How Netflix Tunes EC2 Instances for Performance
CMP325 talk for AWS re:Invent 2017, by Brendan Gregg. " At Netflix we make the best use of AWS EC2 instance types and features to create a high performance cloud, achieving near bare metal speed for our workloads. This session will summarize the configuration, tuning, and activities for delivering the fastest possible EC2 instances, and will help other EC2 users improve performance, reduce latency
Launch Templates for Amazon EC2 instances ã®ç´¹ä»‹
Launch Templates ã¯ã€ã“ã‚Œã¾ã§ã«ãªã„方法ã§èµ·å‹•ãƒªã‚¯ã‚¨ã‚¹ãƒˆã‚’テンプレート化ã™ã‚‹æ–°ã—ã„機能ã§ã™ã€‚Launch Templates ã«ã‚ˆã‚Šã€Auto Scalingã€ã‚¹ãƒãƒƒãƒˆãƒ•ãƒªãƒ¼ãƒˆã€ã‚¹ãƒãƒƒãƒˆã€ãŠã‚ˆã³ã‚ªãƒ³ãƒ‡ãƒžãƒ³ãƒ‰ã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã®èµ·å‹•ãƒ—ãƒã‚»ã‚¹ãŒåŠ¹çŽ‡çš„ã‹ã¤ã‚·ãƒ³ãƒ—ルã«ãªã‚Šã¾ã™ã€‚ Launch Templates ã«ã‚ˆã£ã¦ 1 ã¤ã®ãƒªã‚½ãƒ¼ã‚¹å†…ã®ã™ã¹ã¦ã®èµ·å‹•ãƒ‘ラメータãŒå–å¾—ã•ã‚Œã‚‹ãŸã‚ã€ã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã®ä½œæˆã«å¿…è¦ãªã‚¹ãƒ†ãƒƒãƒ—ã®æ•°ãŒæ¸›ã‚Šã¾ã™ã€‚ã“ã‚Œã«ã‚ˆã‚Šã€èµ·å‹•ãƒ—ãƒã‚»ã‚¹ã‚’å†ç¾ã—ã‚„ã™ããªã‚Šã¾ã™ã€‚ã¾ãŸã€Launch Templates ã§ã¯ã€Auto Scalingã€ã‚¹ãƒãƒƒãƒˆãƒ•ãƒªãƒ¼ãƒˆã€ã‚¹ãƒãƒƒãƒˆã€ãŠã‚ˆã³ã‚ªãƒ³ãƒ‡ãƒžãƒ³ãƒ‰ã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ãŒã‚µãƒãƒ¼ãƒˆã•ã‚Œã¦ã„ã‚‹ãŸã‚ã€æ¨™æº–ã¨ãƒ™ã‚¹ãƒˆãƒ—ラクティスã®å®Ÿè£…ãŒã‚ˆã‚Šç°¡å˜ã«ãªã‚Šã€ã‚³ã‚¹ãƒˆã®ç®¡ç†ã€ã‚»ã‚ュリティã«å¯¾ã™ã‚‹å§¿å‹¢ã®æ”¹å–„ã€ãƒ‡ãƒ—ãƒã‚¤ã‚¨ãƒ©ãƒ¼ã®ãƒªã‚¹ã‚¯ã®æœ€å°åŒ–ã«å½¹ç«‹ã¡ã¾ã™ã€‚
Node Exporter æ§‹ç¯‰æ‰‹é † + Prometheus ã‹ã‚‰AWSオートスケール監視 - 長生æ‘本郷Engineers'Blog
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Scout2
Description Scout2 is an open source tool that helps assessing the security posture of AWS environments. Using the AWS API, the Scout2 Python scripts fetch CloudTrail, EC2, IAM, RDS, and S3, configuration data. The gathered configuration is analyzed and stored as JSON objects in several JavaScript files. These files are imported in the Scout2 HTML report, which allows for a quick and efficient rev
ã€æ–°æ©Ÿèƒ½ã€‘EC2 Cloudwatchã®æ–°æ©Ÿèƒ½ã€ŒAuto Recoveryã€ã‚’使ã£ã¦ã¿ãŸ | DevelopersIO
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CloudWatchã¨Lambdaã«ã‚ˆã‚‹EC2ã®å¤œé–“åœæ¢ - Qiita
åˆã‚ã« AWSã®ã‚¢ãƒ‰ãƒ™ãƒ³ãƒˆã‚«ãƒ¬ãƒ³ãƒ€ãƒ¼ã‚‚ã£ã¨ç››ã‚Šä¸ŠãŒã‚Œï¼ã‚‚ã†æ™‚代é…ã‚Œã‹ï¼ï¼Ÿ ã¨å¿µã˜ã¦ãŠã‚Šã¾ã™ã€‚ ã•ã¦ã•ã¦ã€å‰å›žã¯WEBアプリケーションã®ç’°å¢ƒã‚’構築ã—ã¾ã—ãŸãŒ 今回ã¯EC2ã®å¤œé–“åœæ¢ã‚’CloudWatchã¨Lambdaを利用ã—ã¦å®Ÿè£…ã—ã¦ã„ããŸã„ã¨æ€ã„ã¾ã™ã€‚ 夜間åœæ¢ã®æµã‚Œã¯Lambdaã§èµ·å‹•ç”¨ã®é–¢æ•°ã¨åœæ¢ç”¨ã®é–¢æ•°ã‚’作æˆã— CloudWatchを利用ã—ã¦æœã«èµ·å‹•ç”¨ã®é–¢æ•°ã‚’ã€å¤œã«åœæ¢ç”¨ã®é–¢æ•°ã‚’実行ã™ã‚‹ã“ã¨ã§å®Ÿç¾ã•ã›ã¾ã™ã€‚ 第1部　「AWSã‚’é¿ã‘ã¦ã„ãŸPGãŒALBã¨EC2を利用ã—ã¦WEBアプリケーション環境を構築ã—ã¦ã¿ãŸã€ 第2部　「Lambdaã¨Cloud Watchã«ã‚ˆã‚‹EC2ã®å¤œé–“åœæ¢ã€â†ä»Šã“㓠第3部　「ALBã«ã‚ˆã‚‹ãƒ‘スルーティング〠å‰ç½®ã Lambdaã®Scheduleイベントã§EC2を自動起動＆自動åœæ¢ã—ã¦ã¿ãŸ#reinventを基本的ã«å‚考ã«ã—ã¦æ§‹ç¯‰ã‚’ã—ã¦ãŠã‚Šã¾ã™ã€‚ 解釈や説明ã®èª¤ã‚Š
The PMCs of EC2: Measuring IPC
What's so special about these seven architectural PMCs? They give you a good overview of key CPU behavior, sure. But Intel have also chosen them as a golden set, to be highlighted first in the PMC manual and their presence exposed via the CPUID instruction. Note that the Intel mnemonic for LLC here is "longest latency cache", but this is also known as "last level cache" or "level 3 cache" (assumin
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より大ããªã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã‚µã‚¤ã‚ºã€æ–°ã—ã„ Intel Broadwell プãƒã‚»ãƒƒã‚µã€å‘上ã—ãŸãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚ングãŠã‚ˆã³ EBS パフォーマンスã€ãŠã‚ˆã³ã€R3 インスタンスã¨æ¯”較ã—㦠GiB 当ãŸã‚Šã§ã‚ˆã‚Šå®‰ä¾¡ã«ãªã£ãŸ RAM を特徴ã¨ã™ã‚‹ã€æ¬¡ä¸–代㮠Amazon EC2 メモリ最é©åŒ–インスタンスã§ã‚ã‚‹ R4 インスタンスを起動ã§ãるよã†ã«ãªã‚Šã¾ã—ãŸã€‚R4 インスタンスã¯ã€ãƒ“ジãƒã‚¹ã‚¤ãƒ³ãƒ†ãƒªã‚¸ã‚§ãƒ³ã‚¹ (BI)ã€ãƒ‡ãƒ¼ã‚¿ãƒžã‚¤ãƒ‹ãƒ³ã‚°ã‚„分æžã€ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã€Web スケールã®åˆ†æ•£ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªã‚ャッシングã€æ§‹é€ 化ã•ã‚Œã¦ã„ãªã„ビッグデータã®ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ 処ç†ã‚’実行ã™ã‚‹ã‚¢ãƒ—リケーションãªã©ã€ãƒ¡ãƒ¢ãƒªã‚’大é‡ã«æ¶ˆè²»ã—ã€ãƒ¬ã‚¤ãƒ†ãƒ³ã‚·ãƒ¼ã®å½±éŸ¿ã‚’å—ã‘ã‚„ã™ã„ワークãƒãƒ¼ãƒ‰ã«æœ€é©ã§ã™ã€‚ R4 インスタンスã¯ã€æœ€å¤§ 64 個㮠vCPU 㨠488 GiB ã® DDR4 メモリをæä¾›ã—ã€ãƒ‡ãƒ¥ã‚¢ãƒ«ã‚½ã‚±ãƒƒãƒˆ Intel® Xeon® E
MySQLを１〜２時間ã§ã‚¹ã‚±ãƒ¼ãƒ«ã‚¢ã‚¦ãƒˆã™ã‚‹ - クックパッド開発者ブãƒã‚°
最近ã€Elastic Beanstalkã‚„ECSã¨æˆ¦ã£ã¦ã„ã‚‹SREãƒãƒ¼ãƒ ã®è…原ã§ã™ã€‚ P5ã‚’ã‚„ã‚ŠãŸã„ã®ã«PS3ã‚‚PS4ã‚‚æŒã£ã¦ã„ãªã„ã®ã§æŒ‡ã‚’ãã‚ãˆã¦ç¾¨ã¾ã—ãŒã£ã¦ã„る毎日ã§ã™ã€‚ ã“ã®è¨˜äº‹ã§ã¯ã€çªç„¶ã®ã‚¢ã‚¯ã‚»ã‚¹å¢—ã«å‚™ãˆã‚‹ãŸã‚ã«ã€MySQLã®ã‚¹ãƒ¬ãƒ¼ãƒ–を１〜２時間ã§ã‚¹ã‚±ãƒ¼ãƒ«ã‚¢ã‚¦ãƒˆã§ãるよã†ã«ã—ãŸè©±ã‚’書ãã¾ã™ã€‚ MySQL on EC2 クックパッドã¯å‘¨çŸ¥ã®é€šã‚ŠAWSを利用ã—ã¦ã„ã¾ã™ãŒã€ä¸»è¦ãªãƒ‡ãƒ¼ã‚¿ãƒ¼ãƒ™ãƒ¼ã‚¹ã«ã¤ã„ã¦ã¯Amazon RDSã§ã¯ãªãMySQL on EC2を使ã£ã¦ã„ã¾ã™ã€‚ ã“ã‚Œã¯ä»¥ä¸‹ã®ã‚ˆã†ãªç†ç”±ã«ã‚ˆã‚‹ã‚‚ã®ã§ã™ã€‚ æ´å²çš„ãªçµŒç·¯: AWS移行当時ã€RDSãŒç„¡ã‹ã£ãŸã€‚ã¾ãŸã€ç§»è¡Œå¾Œã‚‚ã—ã°ã‚‰ãã¯Tritonnを使ã£ã¦ã„ãŸãŸã‚ã€RDSを使ã†ã“ã¨ãŒã§ããªã‹ã£ãŸ オンラインメンテナンスã®å®Ÿç¾: VPCルートテーブルを使ã£ãŸä»®æƒ³IPã¨MHA for MySQLを使ã£ã¦ãƒ€ã‚¦ãƒ³ã‚¿ã‚¤ãƒ ゼãƒã®ãƒžã‚¹ã‚¿DBã®åˆ‡ã‚Šæ›¿ãˆã‚’
JAWS目黒 EC2ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°Tips #jawsmeguro #jawsug
2. 2 Who am I ? • åå‰ â€“ æ¾å°¾åº·åš ( @understeer ) • 所属 – ã‚¢ãƒžã‚¾ãƒ³ãƒ‡ãƒ¼ã‚¿ã‚µãƒ¼ãƒ“ã‚¹ã‚¸ãƒ£ãƒ‘ãƒ³æ ªå¼ä¼šç¤¾ – ソリューションアーã‚テクト – ビッグデータã€è£½é€ æ¥HPCã®ãŠå®¢æ§˜ã‚’担当 • çµŒæ´ â€“ ä¹å·žå¤§å¦ã§ã‚¹ãƒ‘コンã®åŠ¹çŽ‡åŒ–ç ”ç©¶ – SIer㧠分散ã‚ューã®é–‹ç™ºãƒ»å°Žå…¥ã€åˆ†æ•£å‡¦ç†ç ”究 – Web系スタートアップCTO – SIerã§ä»®æƒ³åŒ–基盤ã®ç ”究・導入・é‹ç”¨ – ç¾è· 4. 4 TL;DR ã ã„ãŸã„ã¯ã“ã“èªã‚ã°OK • (PFC306) Performance Tuning Amazon EC2 Instances | AWS re:Invent 2014 – http://www.slideshare.net/AmazonWebServices/pfc3 06-performance-tuning-amazon-ec2-instances-aws- r
Performance Tuning EC2 Instances
Talk for AWS re:Invent 2014. Video: https://www.youtube.com/watch?v=7Cyd22kOqWc . Netflix tunes Amazon EC2 instances for maximum performance. In this session, you learn how Netflix configures the fastest possible EC2 instances, while reducing latency outliers. This session explores the various Xen modes (e.g., HVM, PV, etc.) and how they are optimized for different workloads. Hear how Netflix choo
Creating an EC2 instance with Fabric/Boto - Martha Kelly
Creating an EC2 Instance With Fabric/Boto Aug 9th, 2012 Lately i’ve been learning about networking/HTTP/various inner workings of the internet, so I’ve been working with AWS. I would like to share a script with you that I wrote to spin up EC2 instances. What is EC2? Amazon Elastic Compute Cloud is a branch of AWS (Amazon Web Services) that allows you to rent virtual computers “in the cloud.†For o
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æ¦‚è¦ æ—¢å˜ã®ã‚¤ãƒ³ãƒ•ãƒ©ã‚’利用ã—ãªã„ã§ã€ã€ŒAmazon Web Servicesã€ï¼ˆä»¥å¾ŒAWS）ã®ã¿ã‚’利用ã—æ–°è¦ã§ã‚µãƒ¼ãƒ“ス展開を行ã†å ´åˆã«å¿…è¦ãªæƒ…å ±ã€çŸ¥è˜ã‚’ã¾ã¨ã‚る。 æ³¨æ„ åŸºæœ¬çš„ãªåˆ©ç”¨æ–¹æ³•ã‚’除外ã—ã€å®Ÿéš›ã®æ§‹ç¯‰æ™‚ã«å¿…è¦ãªãƒˆãƒ”ックスã«ç„¦ç‚¹ã‚’ã‚ã¦æœ¬ãƒ‰ã‚ュメントを作æˆã—ã¾ã—ãŸã€‚ 特ã«ã‚ªãƒ¼ãƒ—ンã«å…¬é–‹ã•ã‚Œã¦ã„ã‚‹æƒ…å ±ã«ã¤ã„ã¦ã¯å‰²æ„›ï¼ˆWebåŠã³æ›¸ç±ã§å¤šæ•°å…¬é–‹ã•ã‚Œã¦ã„ã‚‹æƒ…å ±ï¼‰ã—ã¦ã„ã¾ã™ã€‚ 補足 本ドã‚ュメントã¯ã€2012/08時点ã§ã®AWSã§æä¾›ã•ã‚Œã¦ã„るサービスを元ã«è¨˜è¿°ã•ã‚Œã¦ã„ã¾ã™ã€‚AWSã¯æ—¥ã€…新機能ãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã¦ã„ã¾ã™ã®ã§ã€åˆ©ç”¨ã™ã‚‹éš›ã¯æœ€æ–°ã®æƒ…å ±ã‚’å–å¾—ã—ã¦ãã ã•ã„。 目次 æ¦‚è¦ æ³¨æ„ è£œè¶³ 目次 åºè«– クラウドã®ãƒ¡ãƒªãƒƒãƒˆ クラウドã®ãƒ‡ãƒ¡ãƒªãƒƒãƒˆ AWSã®è£½å“ãƒ»ã‚µãƒ¼ãƒ“ã‚¹æ§‹æˆ å†…å®¹ ã‚¢ã‚«ã‚¦ãƒ³ãƒˆç®¡ç† Consolidated Billing(一括決済) 使用例 作æˆæ‰‹é † 補足 AWS Support 補足 A
ã»ã¼é€±åˆŠAWSマイスターシリーズ | 資料集
ã»ã¼é€±åˆŠAWSマイスターシリーズ資料集 無料オンラインセミナー「ã»ã¼é€±åˆŠAWSマイスターシリーズã€ã§ã¯ã€æ¯Žé€±ãƒ†ãƒ¼ãƒžã‚’決ã‚ã¦å„サービスã®è©³ç´°æƒ…å ±ã‚’ã‚¨ãƒãƒ³ã‚¸ã‚§ãƒªã‚¹ãƒˆã‚„ソリューションアーã‚テクトãŒè§£èª¬ã—ã¦ãŠã‚Šã¾ã™ã€‚éŽåŽ»ã®è³‡æ–™ã¯ã“ã¡ã‚‰ã‹ã‚‰ã”å‚ç…§ãã ã•ã„。 [2011/9/20開催] Amazon EC2 & EBS [2011/9/28開催] Amazon S3 [2011/10/5開催] Amazon CloudFront & Route53 [2011/10/19開催] AWS Identity and Access Management (IAM) & Consolidated Billing [2011/10/26開催] Elastic Load Balancing(ELB), Auto Scaling & CloudWatch [2011/11/1開催] AWS CloudFormati
Ganglia without multicast
I'm running Ganglia 3.1.2 on a network where there is no multicast (nor can I turn it on). Does anyone have an elegant solution for getting ganglia to work correctly? I found this: http://code.google.com/p/ganglia-multicast-hack/ but it does not scale very well. Right now, I have separate data_source lines for each host on my network in my gmetad.conf file, but that too does not scale well, and I
RDS詳細 -ã»ã¼é€±åˆŠAWSマイスターシリーズ第8回-
1. AWSマイスターシリーズ AWS マイスターシリーズ ～ Amazon RDS～ RDS ～ 2011å¹´11月16æ—¥ 大谷 晋平（ @shot6） ソリューションアーã‚テクト 2. ã»ã¼é€±åˆŠAWSマイスターシリーズã¸ã‚ˆã†ã“ãï¼ ~GoToMeetingã®ä½¿ã„方～ å‚åŠ è€…ã¯ã€è‡ªå‹•çš„ã«ãƒŸãƒ¥ãƒ¼ãƒˆã«ãªã£ã¦ã„ã¾ã™ 質å•ã‚’投ã’ã‚‹ã“ã¨ãŒã§ãã¾ã™ï¼ GoToMeetingã®ãƒãƒ£ãƒƒãƒˆã®ä»•çµ„ã¿ã‚’使ã£ã¦ã€éšæ™‚書ã込んã§ãã ã•ã„ ãŸã ã—環境ã«ã‚ˆã£ã¦ã¯ã€æ—¥æœ¬èªžã®ç›´æŽ¥å…¥åŠ›ãŒã§ããªã„ã®ã§ã€ ãŠæ‰‹æ•°ã§ã™ãŒã€ãƒ†ã‚ストエディタç‰ã«æ‰“ã¡è¾¼ã‚“ã§ã‹ã‚‰ã€ 貼り付ã‘ã¦ã¦ãã ã•ã„ 最後ã®ï¼±ï¼†ï¼¡ã®æ™‚é–“ã§ã€ã§ãã‚‹ã ã‘回ç”ã•ã›ã¦é ‚ãã¾ã™ 書ã込んã 質å•ã¯ã€ä¸»å‚¬è€…ã«ã—ã‹è¦‹ãˆã¾ã›ã‚“ Twitterã®ãƒãƒƒã‚·ãƒ¥ã‚¿ã‚°ã¯#jawsugã§ã©ã†ãž Copyright © 2011 Amazon Web Services 3. セミナー Webセミナー
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