Rate Limiting with Sliding Window in Redis
📖 Scenario: You are building a web service that needs to limit how many requests a user can make in a short time to prevent overload and abuse.We will use Redis to implement a sliding window rate limiter that tracks requests per user in real-time.
🎯 Goal: Create a Redis data structure and commands to track user requests and enforce a sliding window rate limit of 5 requests per 10 seconds.
📋 What You'll Learn
Create a Redis sorted set to store timestamps of user requests
Add a configuration variable for the time window size (10 seconds)
Write a Redis command sequence to remove old requests outside the window
Add a command to count current requests and allow or deny new requests based on the limit
💡 Why This Matters
🌍 Real World
Rate limiting protects web services from too many requests in a short time, preventing overload and abuse.
💼 Career
Understanding Redis data structures and commands for rate limiting is valuable for backend developers and system engineers.
Progress0 / 4 steps