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    <managingEditor>17691281867@163.com (Wenzhuo Huang)</managingEditor>
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      <title>Elasticsearch 索引策略：ILM 生命周期管理与写入性能优化</title>
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      <pubDate>Wed, 24 Sep 2025 11:01:00 +0800</pubDate>
      <author>17691281867@163.com (Wenzhuo Huang)</author>
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      <description>ILM 四阶段配置、rollover 策略、bulk 写入调优，以及分片数规划和 mapping 爆炸的避坑指南。</description>
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      <title>PostgreSQL 运维实战：配置调优、连接池、慢查询与高可用</title>
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      <pubDate>Tue, 18 Mar 2025 10:15:00 +0800</pubDate>
      <author>17691281867@163.com (Wenzhuo Huang)</author>
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      <description>系统梳理 PostgreSQL 运维核心技能：从 shared_buffers、WAL 参数调优，到 PgBouncer 事务模式配置；从 pg_stat_statements 慢查询分析到 PITR 时间点恢复；以及主从流复制、膨胀表清理和 Prometheus 监控指标的完整实践。</description>
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      <title>MySQL 深度调优：从 Buffer Pool 到锁等待的生产手册</title>
      <link>https://socake.github.io/posts/mysql-performance-tuning-deep-dive/</link>
      <pubDate>Fri, 18 Oct 2024 14:30:00 +0800</pubDate>
      <author>17691281867@163.com (Wenzhuo Huang)</author>
      <guid>https://socake.github.io/posts/mysql-performance-tuning-deep-dive/</guid>
      <description>你有没有过这种体验：按网上教程把 innodb_buffer_pool_size 调到 75%、关了 query cache、打开了 innodb_file_per_table，然后告诉自己&amp;quot;MySQL 调优就这样了&amp;quot;？真正的调优是一个持续观察、假设、验证、回滚的过程。这篇文章把我在过去几年维护的十几套 MySQL 实例上积累的调参经验整理出来，每一条都能追到具体指标和业务效果。</description>
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