![]() The bigger the code grew, the messier it became. Hence, you added another check which lets the request pass through to the system only if there’s no suitable cached response. Someone else suggested that you could speed up the system by returning cached results on repeated requests containing the same data. To negate this, you promptly added a check that filters repeated failed requests coming from the same IP address. Later, somebody noticed that the system is vulnerable to brute force password cracking. So you added an extra validation step to sanitize the data in a request. One of your colleagues suggested that it’s unsafe to pass raw data straight to the ordering system. ![]() The request must pass a series of checks before the ordering system itself can handle it.ĭuring the next few months, you implemented several more of those sequential checks. However, if those credentials aren’t correct and authentication fails, there’s no reason to proceed with any other checks. The application can attempt to authenticate a user to the system whenever it receives a request that contains the user’s credentials. Also, users who have administrative permissions must have full access to all orders.Īfter a bit of planning, you realized that these checks must be performed sequentially. You want to restrict access to the system so only authenticated users can create orders. Imagine that you’re working on an online ordering system.
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