1.2 Use Cases中 Log Aggregation官网剖析(博主推荐)
不多说,直接上干货!
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。
over
作者:大数据和人工智能躺过的坑
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