![]() ![]() The default throttling policy may be set globally, using the DEFAULT_THROTTLE_CLASSES and DEFAULT_THROTTLE_RATES settings. If any throttle check fails an exceptions.Throttled exception will be raised, and the main body of the view will not run. 1 It's per user, but we couldn't use Session, as that requires cookies - we're limiting based on IP address currently. The application-level throttling provided by REST framework is intended for implementing policies such as different business tiers and basic protections against service over-use.** How throttling is determinedĪs with permissions and authentication, throttling in REST framework is always defined as a list of classes.īefore running the main body of the view each throttle in the list is checked. In addition to this, the built-in throttling implementations are implemented using Django's cache framework, and use non-atomic operations to determine the request rate, which may sometimes result in some fuzziness. Deliberately malicious actors will always be able to spoof IP origins. To connect to your Windows instance using an RDP client. **The application-level throttling that REST framework provides should not be considered a security measure or protection against brute forcing or denial-of-service attacks. For example a storage service might also need to throttle against bandwidth, and a paid data service might want to throttle against a certain number of a records being accessed. Throttles do not necessarily only refer to rate-limiting requests. For example, you might want to limit a user to a maximum of 60 requests per minute, and 1000 requests per day. When a client detects that a significant portion of its recent requests have been rejected due to out of quota. Multiple throttles can also be used if you want to impose both burst throttling rates, and sustained throttling rates. Client-side throttling addresses this problem. Your API might have a restrictive throttle for unauthenticated requests, and a less restrictive throttle for authenticated requests.Īnother scenario where you might want to use multiple throttles would be if you need to impose different constraints on different parts of the API, due to some services being particularly resource-intensive. Throttles indicate a temporary state, and are used to control the rate of requests that clients can make to an API.Īs with permissions, multiple throttles may be used. ![]() It could cost hundreds or even thousands per month, but there'd be no packet shaping and you wouldn't have to share.Throttling is similar to permissions, in that it determines if a request should be authorized. If you want a circuit that gives you unrestricted access to all protocol types at all times, you will need to pony up some real money and lease a private line directly from a CLEC. There's no way an ISP can allow all its users to have full bandwidth on any protocol they desire, because then a very few would make decisions that would result in not just latency but downright outages affecting hundreds or thousands, and no service provider can afford to tolerate that. ISPs have every right to limit, for instance, P2P traffic on their networks, because otherwise it can literally cripple a network. In that case, what you're calling "throttling" is actually called packet shaping. However, depending on the type of "downloading" you're doing, your traffic might be getting lower priority causing your throughput to appear to be slowing down. Your issues happen during peak hours, when most of your ISPs other customers are using their internet connections simultaneously. Therefore, what you're describing does sound like latency to me. Note that when you buy a particular speed connection from a service provider, that speed only pertains to the line between your location and the ISPs border router your ISP has no control whatsoever what happens to packets once they're out on the internet. Since during off-peak times your connection performs as it should, you can assume that there's no technical issue with the line itself and that your ISP is in fact providing you with the connection you signed up for. I don't think you necessarily have a case, however. All you can really do is document your throughput over a reasonable length of time, like a week, and collect statements from other users. Unless you have access to their equipment, you can't. ![]()
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