LinkedIn、システムの複雑性低減のためにLambdaアーキテクチャを廃止Spring BootによるAPIバックエンド構築実践ガイド 第2版 何千人もの開発者が、InfoQのミニブック「Practical Guide to Building an API Back End with Spring Boot」から、Spring Bootを使ったREST API構築の基礎を学んだ。この本では、出版時に新しくリリースされたバージョンである Spring Boot 2 を使用している。しかし、Spring Boot3が最近リリースされ、重要な変...
Handling five billion sessions a day – in real time
Since we first released Answers seven months ago, we’ve been thrilled by tremendous adoption from the mobile community. We now see about five billion sessions per day, and growing. Hundreds of millions of devices send millions of events every second to the Answers endpoint. During the time that it took you to read to here, the Answers back-end will have received and processed about 10,000,000 anal
Event Streams in Action
Advanced Analytics for Business—Save 45% TODAY ONLY!
Radar - O’Reilly
Now, next, and beyond: Tracking need-to-know trends at the intersection of business and technology AI/ML Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML). Future of the Firm Everything from new organizational structures and payment schemes to new expectations, skills, and tools will shape the future of the fi
How to beat the CAP theorem - thoughts from the red planet - thoughts from the red planet
September 2021 (1) March 2017 (1) January 2017 (1) July 2016 (1) June 2016 (1) September 2015 (1) October 2014 (1) June 2014 (1) May 2014 (1) February 2014 (2) April 2013 (3) March 2013 (1) September 2012 (1) February 2012 (1) January 2012 (1) October 2011 (1) March 2011 (1) January 2011 (3) December 2010 (2) November 2010 (1) October 2010 (2) August 2010 (2) July 2010 (2) June 2010 (1) May 2010 (
TSAR, a TimeSeries AggregatoR
Twitter is a global real-time communications platform that processes many billions of events every day. Aggregating these events in real time presents a massive challenge of scale. Classic time-series applications include site traffic, service health, and user engagement monitoring; these are increasingly complemented by a range of analytics products and features such as Tweet activity, Followers,
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Have your cake and eat it too
Lambda Architectures in Practice
http://static.druid.io/docs/radstack.pdf
SE Radio 222: Nathan Marz on Real-Time Processing with Apache Storm – Software Engineering Radio
GitHub - OryxProject/oryx: Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
How the Nephew of Computer Science Royalty Remade Twitter
ラムダアーキテクチャに関する疑問
GitHub - onyx-platform/onyx: Distributed, masterless, high performance, fault tolerant data processing
Real-time Analytics with Open Source Technologies
http://www.vldb.org/pvldb/vol7/p1441-boykin.pdf
Real-Time Counts with Stitch
GitHub - kscaldef/summingbird-hybrid-example: A self-contained example of summingbird running in hybrid mode
Real-time Recommendations using Spark Comcast Labs
0603 Summingbird Streaming Portable MapReduce