Prevent server abuse - The Denial Of Service attack, DoS: For example, our server application returns weather information about a location based on the user's IP address.Our product costs should be kept in check: This is often the case when interacting with a 3rd party API like Google Maps, LinkedIn, etc.We want to prevent server overload: Common resource-intensive requests that perform data manipulation, such as image processing against the CPU or RAM.It is a means of control of the utilization of resources used by a specific client, where the server takes precedence while the client obliges - the server before the client. Request throttling is the process of limiting the number of requests that a client can make to a server within a given amount of time. Redis installed and running on your host machine.An understanding of JavaScript and a Node.js -ready environment.Thus, before we start, you should have the following installed locally: Prerequisitesįor a practical approach to request throttling, we shall implement a blog application with Strapi and Redis. Along the way, we will discover and use Redis, understand what request objects contain, and intercept the requests made against our application. We will implement a blog application with Strapi to show how to limit client requests to specific endpoints with Redis. This tutorial shows you how to build a request-throttling API. Additionally, we might opt to control how users interact with these resources. Shifting from human-prone errors, we will find ourselves dealing with the unexpected ways users interact with our system or limitations placed on the external API our projects interact with. Introduced in 4.14.The more complex our systems get, the more resource intensive our processes and requests become. The throttling state is maintained for 2 minutes. Retrying the silent authentication cannot succeed. This is a common occurrence when a tenant admin introduced Multi-Factor Authentication or when a user's password expires. MSAL throws MsalUiRequiredException when authentication cannot be resolved silently and the end-user needs to use a browser. Introduced in 4.13.0 Application is ignoring MsalUiRequiredException The throttling state is maintained for 1 minute. If AAD is having problems it may respond with an HTTP 5xx error code with no Retry-After header. The most likely culprit is that you have not setup token caching. The throttling state is maintained for the X seconds. The application will see an MsalServiceException with header details. If the server is having problems or if an application is requesting tokens too often, AAD will respond with HTTP 429 (Too Many Requests) and with Retry-After header, Retry-After X seconds. Conditions to get throttled AAD is telling the application to back off If MSAL would not apply client-side throttling, the application would still not be able to acquire tokens, as AAD would throw the error. These are subtypes of MsalServiceException, so this behaviour does not introduce a breaking change. If a call is made, then an MsalThrottledServiceException or an MsalThrottledUiRequiredException is thrown by MSAL. MSAL detects certain conditions (see below) where the application should not make repeated calls to AAD.
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