投稿時間:2022-03-19 18:23:08 RSSフィード2022-03-19 18:00 分まとめ(24件)

カテゴリー等	サイト名等	記事タイトル・トレンドワード等	リンクURL	頻出ワード・要約等/検索ボリューム	登録日
TECH	Engadget Japanese	NASAの大型ロケットSLS、初めて発射台へ。打ち上げ前の試験を実施	https://japanese.engadget.com/sls-arrives-at-launch-pad-for-the-first-time-082002426.html	spacelaunchsystemsls	2022-03-19 08:20:02
AWS	lambdaタグが付けられた新着投稿 - Qiita	【ServerlessFramework】serverless.ymlで利用できる変数のまとめ	https://qiita.com/ktamido/items/24ccfbdaf287bc7855a6	serverlessymlyamlKeyXYZvariableSourceちなみに、serverlessの変数は再帰的な参照がサポートされており、変数をネストすることができます。	2022-03-19 17:47:00
python	Pythonタグが付けられた新着投稿 - Qiita	webdriver.Chrome() でChromedriverを開こうとしたら、chromedriverは開発元を検証できないため開けませんと表示された	https://qiita.com/pontarou194/items/805fba00a2ecabcf0941	解決方法手順開発元を検証出来ないと表示される際、キャンセルを選択「chromedriverは開発元を検証出来ないため、開けません」っと表示され、ゴミ箱に入れるキャンセルの択が出ますが、のキャンセルを選択。	2022-03-19 17:49:34
python	Pythonタグが付けられた新着投稿 - Qiita	Raspberry PiでgRPCが動かない	https://qiita.com/jkawamoto/items/83379f0278acb92fa3cf	RaspberryPiでgRPCが動かないRaspbianGNULinuxbullseyeにてgRPCを使ったPythonプログラムを実行しようとしたら次のエラーが出た。	2022-03-19 17:49:06
python	Pythonタグが付けられた新着投稿 - Qiita	ライブラリを使わずに三角関数	https://qiita.com/ilovem4th/items/d6639e08432437a6483b	ライブラリを使わずに三角関数ライブラリを使うとPythonでは標準ライブラリで三角関数の計算ができます。	2022-03-19 17:06:06
Linux	Ubuntuタグが付けられた新着投稿 - Qiita	Redmine(タスク管理)とGitLab(バージョン管理)を連携させてみた	https://qiita.com/AtsushiYokokawa/items/d7444408797d683cda23	GitLabにプロジェクトを作成で控えたパスがTestProjectプロジェクトのディレクトリです。	2022-03-19 17:36:43
Linux	Ubuntuタグが付けられた新着投稿 - Qiita	Ubuntuでユーザ追加したらsudo使えなかった。	https://qiita.com/unkomorasi01/items/219b56f2c9ddc8df4fe7	Ubuntuでユーザ追加したらsudo使えなかった。	2022-03-19 17:34:57
AWS	AWSタグが付けられた新着投稿 - Qiita	【ServerlessFramework】serverless.ymlで利用できる変数のまとめ	https://qiita.com/ktamido/items/24ccfbdaf287bc7855a6	serverlessymlyamlKeyXYZvariableSourceちなみに、serverlessの変数は再帰的な参照がサポートされており、変数をネストすることができます。	2022-03-19 17:47:00
AWS	AWSタグが付けられた新着投稿 - Qiita	パブクラ上のOracle Database デフォルト初期化パラメータの違いについて調べてみた	https://qiita.com/asahide/items/cbd704527c8cf22803af	初期化パラメータの違いについて、マニュアル等も確認してみたが特に記載が見つからなかったため、備忘のためにこちらに記録を残しておきます。	2022-03-19 17:09:58
技術ブログ	Developers.IO	CloudTrail のイベント履歴で実行したアクションが見当たりません。なぜでしょうか?	https://dev.classmethod.jp/articles/tsnote-cloudtrail-i-cant-find-the-action-i-performed-in-the-cloudtrail-event-history/	cloudtrail	2022-03-19 08:38:45
海外TECH	DEV Community	Blockchain Technology	https://dev.to/sivasakthy_v_4958554fb063/blockchain-technology-43mm	Blockchain TechnologyBlockchain is a system of recording information in a way that makes it difficult or impossible to change hack or cheat the system A blockchain is essentially a digital ledger of transactions that is duplicated and distributed across the entire network of computer systems on the blockchain Each block in the chain contains a number of transactions and every time a new transaction occurs on the blockchain a record of that transaction is added to every participant s ledger The decentralised database managed by multiple participants is known as Distributed Ledger Technology DLT Blockchain is a type of DLT in which transactions are recorded with an immutable cryptographic signature called a hash This means if one block in one chain was changed it would be immediately apparent it had been tampered with If hackers wanted to corrupt a blockchain system they would have to change every block in the chain across all of the distributed versions of the chain Blockchains such as Bitcoin and Ethereum are constantly and continually growing as blocks are being added to the chain which significantly adds to the security of the ledger BlocksEvery chain consists of multiple blocks and each block has three basic elements The data in the block A bit whole number called a nonce The nonce is randomly generated when a block is created which then generates a block header hash The hash is a bit number wedded to the nonce It must start with a huge number of zeroes i e be extremely small When the first block of a chain is created a nonce generates the cryptographic hash The data in the block is considered signed and forever tied to the nonce and hash unless it is mined MinersMiners create new blocks on the chain through a process called mining In a blockchain every block has its own unique nonce and hash but also references the hash of the previous block in the chain so mining a block isn t easy especially on large chains Miners use special software to solve the incredibly complex math problem of finding a nonce that generates an accepted hash Because the nonce is only bits and the hash is there are roughly four billion possible nonce hash combinations that must be mined before the right one is found When that happens miners are said to have found the golden nonce and their block is added to the chain Making a change to any block earlier in the chain requires re mining not just the block with the change but all of the blocks that come after This is why it s extremely difficult to manipulate blockchain technology Think of it as safety in math since finding golden nonces requires an enormous amount of time and computing power When a block is successfully mined the change is accepted by all of the nodes on the network and the miner is rewarded financially NodesOne of the most important concepts in blockchain technology is decentralization No one computer or organization can own the chain Instead it is a distributed ledger via the nodes connected to the chain Nodes can be any kind of electronic device that maintains copies of the blockchain and keeps the network functioning Every node has its own copy of the blockchain and the network must algorithmically approve any newly mined block for the chain to be updated trusted and verified Since blockchains are transparent every action in the ledger can be easily checked and viewed Each participant is given a unique alphanumeric identification number that shows their transactions Combining public information with a system of checks and balances helps the blockchain maintain integrity and creates trust among users Essentially blockchains can be thought of as the scalability of trust via technology	2022-03-19 08:31:49
海外TECH	DEV Community	Readme.md demo	https://dev.to/webfaisalbd/readmemd-demo-ef9	Readme md demo titleDescription let are given below var a if true var b let c Obviously we can access the a variableconsole log a gt JavaScript is a loosely typed language This means that you can use the same variable for different types of information if statemenets	2022-03-19 08:31:15
海外TECH	DEV Community	Blockchain Technology	https://dev.to/zenitsu007thunder/blockchain-technology-2k0k	Blockchain TechnologyA blockchain is a growing list of records called blocks that are linked together using cryptography Each block contains a cryptographic hash of the previous block a timestamp and transaction data generally represented as a Merkle tree The timestamp proves that the transaction data existed when the block was published to get into its hash As blocks each contain information about the block previous to it they form a chain with each additional block reinforcing the ones before it Therefore blockchains are resistant to modification of their data because once recorded the data in any given block cannot be altered retroactively without altering all subsequent blocks A distributed ledger also called a shared ledger or distributed ledger technology or DLT is a consensus of replicated shared and synchronized digital data geographically spread across multiple sites countries or institutions Unlike with a centralized database there is no central administrator Peer to peer PP computing or networking is a distributed application architecture that partitions tasks or workloads between peers Peers are equally privileged equipotent participants in the application They are said to form a peer to peer network of nodes Cryptographer David Chaum first proposed a blockchain like protocol in his dissertation Computer Systems Established Maintained and Trusted by Mutually Suspicious Groups Further work on a cryptographically secured chain of blocks was described in by Stuart Haber and W Scott Stornetta They wanted to implement a system wherein document timestamps could not be tampered with In Haber Stornetta and Dave Bayer incorporated Merkle trees into the design which improved its efficiency by allowing several document certificates to be collected into one block Under their company Surety their document certificate hashes have been published in The New York Times every week since Logically a blockchain can be seen as consisting of several layers infrastructure hardware networking node discovery information propagation and verification consensus proof of work proof of stake data blocks transactions application smart contracts decentralized applications if applicable Blockchain technology can be integrated into multiple areas The primary use of blockchains is as a distributed ledger for cryptocurrencies such as bitcoin there were also a few other operational products that had matured from proof of concept by late As of some businesses have been testing the technology and conducting low level implementation to gauge blockchain s effects on organizational efficiency in their back office Most cryptocurrencies use blockchain technology to record transactions For example the bitcoin network and Ethereum network are both based on blockchain On May Facebook confirmed that it would open a new blockchain group which would be headed by David Marcus who previously was in charge of Messenger Facebook s planned cryptocurrency platform Libra now known as Diem was formally announced on June	2022-03-19 08:22:44
海外TECH	DEV Community	How To Become a Data Analyst	https://dev.to/nikhil12/how-to-become-a-data-analyst-1a86	How To Become a Data AnalystMight it be said that you are expecting to transform into a data specialist It s a surprising calling decision considering the way that the field is impacting The US Bureau of Labor Statistics has projected that data master occupations will create by by putting it among the more rapidly creating adventures in the country Considering such particular and fragile capacities you ll need to secure the best approach to transforming into a data analyst can be absolutely diagrammed On examining to sort out how you can transform into a data agent and set yourself in a decent situation in the field What Is a Data Analyst An information investigator controls and studies information then at that point conveys their discoveries to their association to track down potential open doors and enhancements An information investigator holds the keys to information driven business choices making it a very sought after job The occupation of an information investigator starts with fighting the stores of information that is accessible to the association they work in This information can emerge out of different sources including the organization s site its web based media stages its customer applications and so forthQuite a bit of this information will in general be chaotic and hence not truly usable there Information examiners approach cleaning the information which involves searching for blunders taking out erroneous information and filling in missing information values in view of heuristics It is solely after the cleaning stage that information investigators continue on to really dissecting the information This stage includes utilizing different calculations and factual strategies to uncover experiences that can direct business choices Sometimes information experts could approach the examination to respond to explicit inquiries Exploratory information examination then again is embraced without a particular objective and follows anything that examples could rise up out of starting investigations Information examiners additionally should be talented at picturing and introducing information This is halfway in light of the fact that envisioning information can in some cases lead to new bits of knowledge that weren t clear from different types of investigation Representations are additionally significant when it comes time to introduce investigations and safeguard new recommendations which experts frequently have to do with different partners in their association What Does a Data Analyst Do A data analyst s duties fall into three key areas •Data mining The examiner pulls data from essential and auxiliary sources •Data cleaning The analyst cleans the information of any mistakes or inconsistencies and afterward searches for examples connections or patterns in the information •Data visualization The analyst organizes the data so that it can inform business goals and strategies How Much Can You Make as a Data Analyst Entry level Data AnalystThe average salary for an entry level data analyst in the USA is which comes out to about per hour Mid level Data AnalystMid level data analysts make on average which comes out to about per hour Senior Data AnalystSenior data analysts can command salaries of per year on average The base pay for the role is estimated to be Get Familiar With Data Analytics ToolsInformation examiners utilize an assortment of instruments to direct their work process and improve on their work You ought to learn at least one of the accompanying programming to build your possibilities finding an information examiner work in TableauA powerful and popular tool for data visualizations Google AnalyticsA platform to source and process web traffic data GithubA version control software where you can maintain repositories of your data science programs Amazon Web ServicesThe most popular cloud computing service online which also includes a suite of analytics services JupyterA web based tool used for data analysis and visualizations	2022-03-19 08:17:46
海外TECH	DEV Community	Introduction to EC2 Auto Scaling	https://dev.to/kasukur/introduction-to-ec2-auto-scaling-1mp4	Introduction to EC Auto ScalingPicture source AWS Table of ContentsIntroductionBenefitsVeritcal vs Horizontal ScalingWhat is EC Auto Scaling EC Auto Scaling LifecylceTypes of ScalingWarm PoolScaling Termination PolicyRecommended Further ReadingReferrals IntroductionAWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady predictable performance at the lowest possible cost Using AWS Auto Scaling it s easy to setup application scaling for multiple resources across multiple services in minutes BenefitsSetup Scaling quicklyMake SMART scaling decisionsAutomatically maintain performancePay only for what you need Veritcal vs Horizontal ScalingVeritcal Scaling Upgrading server hardware For example Changing Instance type from t medium vCPU GB Memory to txlarge vCPU GB Memory Use Case A data processing job may require more vCPU and memory in order to complete in a shorter period of time Considerations An Instance restart is required You could only be able to vertically scale to the maximum limit of instance availability For example ma xlarge vCPU Memory Horizontal Scaling Add more instances to the existing instances What is EC Auto Scaling Amazon EC Auto Scaling helps to maintain the number of instances in each Auto Scaling Group For example If we define minimum size of one instance a desired capacity of two instances and a maximum size of four instances The Auto Scaling policies will maintain the number of instances within the minimum and maximum number of instances By default the desired number of instances will always be available which is two in this scenario Picture source AWS EC Auto Scaling LifecylceThe following illustration shows the lifecycle of an Auto Scaling instancePicture source AWS Types of ScalingManual Scaling Change the size of Auto Scaling Group manually by updating the desired capacity Predictive Scaling To increase the number of EC instances in your Auto Scaling group in advance of daily and weekly patterns in traffic flows Scheduled Scaling To set up your own scaling schedule according to predictable load changes For example let s say every week on Wednesday the traffic to the application increases and decreases on Friday Dynamic Scaling Simple Scaling We choose scaling metrics and threshold values for the CloudWatch alarms that invoke the scaling process Step Scaling We specify one or more step adjustments that automatically scale the number of instances dynamically based on the size of the alarm breach Each step adjustment specifies the following A lower bound for the metric valueAn upper bound for the metric valueThe amount by which to scale based on the scaling adjustment type For example Step Add instance if CPU utilization is over Step Add instances if CPU utilization is over and similarly scale in when the CPU utilization reduces Target Tracking We can select a scaling metric and set a target value For example to keep the average aggregate CPU utilization of your Auto Scaling group at percentThe main issue with simple scaling is that after a scaling activity is started the policy must wait for the scaling activity or health check replacement to complete and the cooldown period to expire before responding to additional alarms Cooldown periods help to prevent the initiation of additional scaling activities before the effects of previous activities are visible activities are visible Warm PoolA warm pool is a pool of pre initialized EC instances that sits alongside an Auto Scaling group Whenever your application needs to scale out the Auto Scaling group can draw on the warm pool to meet its new desired capacity This helps you to ensure that instances are ready to quickly start serving application traffic accelerating the response to a scale out event As instances leave the warm pool they count toward the desired capacity of the group This is known as a warm start The warm pool is calculated as the difference between the Auto Scaling group s maximum capacity and its desired capacity The instances in the warm pool in one of three states Stopped Running or Hibernated Keeping instances in a Stopped state is an effective way to minimize costs With stopped instances you pay only for the volumes that you use and the Elastic IP addresses attached to the instances But you don t pay for the stopped instances themselves You pay for the instances only when they are running Alternatively you can keep instances in a Hibernated state to stop instances without deleting their memory contents RAM When an instance is hibernated this signals the operating system to save the contents of your RAM to your Amazon EBS root volume When the instance is started again the root volume is restored to its previous state and the RAM contents are reloaded While the instances are in hibernation you pay only for the EBS volumes including storage for the RAM contents and the Elastic IP addresses attached to the instances Scaling Termination PolicyThe default termination policy is as following however you can change or add termination policies to an ASG Recommended Further ReadingSuspending and resuming a process for an Auto Scaling group ReferralsAmazon EC Auto ScalingCover Image by tomparkes from unsplash	2022-03-19 08:07:47
金融	ニュース - 保険市場TIMES	チューリッヒ、リーズナブルな保険料の火災保険を販売開始	https://www.hokende.com/news/blog/entry/2022/03/19/180000	チューリッヒ、リーズナブルな保険料の火災保険を販売開始月日より販売開始チューリッヒ保険会社以下、チューリッヒは、リーズナブルな保険料を実現した「チューリッヒのネット火災保険」の販売を年月日より開始した。	2022-03-19 18:00:00
海外ニュース	Japan Times latest articles	China reports first two COVID-19 deaths in more than a year	https://www.japantimes.co.jp/news/2022/03/19/asia-pacific/china-first-covid-deaths-year/	country	2022-03-19 17:24:11
海外ニュース	Japan Times latest articles	Severe COVID-19 patients in Japan fall below 1,000 as Tokyo logs 7,444 new cases	https://www.japantimes.co.jp/news/2022/03/19/national/japan-coronavirus-seriously-ill-cases/	covid	2022-03-19 17:18:32
ニュース	BBC News - Home	Chelsea: Multiple bids lodged to buy Premier League club	https://www.bbc.co.uk/sport/football/60800380?at_medium=RSS&at_campaign=KARANGA	Chelsea Multiple bids lodged to buy Premier League clubChicago Cubs owners a consortium featuring Lord Coe and another group led by British property investor Nick Candy all submit offers to buy Chelsea	2022-03-19 08:55:17
北海道	北海道新聞	苫小牧でスルメイカ漁好調　７年ぶり３００トン超え　生息に適した海水温が要因か	https://www.hokkaido-np.co.jp/article/658922/	要因	2022-03-19 17:34:00
北海道	北海道新聞	自動車９社、利益９００億円超減　２２年度、ロシア経済の混乱で	https://www.hokkaido-np.co.jp/article/658938/	自動車メーカー	2022-03-19 17:16:50
北海道	北海道新聞	神４―２オ（１９日）　小川が６回２失点	https://www.hokkaido-np.co.jp/article/658949/	阪神	2022-03-19 17:31:00
北海道	北海道新聞	中国のコロナ強硬措置に邦人困惑　強制隔離、１年２カ月ぶり死者	https://www.hokkaido-np.co.jp/article/658943/	感染拡大	2022-03-19 17:16:50
北海道	北海道新聞	北海道で２人死亡、１５８６人感染　札幌７７３人　新型コロナ	https://www.hokkaido-np.co.jp/article/658929/	新型コロナウイルス	2022-03-19 17:25:50