![docker download rate limit docker download rate limit](https://docs.docker.com/desktop/windows/images/docker-tutorial-win.png)
Once the zone is configured, it’s time to make use of it. Here it is set to 5 requests per second, with 10 being the maximum, though you can set it slower by formatting it as 30r/m (for 30 requests per minute). The final flag is the rate, which defines the default number of connections each client is allowed. In this case, 10m allocates 10 megabytes of memory, enough for 160,000 connections per second (which you are likely never going to see on a single server). Nginx needs to store IP addresses to check against, so it needs memory for each zone. The zone flag names the zone (in this case, “foo”), and allocates a memory block for the zone. This is the IP address of the client, but you could also use something like $server_name to limit it per server. The limit_req_zone command defines a zone using $binar_remote_addr as the identifier. I dont know how quickly the average user would run into a 10000 download/hour limit for NPM, but if they were able to arrive at an equivalently high limit like 200/hr for docker, then maybe it would be fine to start charging for rate limits above that, and not impact most people.
![docker download rate limit docker download rate limit](https://blog.mosuke.tech/image/wercker-docker-rate-limit-error.png)
For now, let’s create a basic zone by adding the following line to your server or http context block: limit_req_zone $binary_remote_addr zone=foo:10m rate=5r/s
#Docker download rate limit how to
How to Enable Rate Limiting in Nginxįirst, we must define a rate limiting “zone.” You can have multiple zones set up, and assign different locations blocks to each zone. Rate limiting can’t always save you from massive traffic spikes, so if your server really needs protection it’s good practice to set up a full-site CDN in front, or at least set up HAProxy load balancing to split the load across multiple servers. This is usually put in place to stop abusive bots, limit login attempts, and control API usage, which can prevent your server from slowing down under load. Rate limiting controls how many requests users can make to your site.