AWS |
AWS Partner Network (APN) Blog |
Tape Ark Unlocks Dark Data on AWS with Tape-to-Cloud Migration |
https://aws.amazon.com/blogs/apn/tape-ark-unlocks-dark-data-on-aws-with-tape-to-cloud-migration/
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Tape Ark Unlocks Dark Data on AWS with Tape to Cloud MigrationOil and gas operators face significant challenges accessing the subsurface data they have created and saved on tape media Being able to perform tape migration at scale is highly complex and resource intensive but it s essential for oil and gas companies that want to understand their collection so they can unlock the true value of their data Tape Ark is powered by AWS and uniquely capable of undertaking mass migrations at large scale |
2021-02-08 18:39:44 |
AWS |
AWS |
beNX: Architecture Changes to Handle Massive Peak Traffic |
https://www.youtube.com/watch?v=cIqVilu7KUM
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beNX Architecture Changes to Handle Massive Peak TrafficLearn how beNX a tech subsidiary of Big Hit Entertainment handles massive traffic spikes from global fans with a highly scalable architecture on AWS BeNX dives deep into its event driven auto scaling IaaC and Spot instance architecture to handle x traffic spikes within minutes from M global users from countries in a cost effective way Especially beNX introduces their open source deployment tool Goployer AWS Development tool what it is and how it works and why people use it In addition learn how beNX will use EKS on Fargate as a next step Subscribe More AWS videos More AWS events videos AWS |
2021-02-08 18:06:42 |
js |
JavaScriptタグが付けられた新着投稿 - Qiita |
JavaScript_1(自分用) |
https://qiita.com/pokurin123/items/3e77ce236772168344d1
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JavaScript自分用項目nodejs基本的なやつ全般真偽値明日も書くnodejsnodejsとはサーバサイドでJavaScriptを動かせるものとの事だが、簡単にいうとpythonとかみたいに自他問わずpc等で動かせる環境というやつ。 |
2021-02-09 03:17:39 |
Program |
[全てのタグ]の新着質問一覧|teratail(テラテイル) |
wordpressのarchive.phpで作成した記事一覧画面のカテゴリボタンを押しても、カテゴリ別の記事一覧ページへ飛ばない問題を解決したい。 |
https://teratail.com/questions/321355?rss=all
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archivephpで投稿記事一覧ページを作成したのですが、記事のカテゴリリンクをクリックしても、カテゴリ別の投稿記事一覧へ進まない問題を解決したいです。 |
2021-02-09 03:54:22 |
Program |
[全てのタグ]の新着質問一覧|teratail(テラテイル) |
Auto MLのインポート時のエラー |
https://teratail.com/questions/321354?rss=all
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AutoMLのインポート時のエラーimportnbsphofromnbsphoautomlnbspimportnbspHOAutoMLhoinitと入力すると下記のようなエラーが出てしまいます。 |
2021-02-09 03:36:32 |
Program |
[全てのタグ]の新着質問一覧|teratail(テラテイル) |
gitのmergeについての質問 |
https://teratail.com/questions/321353?rss=all
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gitのmergeについての質問現在ポートフォリオを作成中で疑問に思ったことがあったので質問させていただきます。 |
2021-02-09 03:32:36 |
Program |
[全てのタグ]の新着質問一覧|teratail(テラテイル) |
(rails)gem mysql2がなぜ必要なのか |
https://teratail.com/questions/321352?rss=all
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railsgemmysqlがなぜ必要なのか基本的にrailsでmysqlを使いたい時はmysqlなるgemを使うのが当たり前に近いくらい、railsユーザに使われているgemだと思います。 |
2021-02-09 03:28:55 |
AWS |
AWSタグが付けられた新着投稿 - Qiita |
awsでCentos6をインストール方法 |
https://qiita.com/shinsakujazzbass/items/eb36e1d54831f6cea910
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awsにアカウントでログインECでトップの検索入力エリアにcentosと入力しAWSmarketplaceサイトより下記手順で選択しインストールする。 |
2021-02-09 03:17:15 |
海外TECH |
Ars Technica |
Raspberry Pi OS added a Microsoft repo. No, it’s not an evil secret |
https://arstechnica.com/?p=1740528
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install |
2021-02-08 18:42:55 |
海外TECH |
Ars Technica |
Terraria developer cancels Google Stadia port after YouTube account ban |
https://arstechnica.com/?p=1740488
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doing |
2021-02-08 18:24:37 |
海外TECH |
Ars Technica |
Oldest DNA from poop contains a Neanderthal’s microbiome |
https://arstechnica.com/?p=1740427
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recent |
2021-02-08 18:09:12 |
Apple |
AppleInsider - Frontpage News |
'Safe Tech Act' could strip Section 230 protections for harmful content |
https://appleinsider.com/articles/21/02/08/safe-tech-act-could-strip-section-230-protections-for-harmful-content
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x Safe Tech Act x could strip Section protections for harmful contentA trio of Democratic Senators have unveiled a new bill dubbed the Safe Tech Act that would fundamentally change Section and could make internet companies with any monetization at all liable for user generated content Credit WikiCommonsThe proposed legislation introduced by senators Mark Warner Mazie Hirono and Amy Klobuchar makes several key changes to Section of the Communications Decency Act which currently shields internet companies from liability for user posted content Read more |
2021-02-08 18:57:21 |
海外科学 |
NYT > Science |
In the Oceans, the Volume Is Rising as Never Before |
https://www.nytimes.com/2021/02/04/science/ocean-marine-noise-pollution.html
|
undersea |
2021-02-08 18:09:13 |
海外科学 |
NYT > Science |
A Few Covid Vaccine Recipients Have Developed a Rare Blood Disorder |
https://www.nytimes.com/2021/02/08/health/immune-thrombocytopenia-covid-vaccine-blood.html
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blood |
2021-02-08 18:45:15 |
海外ニュース |
Japan Times latest articles |
Mass rallies heap pressure on Myanmar’s coup leaders |
https://www.japantimes.co.jp/news/2021/02/08/asia-pacific/myanmar-military-protests/
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cities |
2021-02-09 04:01:59 |
海外ニュース |
Japan Times latest articles |
Three MSDF crew feared hurt as sub collides with ship off Kochi |
https://www.japantimes.co.jp/news/2021/02/08/national/japan-submarine-accident-kochi/
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Three MSDF crew feared hurt as sub collides with ship off KochiThe government s top spokesman said the commercial vessel had not felt any contact with the submarine and did not not see any damage to its |
2021-02-09 03:24:23 |
海外ニュース |
Japan Times latest articles |
Biden says decision on Tokyo Olympics must be ‘based on science’ |
https://www.japantimes.co.jp/news/2021/02/08/national/joe-biden-tokyo-olympics-science/
|
olympics |
2021-02-09 03:18:35 |
ニュース |
BBC News - Home |
Covid: Boris Johnson 'very confident' in vaccines being used in UK |
https://www.bbc.co.uk/news/uk-55983453
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african |
2021-02-08 18:45:51 |
ニュース |
BBC News - Home |
Covid: Over-70s can contact NHS for vaccine in England |
https://www.bbc.co.uk/news/health-55980053
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england |
2021-02-08 18:08:33 |
ニュース |
BBC News - Home |
Covid-19: UK vaccines, over-70s jab appeal, and school catch-up |
https://www.bbc.co.uk/news/uk-55986756
|
coronavirus |
2021-02-08 18:54:18 |
ニュース |
BBC News - Home |
Manchester Arena Inquiry: Policing issues 'identified before attack' |
https://www.bbc.co.uk/news/uk-england-manchester-55981337
|
hears |
2021-02-08 18:11:17 |
ニュース |
BBC News - Home |
Australian Open: Toilet break being refused leaves Shapovalov fuming |
https://www.bbc.co.uk/sport/av/tennis/55988859
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Australian Open Toilet break being refused leaves Shapovalov fumingDenis Shapovalov is furious with the umpire for denying his bathroom break request during a marathon five set match against Jannik Sinner in the Australian Open |
2021-02-08 18:07:44 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
首都圏「中学受験」、異例尽くしの2021年を総括 - 中学受験への道 |
https://diamond.jp/articles/-/262192
|
中学受験 |
2021-02-09 03:50:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
アマゾンの屋台骨は小売り、クラウドは遠く及ばず - WSJ PickUp |
https://diamond.jp/articles/-/262224
|
wsjpickup |
2021-02-09 03:45:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
農業はもうからない?安定志向から一転、起業の道に進んだ理由/秋元里奈・ビビッドガーデン社長 - イノベーターの育ち方 |
https://diamond.jp/articles/-/261833
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農業はもうからない安定志向から一転、起業の道に進んだ理由秋元里奈・ビビッドガーデン社長イノベーターの育ち方自らの力で社会を変えたいーそんな情熱や使命感を抱いて挑戦する若きリーダーたちは、どのように育ってきたのか。 |
2021-02-09 03:40:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
セレブ取締役が増加、米企業の狙いとは - WSJ PickUp |
https://diamond.jp/articles/-/262225
|
wsjpickup |
2021-02-09 03:35:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
コロナ後の需要、急増するのは外食・娯楽・旅行 - WSJ PickUp |
https://diamond.jp/articles/-/262226
|
wsjpickup |
2021-02-09 03:30:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
コロナ禍の「外国人技能実習生」の実態、フィリピン人実習生の悲しみと喜び - Oriijin(オリイジン) |
https://diamond.jp/articles/-/261102
|
コロナ禍の「外国人技能実習生」の実態、フィリピン人実習生の悲しみと喜びOriijinオリイジンコロナ禍は、日本で暮らし働く外国人在留外国人にも大きな影響を与えている。 |
2021-02-09 03:25:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
発達障害の僕が発見した「服は、毎日全身ユニクロ」が実は正しい選択である理由 - 発達障害サバイバルガイド |
https://diamond.jp/articles/-/262203
|
|
2021-02-09 03:20:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
「自分の頭で考えられる子」の親がしている4大習慣 - 子育てベスト100 |
https://diamond.jp/articles/-/261227
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資料 |
2021-02-09 03:15:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
仕事ができない人は「相手を不安にする文章」を書いてしまう - 独学大全 |
https://diamond.jp/articles/-/255018
|
読書 |
2021-02-09 03:10:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
キャッシュフロー計算書は、 3つに分けると 簡単に理解できる - たった10日で決算書がプロ並みに読めるようになる!会計の教室 |
https://diamond.jp/articles/-/262158
|
資金 |
2021-02-09 03:05:00 |
GCP |
Cloud Blog |
Improved troubleshooting with Cloud Spanner introspection capabilities |
https://cloud.google.com/blog/products/databases/seeing-into-the-performance-of-cloud-native-database-spanner/
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Improved troubleshooting with Cloud Spanner introspection capabilitiesExcellent developer experience is one of the most important focus areas for Cloud Spanner Google s fully managed horizontally scalable relational database service Whether you are a database specialist or a developer it is important to have tools that help you understand the performance of your database detect if something goes wrong and fix the problems So Spanner has been continuously adding new introspection capabilities that allow you to easily monitor database performance diagnose and fix potential issues and optimize the overall efficiency of your application We ve recently launched a number of introspection tools in the form of built in tables that you can query to gain helpful insights about operations in Spanner such as queries reads and transactions These new introspection tables when combined with existing alerting and monitoring capabilities provide a powerful combination of tools that help you to diagnose and troubleshoot issues Let s take a closer look at these new introspection tools We will start with the basics on how you can leverage the introspection and monitoring capabilities in Spanner to get the best out of your data driven applications How do you monitor resource utilization CPU and storage are key resources that you need to monitor in Spanner to make sure that your instance is provisioned with enough nodes to give you the expected performance Spanner already has integration with the Google Cloud Monitoring suite where you can set alerts for CPU and storage utilization metrics based on recommended thresholds You will be automatically alerted when the value of the metrics cross the threshold You can visit the monitoring tab in the Spanner console to look at the metrics in detail and analyze how those change over time Here s an example Let s say you received an alert for CPU utilization and found a spike in the monitoring graph as shown below You can further slice and dice the data by visiting the Cloud Monitoring console and selecting the time periods You can also filter by options such as instance database and priority of operations for detailed analysis and to decide where to focus for further investigation You can even correlate different metrics from the metrics list to identify reasons for the spike and decide on possible remedies For example if an increase in API requests correlates with an increase in CPU utilization you can infer that the workload on Spanner is causing an increase in CPU utilization and you need to provision more nodes to bring CPU utilization back within recommended limits If CPU utilization has spiked without an increase in requests then inefficient SQL queries or reads could be consuming higher CPU How do you know which SQL queries or reads you should investigate We have built introspection tables to help you with that Visit the “New Introspection Tools section in this blog below or the documentation to learn more How do you monitor performance You may have specific performance requirements for your application such as throughput expectation or latency expectation For example let s say you want the th percentile latency for write operations to be less than ms and have configured alerts if the latency metric raises above that threshold Once you are alerted that write latency has exceeded the threshold you can investigate this incident via the Spanner console by reviewing the latency graph For example in the image above you can see that th percentile latency for write operations had spiked at around AM Using the Cloud Monitoring console you can determine which API methods contributed to latency spikes Let s say you find out that Commit APIs were responsible for the latency spike As a next step you want to know which transactions involve expensive commits What were the reasons for increase in commit latency To help you with that troubleshooting we have built new introspection tools that provide detailed information and statistics regarding top queries reads transactions and transaction locks These tools consist of a set of built in tables that you can query to gain more insight Refer to this table to decide when to use each tool Now let s take a closer look at what each tool offers Exploring new Spanner introspection toolsDiving deep into SQL queriesQuery statistics When you want to identify and investigate the expensive queries and their performance impact use theQuery statistics table This table helps you answer questions such as Which are the most CPU consuming queries What is the average latency per query What were the number of rows scanned and data bytes returned by the query Here is an example of the result from the table where you can easily identify the fingerprint of the top two queries that consumed the most CPU and had highest latency Use these fingerprints to retrieve actual query texts from the table As a next step you can use the query explanation feature in the Spanner console to analyze query execution plans and optimize the queries Spanner recently enhanced query statistics further by adding additional insights to cancelled failed queries so that customers can troubleshoot different kinds of queries not just completed queries Oldest active queries While the query statistics table helps you analyze past queries oldest active queries table helps you identify the queries that are causing latency and high CPU usage issues as they are happening This table helps you answer questions such as How many queries are running at the moment Which are the long running queries Which session is running the query These answers will help you to identify the troublesome queries and resolve the issue quickly rather than boiling the ocean For example Once you identify the slowest query that is impacting the application performance you can take steps such as deleting the session for an immediate resolution Diving deep into read operationsRead statistics When you want to troubleshoot issues caused by read traffic use the Read statistics table This table helps you answer questions such as Which are the most CPU consuming read operations What is the average CPU consumption per read What was the amount of different wait times associated with these reads As a next step you can optimize these read operations or take a decision on the suitable read operation strong vs stale reads for your use case Diving deep into read write transactionsTransaction statistics When you want to troubleshoot issues caused by transactions use the Transaction statistics table to get greater visibility into factors that are driving the performance of your read write transactions This table helps you answer questions such as Which are the slow running transactions What is the commit latency and overall latency for transactions How many times did the transaction attempt to commit Which columns were written or read by the transaction By analyzing this information you can discover potential bottlenecks such as large volumes of updates to a particular column slowing down the transaction One of the frequent causes of transaction performance issues is lock conflict If you see an increase in commit latency or overall latency for any transaction use the lock statistics table to identify if transaction locks are causing issues Lock statistics Once you identify the transactions that are affecting the performance use the lock statistics table to correlate transaction performance characteristics with lock conflicts This table helps you answer questions such as Which rows and columns are the sources of higher lock conflicts Which kinds of lock conflicts are occurring What is the wait time due to lock conflict When you combine these crucial insights regarding sources of lock conflicts in the database with the transaction statistics table you can identify the troublesome transactions As a next step apply the recommended best practices to optimize the transactions and improve the performance Client side metrics and Google Front End metrics monitoringSo far we discussed how to use introspection metrics and tools at the Spanner layer But for end to end monitoring it is important to monitor the application layer client side and the network layer Google Front End too since sometimes the issues could be in those layers Spanner already has integration with OpenCensus to help you monitor client side metrics and gRPC metrics Spanner also provides Google Front End related metrics to help you determine if latency issues are due to the network layer When you combine client side metrics and Google Front End metrics with Spanner layer metrics you can perform end to end monitoring and find out the source of the issue to proceed with further troubleshooting We hope these updates to Spanner introspection capabilities make developing on Spanner even more productive Check out our Spanner YouTube playlist for more about Spanner Learn moreTo get started with Spanner create an instanceor try it out with a Spanner Qwiklab Read the following blogs to learn more about how you can use the introspection tools for troubleshooting Cloud Spanner Read StatisticsIncrease visibility into Cloud Spanner performance with transaction statsLock Statistics Diagnose performance issues in Cloud SpannerAnalyze running queries in Cloud SpannerUse GFE Server Timing Header in Cloud Spanner DebuggingTroubleshooting Cloud Spanner Applications with OpenCensusRelated ArticleDatabase observability for developers introducing Cloud SQL InsightsNew Insights tool helps developers quickly understand and resolve database performance issues on Cloud SQL Read Article |
2021-02-08 18:30:00 |
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