How to use the new Amazon DynamoDB key diagnostics library to visualize and understand your application’s traffic patterns | AWS Database Blog
AWS Database Blog How to use the new Amazon DynamoDB key diagnostics library to visualize and understand your application’s traffic patterns Update (December 14, 2020): The DynamoDB team recommends that you use Amazon CloudWatch Contributor Insights for Amazon DynamoDB, which is a diagnostic tool for understanding your traffic patterns and identifying frequently accessed keys. You can enable Cloud
Test Your Streaming Data Solution with the New Amazon Kinesis Data Generator | Amazon Web Services
AWS Big Data Blog Test Your Streaming Data Solution with the New Amazon Kinesis Data Generator October 2024: This post was reviewed and updated for accuracy. When building a streaming data solution, most customers want to test it with data that is similar to their production data. Creating this data and streaming it to your solution can often be the most tedious task in testing the solution. Amazo
Encrypt and Decrypt Amazon Kinesis Records Using AWS KMS | Amazon Web Services
AWS Big Data Blog Encrypt and Decrypt Amazon Kinesis Records Using AWS KMS Customers with strict compliance or data security requirements often require data to be encrypted at all times, including at rest or in transit within the AWS cloud. This post shows you how to build a real-time streaming application using Kinesis in which your records are encrypted while at rest or in transit. Amazon Kinesi
Guaranteeing Order with Kinesis Bulk Puts — brandur.org
Playing with Kinesis recently, we came across a problem of how to guarantee order when posting a set of records to its bulk API. This article summarizes it and talks about how although we never directly solved the problem that we thought we had, we were able to use a slightly altered approach to have the system meet some of the characteristics that we wanted to see. The basic primitive to send a r
Clojureã¨Kinesisã®ç›¸æ€§ãŒè‰¯ã•ãã†ã¨ã„ã†è©± - Qiita
__Clojureを使ã†ã¨é¢å€’ãªKCLアプリケーションãŒç°¡å˜ã«ã‹ã‘ã¾ã™ã‚ˆ__ã¨ã„ã£ãŸã‚ˆã†ãªè©±ã‚’ã—ã¾ã™ã€‚ 1. Clojureã¨AWS 実ã¯AWSã«ãã“ã¾ã§è©³ã—ã„ã‚ã‘ã§ã¯ãªã„ã®ã§ã™ãŒã€AWSã®ã‚¢ãƒ—リケーションã¯å¤§ä½“Javaã‹ã‚‰ä½¿ç”¨ã•ã‚Œã‚‹ã“ã¨ãŒæƒ³å®šã•ã‚Œã¦ã„るよã†ãªæ°—ãŒã—ã¾ã™ã€‚ ã‚‚ã¡ã‚ã‚“ã€å„言語å‘ã‘ã®SDKã‚‚ã‚ã‚Šã¾ã™ã—ã€ä¸ã®äººãŸã¡ã‚‚好ãã«JSやらRubyやら使ã£ã¦ã„るよã†ã§ã™ãŒã€ã©ã†ã«ã‚‚Javaã®SDKを使ã£ãŸã»ã†ãŒè‰²ã€…ã¨ã‚µãƒãƒ¼ãƒˆãŒæ‰‹åŽšã„よã†ãªå°è±¡ã‚’ã€Kinesisを試ã—ãŸã¨ãã«å—ã‘ã¾ã—ãŸã€‚ ã—ã‹ã—ã§ãã‚Œã°Javaã¯æ›¸ããŸããªã„ã‚‚ã®ã§ã™ã€‚ ã‚‚ã£ã¨ã„ã†ãªã‚‰Eclipseã‚‚èµ·å‹•ã—ãŸãã‚ã‚Šã¾ã›ã‚“。EmacsãŒä½¿ã„ãŸã„。 ãã†æ€ã„ã€ã©ã†ã—ãŸã‚‚ã‚“ã‹ãªã‚ã¨æ‚©ã‚“ã§ã„ãŸã®ã§ã™ãŒã€ãã‚“ãªã¨ãã«ã†ã£ã¦ã¤ã‘ã®è¨€èªžãŒã‚ã‚‹ã“ã¨ã‚’æ€ã„出ã—ã¾ã—ãŸã€‚ ãã†ã§ã™ã€‚Clojureã§ã™ã€‚ Clojureã¯JVMã§å‹•ãã®ã§ã€Javaã®
Rubyã‹ã‚‰Amazon Kinesisã‚’æ“作ã™ã‚‹ - Tech-Sketch
昨年11月ã€ç±³ãƒ©ã‚¹ãƒ™ã‚¬ã‚¹ã§é–‹å‚¬ã•ã‚ŒãŸã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ã€ŒAWS re:Invent 2013ã€ã§ã€ã‚¹ãƒˆãƒªãƒ¼ãƒŸãƒ³ã‚°ãƒ‡ãƒ¼ã‚¿ã‚’リアルタイムã«å‡¦ç†ã™ã‚‹ã‚µãƒ¼ãƒ“スã§ã‚る「Amazon Kinesisã€ãŒç™ºè¡¨ã•ã‚Œã¾ã—ãŸã€‚ストリーミングデータをリアルタイムã«å‡¦ç†...ã¨ã€ãªã«ã‚„ら難ã—ãã†ãªæ„Ÿã˜ãŒã—ã¾ã™ãŒã€APIã€SDKãŒå…¬é–‹ã•ã‚Œã¦ã„ã‚‹ã®ã§ç°¡å˜ã«è©¦ã™ã“ã¨ãŒã§ãã¾ã™ã€‚今回ã¯Rubyå‘ã‘AWS SDKを利用ã—ã€Amazon Kinesisã‚’æ“作ã—ã¦ã¿ã¾ã™ã€‚ Amazon Kinesisã¨ã¯ Amazon Kinesisã¯ã€Amazon Web ServicesãŒæä¾›ã™ã‚‹ã‚¹ãƒˆãƒªãƒ¼ãƒŸãƒ³ã‚°ãƒ‡ãƒ¼ã‚¿ã‚’リアルタイムã«å‡¦ç†ã™ã‚‹ç‚ºã®ã‚µãƒ¼ãƒ“スã§ã™ã€‚近年ビッグデータã®å‡¦ç†ã‚„分æžãŒæ³¨ç›®ã•ã‚Œã¦ãã¾ã—ãŸãŒã€ãƒãƒƒãƒå‡¦ç†ãŒä¸»æµã§ã—ãŸã€‚Amazon Kinesisを利用ã™ã‚‹ã¨ã€ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ã«ã‚¹ãƒˆãƒªãƒ¼ãƒŸãƒ³ã‚°ãƒ‡ãƒ¼ã‚¿ã®å‡¦ç†ã‚„分æžãŒå¯èƒ½ã§ã™ã€‚ã¾ãŸã€Ama
Raspberry Piã‹ã‚‰Amazon Kinesisã¸ãƒ‡ãƒ¼ã‚¿ã‚’上ã’ã‚‹ - Qiita
$ git clone git://git.drogon.net/wiringPi $ cd wiringPi/ $ ./build $ watch -n1 gpio readall +-----+-----+---------+------+---+--B Plus--+---+------+---------+-----+-----+ | BCM | wPi | Name | Mode | V | Physical | V | Mode | Name | wPi | BCM | +-----+-----+---------+------+---+----++----+---+------+---------+-----+-----+ | | | 3.3v | | | 1 || 2 | | | 5v | | | | 2 | 8 | SDA.1 | IN | 1 | 3 || 4 | |
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Amazon Kinesis Firehose can now prepare and transform streaming data before loading it to data stores
Process Large DynamoDB Streams Using Multiple Amazon Kinesis Client Library (KCL) Workers | Amazon Web Services
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Clojure and Kinesis at scale - Joseph Wilk
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