Rate Limiting
Rate Limiting is a technique used in computer networks and application development to control the rate at which users or systems can make requests to a service. Its primary purpose is to protect systems from being overwhelmed by too many requests in a short period, which can lead to performance degradation, service outages, or even denial of service (DoS) attacks.
Rate limiting works by setting a maximum number of requests that can be made in a specific time frame. For example, an API might be rate-limited to 100 requests per minute per user. When a user exceeds this limit, the system will either delay the request, return an error, or block further requests until the rate limit resets.
This is particularly important in APIs, web services, and networking, where unchecked traffic can cause bottlenecks or downtime. Rate limiting ensures fair usage among users, improves service reliability, and safeguards against malicious activities such as API abuse or brute-force attacks.
How CodeBranch applies Rate Limiting in real projects
The definition above gives you the concept — but knowing what Rate Limiting means is different from knowing when and how to apply it in a production system. At CodeBranch, we have spent 20+ years building custom software across healthcare, fintech, supply chain, proptech, audio, connected devices, and more. Every entry in this glossary reflects how our engineering, architecture, and QA teams actually use these concepts on client projects today.
Our work combines AI-powered agentic development, the Spec-Driven Development (SDD) framework, CI/CD pipelines with agent rules, and production-grade quality gates. Whether you are evaluating a technology for your product, trying to understand a vendor proposal, or simply learning, this glossary is written to give you practical, accurate context — not theoretical abstractions.
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