<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>成本治理 on 数据库工程博客</title><link>https://stdb.top/categories/%E6%88%90%E6%9C%AC%E6%B2%BB%E7%90%86/</link><description>Recent content in 成本治理 on 数据库工程博客</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sun, 05 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://stdb.top/categories/%E6%88%90%E6%9C%AC%E6%B2%BB%E7%90%86/index.xml" rel="self" type="application/rss+xml"/><item><title>第 4 篇：Lakehouse 成本问题往往不在存储</title><link>https://stdb.top/lakehouse-series/lakehouse-compute-and-cost/</link><pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate><guid>https://stdb.top/lakehouse-series/lakehouse-compute-and-cost/</guid><description>从扫描量、文件组织、引擎并发和治理边界四方面分析 lakehouse 的成本控制。</description></item><item><title>第 5 篇：云数据库为什么总是“越用越贵”</title><link>https://stdb.top/cloud-database-series/cost-control/</link><pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate><guid>https://stdb.top/cloud-database-series/cost-control/</guid><description>从资源扩张路径、备份、只读节点、跨区流量和环境治理角度理解云数据库成本控制。</description></item></channel></rss>