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of 22What is rate limiting and why is it important in web applications?
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Rate limiting is a technique used to control the number of requests a client can make to a server within a specific time window. It's crucial for several reasons:
- Resource Protection: Prevents server overload by limiting concurrent requests
- Security: Mitigates brute force attacks, DoS attacks, and API abuse
- Fair Usage: Ensures equitable resource distribution among users
- Cost Control: Prevents excessive usage that could lead to high infrastructure costs
- Quality of Service: Maintains consistent performance for all users
Example: Limiting a user to 100 API calls per hour or 10 login attempts per minute.
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What's the difference between rate limiting and throttling?
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While often used interchangeably, there are subtle differences:
Rate Limiting:
- Hard limits on requests within a time window
- Typically rejects requests that exceed the limit
- Binary approach: allow or deny
Throttling: - Controls the rate at which requests are processed
- May delay requests rather than reject them
- Can introduce artificial delays to smooth traffic
Example: Rate limiting returns HTTP 429 when limit exceeded, while throttling might queue requests and process them at a controlled pace.
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What HTTP status code is typically returned when rate limiting is triggered?
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HTTP 429 "Too Many Requests" is the standard status code for rate limiting.
Common headers included with 429 responses:
Retry-After: Time to wait before making another requestX-RateLimit-Limit: Maximum requests allowedX-RateLimit-Remaining: Requests remaining in current windowX-RateLimit-Reset: When the rate limit window resets
HTTP/1.1 429 Too Many Requests
X-RateLimit-Limit: 1000
X-RateLimit-Remaining: 0
X-RateLimit-Reset: 1640995200
Retry-After: 3600
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Name and briefly explain the four main rate limiting algorithms.
How would you implement rate limiting at different levels of an application?
Implement a simple token bucket rate limiter.
What are the advantages and disadvantages of fixed window vs sliding window rate limiting?
Explain the sliding window log algorithm and its trade-offs.
How do you handle rate limiting when using load balancers?
What's the difference between rate limiting and circuit breakers? When would you use each?
How do you test rate limiting functionality effectively?
How do you monitor and alert on rate limiting effectiveness?
How would you implement distributed rate limiting using Redis?
What challenges arise when implementing rate limiting in a microservices architecture?
Explain how to implement rate limiting with Redis Cluster for high availability.
How would you implement adaptive rate limiting that adjusts based on system load?
How would you implement rate limiting for GraphQL APIs where query complexity varies?
Describe strategies for handling rate limiting in mobile applications with poor connectivity.
Design a rate limiting system for a social media platform that handles 1 billion requests per day.
How would you implement rate limiting for a real-time chat application?
How do you implement rate limiting for streaming data and real-time applications?
What are the security implications of rate limiting and how do you address them?
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Rate Limiting & Throttling, in short videos.
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