1.2 Use Cases中 Log Aggregation官网剖析（博主推荐）

转载于 2017-04-26 08:44:00 发布 · 104 阅读

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本文介绍如何使用Kafka作为日志聚合方案的替代品。Kafka提供了一个更简洁的数据流抽象，相比传统的文件收集方式，它可以实现更低延迟的处理，并且易于支持多种数据源及分布式的消费。与Scribe或Flume等基于文件的日志系统相比，Kafka提供了更强的持久化保证和更低的整体延迟。

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　　一切来源于官网

http://kafka.apache.org/documentation/

Log Aggregation

日志聚合

　　Many people use Kafka as a replacement for a log aggregation solution. Log aggregation typically collects physical log files off servers and puts them in a central place (a file server or HDFS perhaps) for processing. Kafka abstracts away the details of files and gives a cleaner abstraction of log or event data as a stream of messages. This allows for lower-latency processing and easier support for multiple data sources and distributed data consumption. In comparison to log-centric systems like Scribe or Flume, Kafka offers equally good performance, stronger durability guarantees due to replication, and much lower end-to-end latency.

使用kafka代替一个日志聚合的解决方案。

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