Protecting APIs from Abuse and Ensuring Fair Usage
API rate limiting is a technique used to control the number of requests a client can make to an API within a specific time period. It protects APIs from abuse, ensures fair resource usage, prevents system overload, and enables monetization through different pricing tiers.
What is Rate Limiting?
if (count >= limit) {
This section demonstrates a simplified example of rate limiting logic. It checks if the number of requests exceeds the defined limit.
return { allowed: false, remaining: 0 };
// Process the request
This section outlines the process of handling a request and applying rate limiting rules. The `handleRequest` function is responsible for processing individual requests.
Implementation Examples
Frequently asked questions
What is API rate limiting?
pipe = redis_client.pipeline()
How do I use Redis pipelines for rate limiting?
pipe.expire(key, window)
What does `results = pipe.execute()` do?
results = pipe.execute()
How can I implement a basic rate limiting check?
if current > max_requests:
▶ Try it live
Everything above runs in your browser — open Earthquake Wave Propagation Simulation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.