<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Backend on Commentary of Takao</title><link>https://takao.blog/en/tags/backend/</link><description>Recent content in Backend on Commentary of Takao</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>Commentary of Takao</copyright><lastBuildDate>Sat, 13 Jun 2026 23:11:50 +0900</lastBuildDate><atom:link href="https://takao.blog/en/tags/backend/index.xml" rel="self" type="application/rss+xml"/><item><title>Best Practices for Designing REST API Endpoints</title><link>https://takao.blog/en/web/web-api-design-rest-best-practices/</link><pubDate>Fri, 25 Apr 2025 00:00:00 +0900</pubDate><guid>https://takao.blog/en/web/web-api-design-rest-best-practices/</guid><description>&lt;img src="https://takao.blog/img/thumnail.webp" alt="Featured image of post Best Practices for Designing REST API Endpoints" /&gt;&lt;h2 id="introduction"&gt;Introduction
&lt;/h2&gt;&lt;p&gt;In modern web development, &lt;strong&gt;API consistency&lt;/strong&gt; plays a critical role in developer productivity.&lt;/p&gt;
&lt;p&gt;Inconsistent endpoints (URLs), improper HTTP methods, and wrapping all errors in &lt;code&gt;200 OK&lt;/code&gt; status codes lead to confusion, bugs, and wasted development cycles.&lt;/p&gt;
&lt;p&gt;This article reviews the best practices for designing scalable, self-documenting REST APIs that are easy to understand and integrate.&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id="1-principle-1-resource-oriented-urls-use-nouns"&gt;1. Principle 1: Resource-Oriented URLs (Use Nouns)
&lt;/h2&gt;&lt;p&gt;The core principle of REST is that &lt;strong&gt;URIs represent resources (nouns)&lt;/strong&gt;, while the &lt;strong&gt;HTTP methods (verbs)&lt;/strong&gt; represent the actions performed on those resources.&lt;/p&gt;</description></item><item><title>API Rate Limiting Strategies: Protecting Your Services</title><link>https://takao.blog/en/web/api-rate-limiting/</link><pubDate>Tue, 07 May 2024 00:00:00 +0900</pubDate><guid>https://takao.blog/en/web/api-rate-limiting/</guid><description>&lt;img src="https://takao.blog/img/thumnail.webp" alt="Featured image of post API Rate Limiting Strategies: Protecting Your Services" /&gt;&lt;p&gt;Rate limiting is a critical component of any production API. It protects backend services from abuse, ensures fair resource allocation, maintains performance under load, and mitigates denial-of-service attacks. This article examines the major rate limiting algorithms, their trade-offs, and best practices for designing robust systems.&lt;/p&gt;
&lt;h2 id="token-bucket-algorithm"&gt;Token Bucket Algorithm
&lt;/h2&gt;&lt;p&gt;The token bucket is one of the most widely used rate limiting algorithms. A bucket holds tokens that refill at a steady rate, and each request consumes one token. If the bucket is empty, the request is denied. This approach allows bursts up to the bucket capacity while smoothing traffic over time.&lt;/p&gt;</description></item></channel></rss>