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The two implementation examples below show how to integrate rate limiting either via Nginx or Apache. This can be done at the server level, it can be implemented via a programming language or even a caching mechanism. There are various ways to go about actually implementing rate limits. This gives developers the freedom to decrease traffic limits on server A while increasing it on server B (a more commonly used server). Server rate limiting: If a developer has defined certain servers to handle certain aspects of their application then they can define rate limits on a server-level basis.This can be used as a preventative measure to help further reduce the risk of attacks or suspicious activity.
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For instance, if a developer knows that from midnight to 8:00 am users in a particular region won't be as active, then they can define lower rate limits for that time period.
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For example, let's say you are using a particular service's API that is configured to allow 100 requests/minute. Rate limiting is used to control the amount of incoming and outgoing traffic to or from a network.