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<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>分布式 - Category - 凌虚 Blog</title><link>https://rifewang.github.io/categories/%E5%88%86%E5%B8%83%E5%BC%8F/</link><description>分布式 - Category - 凌虚 Blog</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><copyright>Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)</copyright><lastBuildDate>Thu, 22 Aug 2024 15:05:53 +0800</lastBuildDate><atom:link href="https://rifewang.github.io/categories/%E5%88%86%E5%B8%83%E5%BC%8F/" rel="self" type="application/rss+xml"/><item><title>DDIA 分布式数据的分区与复制 - 基于 Redis、Kafka、Elasticsearch 的深入分析</title><link>https://rifewang.github.io/ddia-partition-replication-redis-kafka-es/</link><pubDate>Thu, 22 Aug 2024 15:05:53 +0800</pubDate><author>凌虚</author><guid>https://rifewang.github.io/ddia-partition-replication-redis-kafka-es/</guid><description>引言 本文基于《Designing Data-Intensive Applications》一书(设计数据密集型应用,简称 DDIA),深入探讨了 Redis、Kafka 和 Elasticsearch 等</description></item></channel></rss> |
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