红帽全球峰会第 1 章 主要特性
Apache Kafka 的流简化了在 Kubernetes 集群中运行的 Apache Kafka 的过程。
本指南充当 Apache Kafka 的 Streams 简介，概述为 Apache Kafka 操作流的核心 Kafka 概念。它简要解释了 Kafka 的组件、其目的和配置点，包括安全性和监控选项。Apache Kafka 的流提供部署和管理 Kafka 集群所需的文件，以及用于监控部署的示例配置文件。https://docs.redhat.com/en/documentation/red_hat_streams_for_apache_kafka/2.8/html-single/deploying_and_managing_streams_for_apache_kafka_on_openshift/index#config-examples-str
1.1. Kafka 功能
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Kafka 的数据流处理功能和组件架构提供：
- 用于微服务和其他应用程序的高吞吐量、低延迟数据共享
- 保证消息排序
- 从数据存储中递归/重播消息，以重新构建应用程序状态
- 消息压缩，在键值日志中删除过时的记录
- 集群中的水平可扩展性
- 数据复制以增强容错
- 高容量数据保留，以便立即访问
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