Intra-cluster Replication in Apache Kafka
Kafka is a distributed publish-subscribe messaging system. It was originally developed at LinkedIn and became an Apache project in July, 2011. Today, Kafka is used by LinkedIn, Twitter, and Square for applications including log aggregation, queuing, and real time monitoring and event processing. In the upcoming version 0.8 release, Kafka will support intra-cluster replication, which increases both
Kafkaによるリアルタイム処理
This document discusses Kafka, a distributed messaging system originally created by LinkedIn and now an Apache project. It provides an overview of how Kafka works and how various companies use it, including for log processing (LinkedIn), analytics (Facebook, Twitter, Google), and integrating with other technologies like Hadoop, Zookeeper, HBase and Storm. It also covers Kafka's scalability, perfor
LinkedIn Data Infrastructure (QCon London 2012)
LinkedIn uses DataBus to replicate data changes from Oracle in real-time. DataBus consists of relay and bootstrap services that capture changes from Oracle and distribute them to various services like search indexes, graphs, and read replicas to keep them updated in real-time. This allows users to immediately see profile updates or new connections in search results and feeds.Read less
Open-sourcing Kafka, LinkedIn's distributed message queue
Open-sourcing Kafka, LinkedIn's distributed message queue Code Alert! This is a part of our continuing series on Engineering at LinkedIn. If this isn’t your cup of Java, check back tomorrow for regular LinkedIn programming. In the meanwhile, check out some of our latest product features, tips and tricks, or user stories. - Ed. We are pleased to open-source another piece of infrastructure software
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