Serverless Architecture and Best Practices
by Brent Rabowsky, Solutions Architect & Itzik Paz, Solutions Architect, AWS As serverless architectures become more popular, customers need a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems. This session describes re-usable serverless patterns while considering costs. For each pattern, we provide operati
how-netflix-monitors-applications-in-near-realtime-w-amazonkinesis-abd401-reinvent-2017
How Netflix Monitors Applications in Near Real-time w Amazon Kinesis - ABD401 - re:Invent 2017 Thousands of services work in concert to deliver millions of hours of video streams to Netflix customers every day. These applications vary in size, function, and technology, but they all make use of the Netflix network to communicate. Understanding the interactions between these services is a daunting c
CloudWatch Logsã‚’Kinesis Stream経由ã§Lambdaã‹ã‚‰Logentriesã«è»¢é€ã™ã‚‹ - Qiita
背景 サーãƒãƒ¼ãƒ¬ã‚¹ã‚¢ãƒ¼ã‚テクãƒãƒ£ã«é™ã‚‰ãšå°ã•ãªãƒãƒƒãƒã‚„サービスç‰ã§ AWS Lambda を使ã†å ´é¢ã¯å¢—ãˆã¦ãã¦ã„ã¾ã™ãŒã€ãƒã‚°ã®å‡ºåŠ›ã¨ç®¡ç†ã«ã¤ã„ã¦ã¯å¤§å¤‰ã§ã™ã€‚ãƒã‚°ã¯ãƒžãƒãƒ¼ã‚¸ãƒ¡ãƒ³ãƒˆã‚µãƒ¼ãƒ“スã«ä»»ã›ã¦ã—ã¾ã†ã¨æ¥½ã§ã™ãŒã€ãã®ã‚µãƒ¼ãƒ“スã«ã©ã®ã‚ˆã†ã«é€ã‚‹ã¹ãã‹ã¯ãƒã‚°ã®é‡ã«ã‚ˆã£ã¦è€ƒæ…®ãŒå¿…è¦ã§ã™ã€‚ 基本的㫠Lambda ã®ãƒã‚°ã¯ CloudWatch Logs ã«å‡ºåŠ›ã•ã‚Œã¾ã™ã€‚CloudWatch Logs ã‹ã‚‰ç›´æŽ¥åˆ¥ã® Lambda ã«ã‚¹ãƒˆãƒªãƒ¼ãƒŸãƒ³ã‚°ã™ã‚‹ã“ã¨ã‚‚ã§ãã¾ã™ã€‚ã“ã®å¾Œè¿°ã® Lambda ã‹ã‚‰ãƒã‚°ãƒžãƒãƒ¼ã‚¸ãƒ¡ãƒ³ãƒˆã‚µãƒ¼ãƒ“スã«è»¢é€ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ã—ã‹ã—ã“ã®æ–¹æ³•ã¯ã‚ãƒƒã‚¯é »åº¦ãŒé«˜ã„ãŸã‚ã€Lambda ã®åŒæ™‚実行数ãŒè·³ã上ãŒã£ã¦ã—ã¾ã„ã¾ã™ã€‚ãã“㧠CloudWatch Logs ã‹ã‚‰ Kinesis ã«ã‚¹ãƒˆãƒªãƒ¼ãƒŸãƒ³ã‚°ã—ã¦ã€ã•ã‚‰ã« Lambda ã‚’å©ãã“ã¨ã‚’考ãˆã¾ã—ãŸã€‚Kinesis Stream 経由ã§ã¯
ステップ 1: é€ä¿¡å…ˆã‚’作æˆã™ã‚‹ - Amazon CloudWatch Logs
aws kinesis create-stream --stream-name "RecipientStream" --shard-count 1 ストリームãŒã‚¢ã‚¯ãƒ†ã‚£ãƒ–ã«ãªã‚‹ã¾ã§å¾…ã¡ã¾ã™ã€‚aws kinesis describe-stream コマンドを使用ã—ã¦ã€StreamDescription.StreamStatus プãƒãƒ‘ティをãƒã‚§ãƒƒã‚¯ã§ãã¾ã™ã€‚ã•ã‚‰ã«ã€StreamDescription.StreamARN ã®å€¤ã¯ã€å¾Œã§ CloudWatch Logs ã«æ¸¡ã™ã®ã§æ›¸ãç•™ã‚ã¦ãŠã„ã¦ãã ã•ã„。 aws kinesis describe-stream --stream-name "RecipientStream" { "StreamDescription": { "StreamStatus": "ACTIVE", "StreamName": "RecipientStream", "St
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KINESUSHI 2016(ä»®) Kinesis Streamã€Firehoseã€Analyticsã§ã‚µãƒ¼ãƒãƒ¬ã‚¹
Introduction to Amazon Kinesis Analytics
Amazon Kinesis Analytics is the easiest way to process streaming data in real time with standard SQL without having to learn new programming languages or processing frameworks. Amazon Kinesis analytics enables you to create and run SQL queries on streaming data so that you can gain actionable insights and respond to your business and customer needs promptly. In this session, we will provide an ove
Fluentd&Kinesis&Lambdaã«ã‚ˆã‚‹æŸ”軟ã§é«˜å¯ç”¨æ€§ãªãƒã‚°åŽé›†åŸºç›¤ã®æ§‹ç¯‰ - Qiita
æ¦‚è¦ Fluentdã«ã‚ˆã‚‹ãƒã‚°åŽé›†åŸºç›¤ã‚’ã€Lambda&Kinesisを利用ã—ãŸå½¢ã§æ§‹æˆã‚’変更ã—ãŸã®ã§ã€ãã®æ™‚ã®ãƒ¡ãƒ¢ã€‚ å…ˆã«ä¸€è¨€ã§æ„Ÿæƒ³ã‚’è¿°ã¹ã‚‹ã®ã§ã‚ã‚Œã°ã€å··ã®å™‚通りã€Kinesis&Lambdaã¯ç´ 敵ã§ã—ãŸã€‚ Fluentd AggregatorãŒæŠ±ãˆã‚‹å•é¡Œç‚¹ ãƒã‚°ãƒ‡ãƒ¼ã‚¿ã‚’Fluentdã®Forwarder & Aggregatorを経由ã—ã€S3ã¨Redshiftã«ä¿å˜ã™ã‚‹ã‚ˆã†ãªæ§‹æˆã§ã—ãŸãŒã€Aggregatorã¯å†—長化ã—ã¥ã‚‰ãボトルãƒãƒƒã‚¯ã¨ãªã£ã¦ã„ã¾ã—ãŸã€‚ ãƒã‚°åŽé›†ã«æ±‚ã‚ã‚‹è¦ä»¶ ãƒã‚°åŽé›†ã®æ§‹æˆã‚’改善ã™ã‚‹ã«ã‚ãŸã‚Šã€å…ˆã«æŒ™ã’ãŸç›®ã®å‰ã®å•é¡Œç‚¹ã‚’解決ã™ã‚‹ã®ã¯å‹¿è«–ã§ã™ãŒã€ä»–ã«ã‚‚様々ãªè¦ä»¶ãŒã‚ã‚Šã€å¤§åˆ¥ã™ã‚‹ã¨ä»¥ä¸‹4ã¤ã€‚ ä¿¡é ¼æ€§: データをãƒã‚¹ãªãåŽé›†ã™ã‚‹ã“ã¨ãŒã§ãる。 安定性: ãƒã‚°é‡ã«é–¢ä¿‚ãªã安定的ãªãƒ‘フォーマンスをç¶æŒã§ãる。 冗長性: 安全ã‹ã¤ç°¡å˜ã«ã‚¹ã‚±ãƒ¼ãƒªãƒ³ã‚°ãŒå¯èƒ½ 汎用性: 複数ãƒã‚°ã‚’複数サ
ã€æ–°æ©Ÿèƒ½ã€‘Kinesis AnalyticsãŒåˆ©ç”¨å¯èƒ½ã«ãªã‚Šã¾ã—ãŸï¼ ｜ DevelopersIO
ウィスã‚ーã€ã‚·ã‚¬ãƒ¼ã€ãƒ‘イプをã“よãªãæ„›ã™ã‚‹å¤§æ —ã§ã™ã€‚ 8/10〜11ã«é–‹å‚¬ã—ã¦ã„ãŸã®AWS Summit New York 2016ã®Keynoteã®ä¸ã§ã€Kinesis AnalyticsãŒåˆ©ç”¨å¯èƒ½ã«ãªã£ãŸã¨ã„ã†ç™ºè¡¨ãŒã‚ã‚Šã¾ã—ãŸã®ã§è©¦ã—ã¦ã¿ã¾ã—ãŸã€‚ Kinesis Analytics Kinesis Analyticsã¯re:Invent 2015ã§ç™ºè¡¨ã•ã‚ŒãŸã‚¹ãƒˆãƒªãƒ¼ãƒ データ処ç†ã‚µãƒ¼ãƒ“スã§ã™ã€‚当時ã¯æ¥å¹´ã«ä½¿ç”¨å¯èƒ½ã«ãªã‚‹ã¨ã®ç™ºè¡¨ã®ã¿ã§è©³ç´°ãŒä¸æ˜Žã§ã—ãŸãŒã€ã‚ˆã†ã‚„ã利用å¯èƒ½ã«ãªã‚Šã¾ã—ãŸã€‚ Kinesis Analyticsã¯ã‚¹ãƒˆãƒªãƒ¼ãƒ データã«å¯¾ã—ã¦SQLã§å‡¦ç†ã‚’è¡Œã†æ©Ÿèƒ½ã§ã™ã€‚Kinesis Stream ＋ Lambdaã§ã‚‚ストリーム処ç†ã¯å¯èƒ½ã§ã™ãŒã€åŸºæœ¬çš„ã«ã¯1レコードå˜ä½ã‹ï¼‘回ã«å–り出ã—ãŸãƒ‡ãƒ¼ã‚¿ã—ã‹ã¾ã¨ã‚ã¦å‡¦ç†ãŒã§ãã¾ã›ã‚“ã§ã—ãŸã€‚Kinesis Analyticsã§ã¯ã€ãƒ‡ãƒ¼ã‚¿ã®å¤‰æ›ã‚’è¡Œã£ãŸ
[新機能]Kinesis StreamsãŒã‚·ãƒ£ãƒ¼ãƒ‰å˜ä½ã®ãƒ¡ãƒˆãƒªã‚¯ã‚¹ã«å¯¾å¿œã—ã¾ã—㟠| DevelopersIO
2016/04/19ã®ã‚¢ãƒƒãƒ—デートã«ã‚ˆã‚Šã€Kinesisストリームã¯ã‚·ãƒ£ãƒ¼ãƒ‰å˜ä½ã®ãƒ¡ãƒˆãƒªã‚¯ã‚¹(shard level metrics)ã«å¯¾å¿œã—ã¾ã—ãŸã€‚ Amazon Kinesis アップデート – Amazon Elasticsearch Service ã¨ã®çµ±åˆã€ã‚·ãƒ£ãƒ¼ãƒ‰å˜ä½ã®ãƒ¡ãƒˆãƒªã‚¯ã‚¹ã€æ™‚刻ベースã®ã‚¤ãƒ†ãƒ¬ãƒ¼ã‚¿ãƒ¼ | Amazon Web Services ブãƒã‚° 従æ¥ã¯ã‚¹ãƒˆãƒªãƒ¼ãƒ å˜ä½ã®ãƒ¡ãƒˆãƒªã‚¯ã‚¹ã«ã—ã‹å¯¾å¿œã—ã¦ã„ã¾ã›ã‚“ã§ã—ãŸãŒã€ä»Šå›žã®æ©Ÿèƒ½è¿½åŠ ã«ã‚ˆã‚Š シャード間ã®ãƒ¬ã‚³ãƒ¼ãƒ‰ã®åã‚Š データ処ç†ã®æ¢ã¾ã£ã¦ã„るシャード データ処ç†é…延ã®ç™ºç”Ÿã—ã¦ã„るシャード ãªã©ã‚’ç°¡å˜ã«æ¤œå‡ºã§ãるよã†ã«ãªã‚Šã¾ã—ãŸã€‚ æ©Ÿèƒ½æ¦‚è¦ ã‚·ãƒ£ãƒ¼ãƒ‰å˜ä½ãƒ¡ãƒˆãƒªã‚¯ã‚¹ã‚’有効ã«ã™ã‚‹ã«ã¯? シャードå˜ä½ã®ãƒ¡ãƒˆãƒªã‚¯ã‚¹ã¯ RDS ã«ã‚‚ã‚ã‚‹Enhanced Monitoring(拡張モニタリング)ã®å½¢ã§æä¾›ã•ã‚Œã€æ¨™æº–ã§ã¯ç„¡åŠ¹åŒ–ã•ã‚Œã¦ã„ã¾ã™ã€‚ã¾
[新機能]Kinesis StreamsãŒæ™‚刻ベースã®ã‚¤ãƒ†ãƒ¬ãƒ¼ã‚¿ãƒ¼ã«å¯¾å¿œã—ã¾ã—㟠| DevelopersIO
ユースケース Lambda関数ã®ãƒã‚°ãªã©ã«ã‚ˆã‚Šã€Kinesis Stream ã§ãƒãƒƒãƒ•ã‚¡ãƒªãƒ³ã‚°ã•ã‚ŒãŸãƒ¬ã‚³ãƒ¼ãƒ‰ã‚’途ä¸ã‹ã‚‰ã‚„ã‚Šç›´ã•ãªã‘ã‚Œã°ã„ã‘ãªã„時ã€ã“ã‚Œã¾ã§ã¯å†é–‹é–‹å§‹ã™ã‚‹ã‚·ãƒ¼ã‚±ãƒ³ã‚¹ç•ªå·ã‚’ãŒã‚“ã°ã£ã¦æŽ¢ã—当ã¦ã¦ã„ã¾ã—ãŸãŒã€ä»Šå¾Œã¯ä¸å…·åˆç™ºç”Ÿæ—¥æ™‚ãŒã‚ã‹ã£ã¦ã„ã‚Œã°ã€ãã®æ—¥æ™‚を指定ã™ã‚‹ã ã‘ã§æ¸ˆã¿ã¾ã™ã€‚ 機能ã®ä½¿ã„æ–¹ Kinesis Streamã®è¨å®šå¤‰æ›´ã¯ä¸è¦ã§ã™ã€‚ GetShardIterator API 呼ã³å‡ºã—時㫠ShardIteratorType ã« AT_TIMESTAMP Timestamp ã«åŸºç‚¹ã¨ãªã‚‹ãƒ¦ãƒ‹ãƒƒã‚¯ã‚¹ã‚¿ã‚¤ãƒ を指定ã™ã‚‹ã ã‘ã§ã™ã€‚ 従æ¥ã® ShardIteratorType ã¯Typeã ã‘を指定ã™ã‚Œã°æ¸ˆã¿ã¾ã—ãŸãŒã€ShardIteratorType 引数㫠AT_TIMESTAMP を指定ã—ãŸå ´åˆã¯ã€Timestamp 引数ã§èµ·ç‚¹ã¨ãªã‚‹ã‚¿ã‚¤ãƒ スタンプã®æŒ‡å®šã‚‚å¿…è¦ã§ã™ã€‚ 以下ã§ã¯
Amazon Kinesis エージェントã®æ›´æ–°æƒ…å ± – æ–°ã—ã„データ事å‰å‡¦ç†æ©Ÿèƒ½ | Amazon Web Services
Amazon Web Services ブãƒã‚° Amazon Kinesis エージェントã®æ›´æ–°æƒ…å ± – æ–°ã—ã„データ事å‰å‡¦ç†æ©Ÿèƒ½ Amazon Kinesis エージェント用ã®æ–°ã—ã„データ事å‰å‡¦ç†æ©Ÿèƒ½ã«ã¤ã„ã¦åŒåƒšã® Ray Zhu ãŒèª¬æ˜Žã—ãŸã‚²ã‚¹ãƒˆæŠ•ç¨¿ã‚’以下ã«æŽ²è¼‰ã—ã¾ã™ã€‚ – Jeff Amazon Kinesis エージェントã¯ã€Amazon Kinesis Streams ã‚„ Amazon Kinesis Firehose ã«ãƒ‡ãƒ¼ã‚¿ã‚’ä¿¡é ¼æ€§ã®é«˜ã„方法ã§ç°¡å˜ã«é€ä¿¡ã§ãるよã†ã«ã™ã‚‹ã€ã‚¹ã‚¿ãƒ³ãƒ‰ã‚¢ãƒãƒ³ã® Java ソフトウェアアプリケーションã§ã™ã€‚エージェントã¯ãƒ•ã‚¡ã‚¤ãƒ«ã‚»ãƒƒãƒˆã‚’監視ã—ã¦æ–°ã—ã„データを検出ã—ã€Kinesis Streams ã¾ãŸã¯ Kinesis Firehose ã«é€£ç¶šçš„ã«é€ä¿¡ã—ã¾ã™ã€‚ファイルã®ãƒãƒ¼ãƒ†ãƒ¼ã‚·ãƒ§ãƒ³ã€ãƒã‚§ãƒƒã‚¯ãƒã‚¤ãƒ³ãƒˆå‡¦ç†ã€ãŠã‚ˆã³å¤±æ•—時ã®å†è©¦è¡Œã‚‚処ç†ã—ã¾ã™ã€‚ã¾ãŸã€Am
Amazon Kinesis Update – Amazon Elasticsearch Service Integration, Shard-Level Metrics, Time-Based Iterators | Amazon Web Services
AWS News Blog Amazon Kinesis Update – Amazon Elasticsearch Service Integration, Shard-Level Metrics, Time-Based Iterators September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Amazon Kinesis makes streaming data easy in the cloud.The Amazon Kinesis platform is comprised of three distinct services: Kinesis Streams allows developers to build thei
GitHub - mhart/kinesalite: An implementation of Amazon's Kinesis built on LevelDB
$ kinesalite --help Usage: kinesalite [--port <port>] [--path <path>] [--ssl] [options] A Kinesis http server, optionally backed by LevelDB Options: --help Display this help message and exit --port <port> The port to listen on (default: 4567) --path <path> The path to use for the LevelDB store (in-memory by default) --ssl Enable SSL for the web server (default: false) --createStreamMs <ms> Amount
AWS News Blog
Stop the CNAME chain struggle: Simplified management with Route 53 Resolver DNS Firewall Updated 2 May 2024: I removed the reference to Route53 Alias that was incorrectly referred as a chain Starting today, you can configure your DNS Firewall to automatically trust all domains in a resolution chain (such as aCNAMEor DNAMEchain). Let’s walk through this in nontechnical terms for those unfamiliar wi
SORACOM Beamã§Amazon Kinesisã®TLS処ç†ã‚’オフãƒãƒ¼ãƒ‰ã™ã‚‹ #soracom | DevelopersIO
ã©ã‚‚ã€å¤§ç€§ã§ã™ã€‚ 長らãステルスモードã ã£ãŸIoTプラットフォームã®ã‚¹ã‚¿ãƒ¼ãƒˆã‚¢ãƒƒãƒ—ã€SORACOM, INCã®ã‚µãƒ¼ãƒ“スãŒç™ºè¡¨ã•ã‚Œã¾ã—ãŸã€‚ 早速試ã—ã¦ã¿ãŸãƒ¬ãƒãƒ¼ãƒˆã‚’2本ã¨å¿œç”¨ç·¨ã¨ã—ã¦SORACOM Beamã®è¨å®šä¾‹ã‚’2本ã€åŒæ™‚公開ã—ã¾ã™ï¼ æ–°IoTプラットフォームSORACOMを試ã—ã¦ã¿ãŸ 3GPi on Raspberry Pi 2 + SORACOM Air SIMã§ã‚¤ãƒ³ã‚¿ãƒ¼ãƒãƒƒãƒˆã«æŽ¥ç¶šã™ã‚‹ SORACOM Beamã§Fluent Bitã‹ã‚‰ã‚»ã‚ュアã«ã‚»ãƒ³ã‚µãƒ¼ãƒ‡ãƒ¼ã‚¿ã‚’転é€ã™ã‚‹ SORACOM Beamã§Amazon Kinesisã®TLS処ç†ã‚’オフãƒãƒ¼ãƒ‰ã™ã‚‹ã€æœ¬è¨˜äº‹ã€‘ 本エントリーã§ã¯ã€AWSã®ã‚¹ãƒˆãƒªãƒ¼ãƒŸãƒ³ã‚°ãƒ‡ãƒ¼ã‚¿å‡¦ç†ã‚µãƒ¼ãƒ“スAmazon Kinesisã¸ã®HTTPS通信ã®TLSæš—å·åŒ–ã‚’Beamã«ã‚ªãƒ•ãƒãƒ¼ãƒ‰ã™ã‚‹æ§‹æˆã‚’紹介ã—ã¾ã™ã€‚ 構æˆã®æ¦‚è¦ å›³ã«ç¤ºã™ã¨ä»¥ä¸‹ã®ã‚ˆã†ã«ãªã‚Šã¾ã™ã€‚ 通常ã®Kin
Amazon Kinesisã®ãƒ¬ã‚³ãƒ¼ãƒ‰ã«ã‚¿ã‚¤ãƒ スタンプ属性ãŒè¿½åŠ ã•ã‚Œã¾ã—㟠| DevelopersIO
ã©ã‚‚ã€å¤§ç€§ã§ã™ã€‚ 昨日ã€Amazon Kinesisã®ã‚¢ãƒƒãƒ—デートãŒã‚りレコードã«ã‚¿ã‚¤ãƒ スタンプ属性ãŒè¿½åŠ ã•ã‚Œã¾ã—ãŸã€‚ Amazon Kinesis Server-side Timestamp レコードã®ApproximateArrivalTimestamp属性ã«KinesisãŒãƒ¬ã‚³ãƒ¼ãƒ‰ã‚’å—ä¿¡ã—ãŸãŠãŠã‚ˆãã®æ™‚刻ãŒUNIXタイムスタンプã®å½¢å¼ã§å«ã¾ã‚Œã¾ã™ã€‚AWS CLIã§GetRecordsをコールã—ã¦ã¿ã¾ã—ãŸã€‚ $ aws kinesis get-shard-iterator --stream-name OtakiTest --shard-id shardId-000000000000 --shard-iterator-type TRIM_HORIZON XXXXXXXXXX $ aws kinesis get-records --shard-iterator XXXXXXXXXX { "
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Apache Spark’s Structured Streaming with Amazon Kinesis on Databricks
Announcement: ELB stickiness updates to support Feb 2020 Chromium CORs changes
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