEV Community	💡 7 Tips for Successful Freelancing Career	https://dev.to/mrdanishsaleem/7-tips-for-successful-freelancing-career-7e8	Tips for Successful Freelancing CareerIdentify your niche and learn the right skills for the specific niche Build an attractive portfolioGrow your online presenceAsk for referrals don t wait for themCultivate repeat business so that you can get regular work from pervious clientsKnow your worth and charge accordingly️Revise your rates portfolio and skills regularly Let s connect You can follow me on Twitter Instagram amp GitHubIf you like this post Kindly support me on Buying Me a Coffee	2022-01-08 13:25:58
海外TECH	DEV Community	Understanding what influences data lakes costs	https://dev.to/aws-builders/understanding-what-influences-data-lakes-costs-10bi	Understanding what influences data lakes costsAcross both real time and batch processing data flows through different stages For each stage there is an option to use managed services from AWS or to use compute storage or network services from AWS with third party or open source software installed on top it In the case of managed services AWS provides service features like high availability backups and management of underlying infrastructure at additional cost In some cases the managed services are on demand serverless based solutions where the customer is charged only when the service is used In case of third party or open source software the user pays AWS for infrastructure components being used and does the management and administration work themselves in addition to license cost if applicable IngestionServices required for ingestion depend on the source of data the frequency at which the data should be consumed for processing to derive business value from it and the data transfer rate Cost factorsDepending on the services you choose the primary cost factors are Storage These are the costs you pay for storing your raw data as it arrives Data transfer These are the costs you pay for moving the data Costs can be either bandwidth charges leased line or offline transfer For example Snowball It is worth noting the analytics services should be deployed in the same Region to avoid unnecessary inter Region data transfer This improves performance and reduces costs Managed service costs These are the costs you pay usually per second or per hour for the service you are using if you chose a managed service from AWS for example AWS IoT or AWS Transfer for SFTP Cost optimization factorsWe recommend that you consider the following actions to reduce cost Use data compressionReduce run frequencyChoose a columnar formatCreate data lifecycle policiesChoose serverless services StreamingThis stage is only applicable for real time processing This stage is primarily responsible for ingesting the unbounded stream of data and providing guaranteed delivery for downstream processing Cost factorsThe primary costs of this stage areData transfer These are the costs you pay for the rate at which data is consumed by the data streaming service Streaming service costs These are the costs you pay usually per second or per hour for AWS management of Amazon Kinesis or Amazon MSK service that is being used including instance cost of Amazon MSK Storage cost This is the cost of storing data in streaming service until data is consumed by its consumers and processed Cost optimization factorsWe recommend that you consider the following actions to reduce cost Choose the right tool for the jobChoose serverless servicesUse automatic scalingUse Reserved Instances Processing and transformationThe cost of processing depends on number of factors such as the size of the data being processed the complexity of the transformations which leads to the choice of tool and how the data is stored format and compression Cost factorsThe primary cost at this stage includes Processing unit cost This is the cost of compute and memory required to process the data If you use a service like Amazon EMR the Amazon EC instance used to process the data will incur the cost Managed service costs These are the costs you pay usually per second or per hour for the management of the service For a serverless service like AWS Glue this will be billed based on the utilization of the service Storage cost This is the cost of storing the processed data Cost optimization factorsWe recommend that you consider the following actions to reduce cost Use data compressionPartition dataRight size your computeChoose serverless servicesUse Spot InstancesUse Reserved Instances Analytics StorageThe business value of data lakes is derived using tools in analytics stage Cost in this stage correlates directly to the amount of data collected and analytics done on the data to derive the required value Cost factorsThe primary cost of this stage includes Processing Unit cost This is the cost of instances used by the analytics tool being used Data Warehouse solution like Amazon Redshift or analytics solutions on Amazon EMR or operational analytics on Amazon Elasticsearch are all billed based on the instance type and number of nodes used Storage cost The data stored for analysis either on Amazon S or on the nodes of the analytics tool itself contribute to this cost Scanned data cost This is applicable only for serverless service like Athena and Amazon Redshift Spectrum where the cost is based on the data scanned by the analytics queries Cost optimization factorsWe recommend that you consider the following actions to reduce cost Use data compressionReduce run frequencyPartition dataChoose a columnar format Choose serverless servicesUse Spot InstancesUse Reserved InstancesRight size your instancesUse automatic scaling Visualization API accessVisualization is used to graphically present the enormous amount of data in data lake in a human consumable format API access refers to allowing developers to integrate your data in their apps to make it meaningful for consumers The rate at which data is refreshed or request affects the number of queries being fired and cost in the analytics stage Cost factorsThe primary cost of this stage includes Per user license cost Most of SaaS visualization tools charge per user license cost Processing unit cost The cost required to host the visualization software is applicable only for hosted visualization tools In memory processing cost This is the cost of the visualization need to load huge amount of data in memory for quick performance The amount of data required to be loaded also has a direct impact on cost for example Super fast Parallel In memory Calculation Engine SPICE in Amazon QuickSight Number of requests through an API As developers integrate with their apps the number of requests made for data will increase Cost optimization factorsWe recommend that you consider the following actions to reduce cost Choose the right tool for the jobChoose serverless servicesUse automatic scaling Use Reserved InstancesRight size your instances Metadata management data catalog and data governanceIn addition to the previous data lake stages you need the following components to make use of the data effectively and securely Metadata management Responsible for capturing technical metadata data type format and schema operational metadata interrelationship data origin lineage and business metadata business objects and description Data catalog An extension of metadata that includes features of data management and search capabilitiesData governance Tools that manage the ownership and stewardship of data along with access control and management of data usage Cost factorsThe primary cost of this stage includes Processing cost This is the cost associated with processing required to generate the catalog or metadata of data stored In governance tools this cost depends on number of governance rules that is being processed Storage cost This is the cost associated with amount of metadata and catalog stored License cost If there is any third party involved in providing these services it will include the cost of that license Cost optimization practicesWe recommend that you consider the following actions to reduce cost Choose the right tool for the jobChoose serverless servicesReduce run frequencyPartition data Choose a columnar format Cost optimizationAcross stages the following are general practices to optimize cost of the services used Use data compressionThere are many different formats for compression You should be selective about which one you choose to make sure it is supported by the services you are using The formats provide different features for example some formats support splitting meaning they support parallelization better whilst others have better compression but at the cost of performance Compressing the data reduces the storage cost and also reduces the cost for scanning data To give an example of how compression can help reduce costs we took a CSV dataset and compressed it using bzip This reduced the data from GB to GB a reduction If we extrapolate this compression ratio to a larger dataset TB the savings are significant Without compression per monthWith compression per month This represents a saving of Reduce run frequencyIn this scenario let s assume we generate TB of data daily We could potentially stream this data because it s available or choose to batch it and transfer it in one go Let s assume we have Gbps bandwidth available for the transfer from our source system for example on premises systems A single push of TB daily would take around two hours In this case we ll allow three hours for some variance in speed Also in this scenario we will use AWS SFTP to transfer the data In the first scenario we need the AWS SFTP service constantly running In the second scenario we only need it running for three hours a day to complete our transfer Running constant transfers as the data is available per monthRunning a single batch transfer daily per month This represents a saving of just over Partition dataPartitioning data allows you to reduce the amount of data that is scanned within queries This helps both reduce cost and improve performance To demonstrate this we used the GDELT dataset It contains around million rows stored in many CSV files We stored one copy un partitioned and a second copy partitioned by year month day SELECT count FROM gdeltv non partioned partitioned WHEREyear Unpartitioned Cost of query GB scanned per querySpeed of query minutes seconds Partitioned Cost of query GB scanned per querySpeed of query secondsThis represents a saving of and improved performance by Choose a columnar formatChoosing a columnar format such as parquet ORC or Avro helps reduce disk I O requirements which can reduce costs and drastically improve performance in data lakes To demonstrate this we will again use GDELT In both examples there is no partitioning but one dataset is stored as CSV and one as parquet CSV Cost of query GB scanned per querySpeed of query minutes seconds Partitioned Cost of query GB scanned per querySpeed of query secondsThis represents a saving of and improved performance by Create data lifecycle policiesWith Amazon S you can save significant costs by moving your data between storage tiers In data lakes we generally keep a copy of the raw in case we need to reprocess data as we find new questions to ask of our data However often this data isn t required during general operations Once we have processed our raw data for the organization we can choose to move this to a cheaper tier of storage In this example we are going to move data from standard Amazon S to Amazon S Glacier For our example we will model these costs with TB of data Standard Amazon S per monthAmazon S Glacier per month This represents a saving of just over Right size your instancesAWS services are consumed on demand This means that you pay only for what you consume Like many AWS services when you run the job you define how many resources you want and you also choose the instance size you want You also have ability to stop the instance when it s not being used and you can spin it up based on specific schedule For example transient EMR clusters can be used for scenarios where data has to be processed once a day or once a month Monitor instance metrics with analytic workloads and downsize the instances if they are over provisioned Use Spot InstancesAmazon EC Spot Instances let you take advantage of unused Amazon EC capacity in the AWS Cloud Spot Instances are available at up to a discount compared to on demand prices For example using spot helps the Salesforce save up to percent over Amazon EC Reserved Instance pricing and up to percent over on demand pricing Spot is a great use case for batch when time to insight is less critical In the following example we have modeled a transient Amazon EMR cluster that takes six hours to complete its job On Demand Instance per monthSpot Instance estimated at a conservative per month This represents a saving of just over Use Reserved InstancesAmazon EC Reserved Instances RI provide a significant discount up to compared to On Demand pricing and provide a capacity reservation when used in a specific Availability Zone This can be useful if some services used in the data lake will be constantly utilized A good example of this can be Amazon Elasticsearch In this scenario we ll model a node Amazon Elasticsearch cluster master data with both on demand and reserved pricing In this model we ll use cxlarge instances with a total storage capacity of TB On demand per monthRI three years all up front per month This represents a saving of just over Choose the right tool for the jobThere are many different ways to interact with AWS services Picking the right tool for the job helps reduce cost If you are using Kinesis Data Streams and pushing data into it you can choose between the AWS SDK the Kinesis Producer Library KPL or the Kinesis Agent Sometimes the option is based on the source of the data and sometimes the developer can choose Using the latest KPL enables you to use a native capability to aggregate multiple messages events into a single PUT unit Kinesis record aggregation Kinesis data streams shards support up to records per second or MB throughput Record aggregation by KPL enables customers to combine multiple records into a single Kinesis Data Streams record This allows customers to improve their per shard throughput For example if you have a scenario of pushing messages sec with byes in each message into a Kinesis data stream you can use KPL to aggregate them into Kinesis data stream records The following is the difference in cost between using latest version KPL and not Without KPL latest version per monthWith KPL latest version per month This represents a saving of Use automatic scalingAutomatic scaling is the ability to spin resources up and down based on the need Building application elasticity enables you to incur cost only for your fully utilized resources Building EC instances using an Auto Scaling group can provide elasticity for Amazon EC based services where applicable Even for serverless services like Kinesis where shards are defined per stream during provisioning AWS Application Auto Scaling provides ability to automatically add or remove shards based on utilization For example if you are using Kinesis streams to capture user activity for an application hosted in specific Region the streaming information might vary between day and night During day times when the user activity is higher you might need more shards compared to night times when the user activity would be very low Being able to configure AWS Application Auto Scaling based on your utilization enables you to optimize your cost for Kinesis Data flowing at rate of records sec with each record having K bytes will require shards If the data flow reduces to records sec for eight hours during night it would only need two shards Without AWS Application Auto Scaling per monthWith AWS Application Auto Scaling downsizing per monthThis represents a saving of Choose serverless servicesServerless services are fully managed services that incur costs only when you use them By choosing a serverless service you are eliminating the operational cost of managing the service For example in scenarios where you want to run a job to process your data once a day using serverless service incurs a cost only when the job is run In comparison using a self managed service incurs a cost for the provisioned instance that is hosting the service Running a Spark job in AWS Glue to process a CSV file stored in Amazon S requires minutes of DPU s and cost To execute the same job on Amazon EMR you need at least three m xlarge instances for high availability running at a rate of per hour Using a serverless service price per monthNot using a serverless service price per month This represents a saving of Similar savings are applicable between running Amazon Kinesis vs Amazon MSK and between Amazon Athena vs Amazon EMR While we are not covering cost optimization in any detail we have indicated the macro factors that you should consider during each stage to keep costs down To understand cost optimization in detail see the Analytics Lens for the AWS Well Architected Framework Hope this guide helps you Understand what influences data lakes costs Let me know your thoughts in the comment section And if you haven t yet make sure to follow me on below handles connect with me on LinkedInconnect with me on Twitter‍follow me on github️Do Checkout my blogs Like share and follow me for more content ltag user id follow action button background color important color fac important border color important Adit ModiFollow Cloud Engineer AWS Community Builder x AWS Certified x Azure Certified Author of Cloud Tech DailyDevOps amp BigDataJournal DEV moderator Reference Notes	2022-01-08 13:03:26
海外TECH	DEV Community	what is dapp in blockchain?	https://dev.to/cameroncartio/what-is-dapp-in-blockchain-1bmd	what is dapp in blockchain The content of this page has evolved over the years check wayback machine for previous iterations and was last updated in July with an excerpt from the book Token Economy which builds among others on the educational blogposts that have been published on this website since As opposed to centralised applications that run on a single computer decentralized applications run on a PP network of computers They have existed since the advent of PP networks Decentralized applications don t necessarily need to run on top of a blockchain network Tor BitTorrent Popcorn Time BitMessage are examples for decentralized applications that run on a PP network but not on a blockchain which is a special kind of PP network read more Origins of Bitcoin and Web Decentralized applications are a piece of so ware that communicates with the blockchain which manages the state of all network actors The interface of the decentralized applications does not look any different than any website or mobile app today The smart contract represents the core logic of a decentralized application Smart contracts are integral building blocks of blockchains that process information from external sensors or events and help the blockchain manage the state of all network actors The frontend of a decentralized application represents what you see and the backend represents the entire business logic This business logic is represented by one or several smart contracts interacting with the underlying blockchain The frontend as well as files like a photo a video or audio could be hosted on decentralized storage networks such as Swarm or IPFS Traditional Web applications use HTML CSS and javascript or the like to render a webpage This page interacts with a centralized database where all the data is stored When you use a service like Twitter Facebook Amazon or Airbnb for example the webpage will call an API to process your personal data and other necessary information stored on their servers to display them on the page User ID and passwords are used for identification and authentication with low levels of security since personalized data is stored on the server of the service provider Traditional websites Front End →API →Database Decentralized applications are similar to a traditional Web application The frontend uses the exact same technology to render the page It contains a “wallet that communicates with the blockchain The wallet manages cryptographic keys and the blockchain address Public key infrastructure is used for user identification and authentication Instead of an API connecting to a database a wallet so ware triggers activities of a smart contract which interacts with a blockchain Web compatible website Front End including wallet →Smart Contract →Blockchain In contrast to Web applications Web applications need a connection to the blockchain which is managed by a special application called “wallet It keeps a record of the private keys and blockchain address which represents the unique identities and point of reference Without a so ware that manages our digital identity we will not be able to interact with the blockchain The Web therefore builds on the current Web stack and introduces additional elements on an application level In the backend the Web adds a whole new infrastructure layer for decentralized applications to interact with the decentralized protocol stack Decentralized apps need to have a component that manages a user s private keys with which one can sign transactions on the state layer the blockchain read more Token Security Cryptography	2022-01-08 13:02:53
海外TECH	Engadget	FAA reveals 50 airports that will have C-band 5G buffer zones	https://www.engadget.com/faa-5g-buffer-zones-airports-133305569.html?src=rss	FAA reveals airports that will have C band G buffer zonesWhen AT amp T s and Verizon s C band G services go live on January th they ll be implementing buffer zones around airports in the US to reduce to risk of flight disruption The Federal Aviation Administration has released a list PDF of the airports it chose which include major passenger hubs such as Chicago O Hare International Dallas Fort Worth and Los Angeles Int l As The Wall Street Journal notes it also includes airports in foggy and cloudy locations like Seattle Tacoma International as well as cargo hubs like Indianapolis Int l The carriers were supposed to roll out their G service using their newly purchased frequencies on January th but they agreed to comply with the FAA s and Transportation Department s request to push back their expansion by two more weeks Authorities intend to use the extra time to investigate concerns that the new frequencies are too close to those used by airplanes radar altimeters The devices measure the distance between the plane and the ground to help planes land in poor visibility and poor weather conditions Wireless companies deny that using the C band frequencies for G will disrupt aviation The FAA said that Hartsfield Jackson International Airport and some of the other busiest airports in the US are missing from the list because they re nowhere near the areas where the new G services are deploying Meanwhile other large airports are also not included because they re deemed far away enough from the nearest G towers nbsp Airlines for America the association that represents major North American airlines told Reuters and The Post in a statement that it appreciates the quot FAA s efforts to implement mitigations for airports that may be most impacted by disruptions generated by the deployment of new G service quot However Kevin Burke the CEO of airport trade group Airports Council International North America is less than pleased Burke said the list is quot largely irrelevant because the entire aviation system is about to be adversely impacted by this poorly planned and coordinated expansion of G service in and around airports quot	2022-01-08 13:33:05
ニュース	BBC News - Home	FA Cup: Uche Ikpeazu fires Middlesbrough in front against Mansfield	https://www.bbc.co.uk/sport/av/football/59922607?at_medium=RSS&at_campaign=KARANGA	ikpeazu	2022-01-08 13:21:26
LifeHuck	ライフハッカー［日本版］	デジタルなのに手書きができる『Pencil Planner ＆ Calendar Pro』がスケジュール管理に大活躍｜これ買ってよかった	https://www.lifehacker.jp/2022/01/247869best-buy-app.html	pencilplannercalendarpro	2022-01-08 22:05:00
北海道	北海道新聞	バスケ、島根が１９勝目　Ｂリーグ１部、群馬下す	https://www.hokkaido-np.co.jp/article/631435/	太田市民	2022-01-08 22:16:00
北海道	北海道新聞	東京、２２年度予算過去最高　コロナ影響、７兆８千億円	https://www.hokkaido-np.co.jp/article/631434/	過去最高	2022-01-08 22:14:00
北海道	北海道新聞	ＵＳＪで１年遅れの成人式　同スタジオで初、大阪市	https://www.hokkaido-np.co.jp/article/631413/	大阪市此花区	2022-01-08 22:12:05
北海道	北海道新聞	相撲協会も既に複数回聴取　賭博容疑の英乃海と紫雷に	https://www.hokkaido-np.co.jp/article/631430/	木瀬部屋	2022-01-08 22:06:00
北海道	北海道新聞	オミクロン全道拡大の兆し　雪まつり開催へ関係者「判断のヤマ場」	https://www.hokkaido-np.co.jp/article/631415/	新型コロナウイルス	2022-01-08 22:03:56