<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Database on Kaisekukun</title><link>https://netguide.jp/en/tags/database/</link><description>Recent content in Database on Kaisekukun</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>Kaisekukun</copyright><lastBuildDate>Mon, 20 Apr 2026 12:00:00 +0900</lastBuildDate><atom:link href="https://netguide.jp/en/tags/database/index.xml" rel="self" type="application/rss+xml"/><item><title>PostgreSQL Performance Tuning for Web Developers</title><link>https://netguide.jp/en/software/postgres-performance-tuning/</link><pubDate>Mon, 20 Apr 2026 12:00:00 +0900</pubDate><guid>https://netguide.jp/en/software/postgres-performance-tuning/</guid><description>&lt;img src="https://netguide.jp/img/thumbnail/postgres-performance-tuning-en.png" alt="Featured image of post PostgreSQL Performance Tuning for Web Developers" /&gt;&lt;p&gt;Optimize slow-performing applications by profiling database queries in PostgreSQL with EXPLAIN. Slow queries are the single largest bottleneck in most web applications. This guide walks you through essential index optimization guidelines, how to read execution plans, and key configuration parameter adjustments for self-hosted or managed databases.&lt;/p&gt;
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&lt;h2 id="1-designing-effective-indexes"&gt;1. Designing Effective Indexes
&lt;/h2&gt;&lt;p&gt;The primary bottleneck in modern databases is Disk I/O (reading block files from storage). Adding indexes allows PostgreSQL to query data records directly instead of scanning the entire table.&lt;/p&gt;</description></item></channel></rss>