Amazon Kinesis: Real-time Streaming Big data Processing Applications (BDT311) | AWS re:Invent 2013
Amazon Kinesis: Real-time Streaming Big data Processing Applications (BDT311) | AWS re:Invent 2013 "This presentation will introduce Kinesis, the new AWS service for real-time streaming big data ingestion and processing. We’ll provide an overview of the key scenarios and business use cases suitable for real-time processing, and how Kinesis can help customers shift from a traditional batch-oriented
AWS Solutions Architect ブãƒã‚°
Amazon Kinesisシリーズ(2) Kinesis Client Libraryを使ã£ã¦Kinesis Applicationを作ã£ã¦ã¿ã‚ˆã† パートナーソリューションアーã‚テクトã®æ¦Žä¸¦ã§ã™ã€‚ 今回ã¯ã€å‰å›žã®Blogã§ç´¹ä»‹ã—ãŸAmazon Kinesis概è¦ã®ä¸ã®Kinesis Client Library（以下ã€KCL）ã«ã¤ã„ã¦æŽ˜ã‚Šä¸‹ã’ãŸã„ã¨æ€ã„ã¾ã™ã€‚ KCLã¯ã€Kinesis Applicationを開発ã™ã‚‹ã«è¾ºã‚Šå®¹æ˜“ã«ãƒ‡ãƒ¼ã‚¿å–å¾—ã§ãã€ã‹ã¤ã€è€éšœå®³æ€§ã®é«˜ã„仕組ã¿ã‚’構築ã™ã‚‹ã“ã¨ãŒã§ãるライブラリã§ã™ã€‚Slideshareã®è³‡æ–™ã«ã‚るスライド２４以é™ã«KCLã®æ©Ÿèƒ½ã‚’ã¾ã¨ã‚ã¾ã—ãŸã®ã§ã”覧ãã ã•ã„。 KCLã¯ã€Githubã‹ã‚‰å–å¾—ã§ãã¾ã™ã€‚Amazon Kinesisã®é–‹ç™ºè€…ガイドã«ã‚‚KCLã®å®Ÿè£…方法ãªã©ã«ã¤ã„ã¦è§¦ã‚Œã¦ãŠã‚Šã€æœ¬ãƒ–ãƒã‚°ã¯ãã®æƒ…å ±ã«è£œè¶³ã™ã‚‹ã‚‚ã®ã«ãªã‚Šã¾ã™ã€‚ ã§ã¯ã€Amazon
The Logfile Navigator
Merge, tail, search, filter, and query log files with ease. No server. No setup. Still featureful. In Your Terminal Many logging tools, like Splunk, provide great features but are optimized for large-scale deployments. They require installing and configuring servers before they can be effectively used. There is still a need for a robust log file analyzer for the terminal. Easy to Use Just point ln
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2. ⾃自⼰己紹介 !  åå‰ï¼šâ¼¤å¤§â¾•è°·  晋平 •  ohtani@amazon.co.jp •  @shot6 !  仕事： •  ãŠå®¢æ§˜ã®ã‚¯ãƒ©ã‚¦ãƒ‰æ´»â½¤ç”¨ã‚¢ãƒ¼ã‚テクãƒãƒ£â½€æ”¯æ´ •  エマージングソリューション部 !  担当技術分野 •  ビッグデータã€ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã€åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ 3. ⾃自⼰己紹介 !   åå‰:  榎並  利ï§æ™ƒ  (ãˆãªã¿  ã¨ã—ã‚ã) !   ç¾è·:  Partner  Solution  Architect !   å‰è·:  通信ã‚ャリアã€é›»æ©Ÿãƒ¡ãƒ¼ã‚«ã€ã‚²ãƒ¼ãƒ 会社ã§ã®ã‚·ã‚¹ テム構築・サービスé‹â½¤ç”¨çµŒé¨“ !   3年年間  AWSユーザã¨ã—ã¦ã‚µãƒ¼ãƒ“スé‹â½¤ç”¨ !   好ã㪠 AWS  ã®ã‚µãƒ¼ãƒ“ス  :  Kinesisã€S3 5. AWSãŒæä¾›ã™ã‚‹ ビックデータソリューションã¨Kinesisã®ãƒã‚¸ã‚·ãƒ§ãƒ³ DynamoDB RedshiftRDS EMR æä¾›ä¸ã‚µãƒ¼ãƒ“
Improving compression with a preset DEFLATE dictionary
Improving compression with a preset DEFLATE dictionary2015-03-30 A few years ago Google made a proposal for a new HTTP compression method, called SDCH (SanDwiCH). The idea behind the method is to create a dictionary of long strings that appear throughout many pages of the same domain (or popular search results). The compression is then simply searching for the appearance of the long strings in a d
What are the differences between Apache Kafka and RabbitMQ?
Answer (1 of 12): AMQP is more mature than Kafka, and also RabbitMQ is more mature than Kafka, Also according to their paper from last year, Kafka was designed as a logging system, and that is too specialised. RabbitMQ just deals with messages of any type. It can handle short messages (under 16 b...
AWS Lambdaã®SNS対応ã§ã‚¯ãƒ©ã‚¦ãƒ‰ã¯â€ã‚·ãƒŠãƒ—ス化â€ã™ã‚‹ | DevelopersIO
ã©ã‚‚ã€å¤§ç€§ã§ã™ã€‚ 昨日未明ã«è¡Œã‚ã‚ŒãŸAWS Summit San Franciscoã§Lambdaã®SNS対応ãŒç™ºè¡¨ã•ã‚Œã¾ã—ãŸã€‚ã“ã®æ©Ÿèƒ½ã«ã‚ˆã£ã¦ã€ŒAWSã¯"シナプス化"ã•ã‚ŒãŸæ¬¡ä¸–代ã®ã‚¯ãƒ©ã‚¦ãƒ‰ã‚’æ示ã—ã¦ã„ã‚‹ã€ã®ã§ã¯ã€ã¨ã„ã†ã“ã¨ã‚’æ€ã„ã¤ã„ãŸã®ã§èª¬æ˜Žã—ã¦ã¿ãŸã„ã¨æ€ã„ã¾ã™ã€‚ ã“ã‚Œã¾ã§ã®ã‚¯ãƒ©ã‚¦ãƒ‰ã‚³ãƒ³ãƒ”ューティング クラウドコンピューティングãŒåºƒã使ã‚れるよã†ã«ãªã£ã¦ä¹…ã—ã„ã§ã™ãŒã€ã¾ãšã¯ã“ã‚Œã¾ã§ã®ã‚¯ãƒ©ã‚¦ãƒ‰ã‚³ãƒ³ãƒ”ューティングã«æ±‚ã‚られã¦ã„る機能を挙ã’ã¦ã¿ã¾ã™ã€‚ オンデマンドã®ãƒªã‚½ãƒ¼ã‚¹ APIã«ã‚ˆã‚‹ã‚³ãƒ³ãƒˆãƒãƒ¼ãƒ« 従æ¥ã®ã‚ªãƒ³ãƒ—レミスã®ã‚³ãƒ³ãƒ”ュータシステムã§ã¯ã€ãƒ—ãƒã‚°ãƒ©ãƒ を実行ã™ã‚‹ã‚³ãƒ³ãƒ”ュータリソースã¨ã—ã¦ã‚µãƒ¼ãƒãƒ¼ãƒžã‚·ãƒ³ã‚’ã¯ã˜ã‚ã¨ã™ã‚‹ãƒãƒ¼ãƒ‰ã‚¦ã‚§ã‚¢ã‚’事å‰ã«è³¼å…¥ã€æ‰€æœ‰ã—ãªãŒã‚‰ãれらを利用ã™ã‚‹å½¢æ…‹ãŒä¸€èˆ¬çš„ã§ã—ãŸã€‚クラウドã§ã¯ã€ã‚¯ãƒ©ã‚¦ãƒ‰ãƒ™ãƒ³ãƒ€ãƒ¼ã¨å‘¼ã°ã‚Œã‚‹ãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼äº‹æ¥è€…ãŒæ‰€æœ‰ã™ã‚‹ã‚³ãƒ³ãƒ”ュータリソースをオンラインサ
HotSpotコトãƒã‚¸ãƒ¡
- The document discusses optimizing Java performance on hardware by leveraging features like AES-NI, transparent huge pages, and compiler intrinsics. - It provides examples showing performance improvements from using these features, such as faster encryption times when enabling AES-NI and fewer TLB misses with transparent huge pages. - It also discusses Java VM options, garbage collection, and the
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