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Top comments (1)
I found the section on "Rate Limiting" to be particularly interesting, as it highlighted the importance of IP-based limiting in preventing DDoS attacks. In my experience, implementing rate limiting at the application level can be effective, but it's also crucial to consider the trade-off between security and legitimate traffic, as overly restrictive limits can lead to false positives. The article's suggestion to use a combination of IP-based and behavior-based limiting is a good approach, and I'd like to add that using machine learning algorithms to identify patterns in traffic can also help improve the accuracy of rate limiting. What are some common pitfalls to avoid when implementing rate limiting in a cloud-based infrastructure?