S3ã«ä¿å˜ã—ãŸãƒã‚°ãƒ•ã‚¡ã‚¤ãƒ«ã‚’ストリーム処ç†ã™ã‚‹ã‚µãƒ¼ãƒãƒ¼ãƒ¬ã‚¹ã‚¢ãƒ—リケーションã®ç´¹ä»‹ - クックパッド開発者ブãƒã‚°
インフラストラクãƒãƒ£ãƒ¼éƒ¨ã‚»ã‚ュリティグループã®æ°´è°·(@m_mizutani)ã§ã™ã€‚ クックパッドã§ã¯ç¾åœ¨ã‚»ã‚ュリティ監視ã®é«˜åº¦åŒ–ã«å–り組んã§ãŠã‚Šã€ãã®ä¸€ç’°ã¨ã—ã¦ã‚»ã‚ュリティ関連ã®ãƒã‚°åŽé›†ãŠã‚ˆã³ãã®åˆ†æžã«åŠ›ã‚’入れã¦ã„ã¾ã™ã€‚ãƒã‚°åŽé›†ã®éƒ¨åˆ†ã§ã¯å¯ç”¨æ€§ãªã©ã®è¦³ç‚¹ã‹ã‚‰AWSã®ã‚ªãƒ–ジェクトストレージサービスã§ã‚ã‚‹S3ã«ä¸€éƒ¨ã®ã‚µãƒ¼ãƒ“スやサーãƒã®ãƒã‚°ã‚’ã¾ãšä¿å˜ã—ã€å¾Œã‹ã‚‰ä¿å˜ã•ã‚ŒãŸãƒ•ã‚¡ã‚¤ãƒ«ã‚’èªã¿è¾¼ã‚“ã§åˆ†æžãªã©ã«åˆ©ç”¨ã—ã¦ã„ã¾ã™ã€‚分æžã®ãŸã‚ã«S3ã«ä¿å˜ã—ãŸãƒ•ã‚¡ã‚¤ãƒ«ã‚’å‰å‡¦ç†ã™ã‚‹æ–¹æ³•ã¨ã—ã¦AWS Glueãªã©ã‚’用ã„ãŸãƒãƒƒãƒå‡¦ç†ãŒã‚ã‚Šã¾ã™ãŒã€åˆ°ç€ã—ãŸãƒã‚°ã‚’ãªã‚‹ã¹ãストリームデータã®ã‚ˆã†ã«æ‰±ã„ãŸã„å ´åˆã‚‚ã‚ã‚Šã¾ã™ã€‚特ã«ã‚»ã‚ュリティ関連ã®ãƒã‚°ã§ã¯ä»¥ä¸‹ã®ã‚ˆã†ãªãƒ¦ãƒ¼ã‚¹ã‚±ãƒ¼ã‚¹ã§åˆ©ç”¨ã—ã¦ã„ã¾ã™ã€‚ アラートã®æ¤œå‡º: ãƒã‚°ã‚’検査ã—ã¦ãã®ä¸ã‹ã‚‰å±é™ºåº¦ã®é«˜ã„ã¨è€ƒãˆã‚‰ã‚Œã‚‹ãƒã‚°ã‚’探ã—出ã—ã€ã‚¢ãƒ©ãƒ¼ãƒˆã¨ã—ã¦ç™ºå ±ã—ã¾ã™ã€‚アラートã®å…·ä½“çš„ãªä¾‹ã¨ã—ã¦ã¯
PipelineDB—The Streaming SQL Database
Mencari slot gacor hari ini? Anda berada di tempat yang tepat! Dalam dunia perjudian online, istilah "gacor" sering digunakan untuk menggambarkan slot yang sedang "panas" atau memiliki peluang tinggi untuk memberikan kemenangan besar kepada pemain. Dalam artikel panjang ini, kita akan membahas segala sesuatu tentang slot gacor: cara menemukannya, strategi untuk bermain, dan tentu saja, rekomendasi
Streams: a new general purpose data structure in Redis. - <antirez>
antirez 2952 days ago. 370914 views. Until a few months ago, for me streams were no more than an interesting and relatively straightforward concept in the context of messaging. After Kafka popularized the concept, I mostly investigated their usefulness in the case of Disque, a message queue that is now headed to be translated into a Redis 4.2 module. Later I decided that Disque was all about AP me
Introducing KSQL: Streaming SQL for Apache Kafka | Confluent
Wherever you are in your data streaming journey, you'll find the explainer videos and tutorials you need to advance your skills here.
Streaming Systems
Navigating This BookTakeawaysConventions Used in This BookOnline ResourcesFiguresCode SnippetsO’Reilly SafariHow to Contact UsAcknowledgments Terminology: What Is Streaming?On the Greatly Exaggerated Limitations of StreamingEvent Time Versus Processing TimeData Processing PatternsBounded DataUnbounded Data: BatchUnbounded Data: StreamingSummary RoadmapBatch Foundations: What and WhereWhat: Transfo
Using logs to build a solid data infrastructure (or: why dual writes are a bad idea) | Confluent
This is an edited transcript of a talk I gave at the Craft Conference 2015. The video and slides are also available. How does your database store data on disk reliably? It uses a log. How does one database replica synchronise with another replica? It uses a log. How does a distributed algorithm like Raft achieve consensus? It uses a log. How does activity data get recorded in a system like Apache
Twitter Heron: Stream Processing at Scale
the morning paper a random walk through Computer Science research, by Adrian Colyer Twitter Heron: Stream Processing at Scale – Kulkarni et al. 2015 It’s hard to imagine something more damaging to Apache Storm than this. Having read it through, I’m left with the impression that the paper might as well have been titled “Why Storm Sucksâ€, which coming from Twitter themselves is quite a statement. Th
Esper
Where Complex Event Processing meets Open Source: Esper & NEsper Make no compromise on enterprise readiness: discover EsperHA, EsperJDBC and our support services. Embed mainstream CEP in your products and deployments: Learn about our licensing options. Event Stream Intelligence with Esper and NEsper Esper is a component for CEP and ESP applications, available for Java as Esper, and for .NET as
Norikra: Stream processing with SQL for everybody
Schema-less Stream Processing with SQL Norikra is a open source server software provides "Stream Processing" with SQL, written in JRuby, runs on JVM, licensed under GPLv2. Schema-less event streams (called as 'target') Input/Output event streams as JSON objects, which can contain any fields with a target name. SQL processing Norikra's query is SQL with window specifier support (It's actually Esper
1
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
Streaming Systems Book
Why does my Java process consume more memory than Xmx? – Plumbr – User Experience & Application Performance Monitoring
{{#tags}}- {{label}}
{{/tags}}