Please check and try again. This is NOT abusive. I pressed this button by accident. It is offensive or harmful. It does not contain enough information. It contains or requests illegal information. It does not make sense. Consumer Electronics. Chemistry Engineering Mathematics Physics. What does this mean aol error message target rate limit reached statusdetailcode 5? I cant see any of my aim buddies and am receiving message target rate limit reached status detail code 5.
Asked by: Efren. Ads by Google. This site is best viewed while logged in. Top Solutions. I only have one in the buddy system and I have used it on Add your answer.
Suggested Solutions 10 What's this? Anonymous "I received the target rate limit reached status detail code 5 message on aol aim I only have one in the buddy system and I have used it once. Easier to email. Or every time I click the back button ie quits working. Was this answer helpful? Yes No. This answer closely relates to:. Anonymous 3. Anonymous 0. In extreme cases, the server might fail to take up any requests. This may lead to cascading failures in a distributed system, where the load from the non-functioning server is distributed to the other servers and gradually overloads them.
Rate limiting prevents this condition by either restricting the requests at the user level or the server level. Every second, thousands of users access an API. Even a few seconds of outage can result in a huge loss for the organization. Therefore, it is in the best interest of every organization to strive for zero downtime.
Restricting user requests at the server side is a widely-practiced method for rate limiting. As we have seen in the above section, organizations use server-side rate limiting for a variety of purposes. In practice, the users or client of the service could also benefit from rate limiting. Clients who adhere to usage restrictions can always be assured that the service provider will fulfil their requests.
If the user does not take the rate limiting into account, then they may have to face some sudden or unexpected rejection of their requests, which can affect the functionality of their solutions. For example, a mobile application might be built upon the Facebook messaging API. When people use this application, they are actually using Facebook messaging in the background. In this case, it is the client who must take steps to ensure the application adheres to the rate limiting norms.
If the rate limiting is overlooked at the client-side, users of this mobile application might face unexpected errors. It is in the best interest of API users to enforce rate limiting at the client-side. Implementing rate limiting logic in a system with distributed servers is a challenge. When a user requests an API-based service from a distributed system, the rate limiting component in each of the servers should synchronize with each other.
For example, assuming a user has already used up four out of a five requests per minute quota and issues two more requests, then these two requests would go to two different servers.
Then both of the servers allow the service request. So instead of the original five requests per minute, the user gets six requests per minute. Many such synchronization issues and race conditions could occur when rate limiting is implemented in distributed systems.
There are multiple solutions to the rate limiting inconsistencies in distributed systems. Servers using software locks to secure the user request counter is one solution. In this method, only one server will access the counter, which stores the number of requests made in a time window. Another simple but less elegant solution is sticky sessions wherein a single server always serves the user. This, however, fails the very idea of distributed systems. Adding an additional layer of logic for the purpose of rate limiting will increase the computational overhead of a server.
If the system is already overloaded, adding the rate limiting logic would further slow down the system, and the users may experience delays. Instead of implementing the rate limiting logic within the same server, it could be incorporated as an external component. Whenever a user requests an API, the request is first routed through this external component which decides to either allow or reject the request.
Adding an additional layer of complexity for rate limiting adds a new chance for failure. Even if the API is up and running, an error in the rate limiting component will result in the rejection of requests. A good rate limiting implementation should be able to quickly recover from failures. This can be in the form of hard resets when failures occur.
Also, just like the backup servers in API-based services, there could be a duplicate rate limiting component that can take up the role if the original component fails. Every digital leader has APIs, and everyone else wants them, too.
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Was this answer helpful? Yes No. This answer closely relates to:. Anonymous "I received the target rate limit reached status detail code 5 message on aol aim I only have one in the buddy system and I have used it once. Easier to email. Or every time I click the back button ie quits working. This is a common misunderstanding with the new iOS 7 after the update. Here is what you need to do. Turn on your iPhone. On the sign in tap Skip. Your old apple ID will appear.
Put the password. Now you are signed in. Was this comment helpful? Anonymous 0. It is telling you that because you either typed in your user ID in wrong or password wrong too many times. Anonymous "Window limit reached Watch videos. Try resetting the whole configuration of the iPhone. It signs out any account. Anonymous 3. Just make a new hotmail account if you cannot recover it.
Delete that group and create new one. Add Your Answer What does sign in failed rate limit reached mean on my aim appplication? Whenever I try to retrieve my emails fromAol account I am informed that Login rate limit hit?
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