Understanding When to use RabbitMQ or Apache Kafka https://content.pivotal.io/rabbitmq/understanding-when-to-use-rabbitmq-or-apache-kafka Performance Kafka shines here by design: 100k/sec performance is often a key driver for people choosing Apache K…

https://content.pivotal.io/rabbitmq/understanding-when-to-use-rabbitmq-or-apache-kafka RabbitMQ: Erlang Apache Kafka:Scala https://content.pivotal.io/rabbitmq/understanding-when-to-use-rabbitmq-or-apache-kafka 来自谷歌翻译 了解何时使用RabbitMQ或Apache Kafka 2017年…

https://content.pivotal.io/rabbitmq/understanding-when-to-use-rabbitmq-or-apache-kafka How do humans make decisions? In everyday life, emotion is often the circuit-breaking factor in pulling the trigger on a complex or overwhelming decision.  But for…

1.卡夫卡教程 今天,我们正在使用Apache Kafka Tutorial开始我们的新旅程.在这个Kafka教程中,我们将看到什么是Kafka,Apache Kafka历史以及Kafka的原因.此外,我们将学习Kafka Architecture,Kafka和Kafka Partition的组件.此外,我们将讨论Kafka和Kafka用例中的各种比较.除此之外,我们将在这个Kafka教程中看到各种术语,如Kafka Broker,Kafka Cluster,Kafka Consumer,Kaf…

Apache Kafka is an attractive service because it's conceptually simple and powerful. It's easy to understand writing messages to a log in one place, then reading messages from that log in another place. This simplicity not only allows for a nice sepa…

I wrote a blog post about how LinkedIn uses Apache Kafka as a central publish-subscribe log for integrating data between applications, stream processing, and Hadoop data ingestion. To actually make this work, though, this "universal log" has to…

[http://www.infoq.com/cn/articles/apache-kafka/]分布式发布-订阅消息系统. Kafka是一种快速.可扩展的.设计内在就是分布式的,分区的和可复制的提交日志服务. Apache Kafka与传统消息系统相比,有以下不同:它被设计为一个分布式系统,易于向外扩展:它同时为发布和订阅提供高吞吐量:它支持多订阅者,当失败时能自动平衡消费者:它将消息持久化到磁盘,因此可用于批量消费,例如ETL,以及实时应用程序. 本文我将重点介绍Apache Kafka的架构…

http://www.infoq.com/cn/articles/kafka-analysis-part-1 Kafka是由LinkedIn开发的一个分布式的消息系统,使用Scala编写,它以可水平扩展和高吞吐率而被广泛使用.目前越来越多的开源分布式处理系统如Cloudera.Apache Storm.Spark都支持与Kafka集成.InfoQ一直在紧密关注Kafka的应用以及发展,“Kafka剖析”专栏将会从架构设计.实现.应用场景.性能等方面深度解析Kafka. 背景介绍 Kafka创建背…

Introduction Apache Kafka is a distributed publish-subscribe messaging system. It was originally developed at LinkedIn Corporation and later on became a part of Apache project. Kafka is a fast, scalable, distributed in nature by its design, partition…

Apache Kafka目标是统一离线和在线处理,与Flume和Scribe相比较,Kafka在处理活动流数据方面更具优势.但是从架构的视野来看,Kafka与传统的消息系统(例如ActiveMQ或RabbitMQ)更相似一些. 注:Scribe是Facebook开源的日志收集系统,在Facebook内部已经得到大量的应用.它能够从各种日志源上收集日志,存储到一个中央存储系统(可以是NFS.分布式文件系统等),以便于进行集中统计分析处理.它为日志的“分布式收集.统一处理”提供了一个可扩展的.高容错…