{"id":304542,"date":"2025-02-06T20:39:48","date_gmt":"2025-02-06T19:39:48","guid":{"rendered":"https:\/\/glosarix.com\/glossary\/throttle-policy-en\/"},"modified":"2025-02-06T20:39:48","modified_gmt":"2025-02-06T19:39:48","slug":"throttle-policy-en","status":"publish","type":"glossary","link":"https:\/\/glosarix.com\/en\/glossary\/throttle-policy-en\/","title":{"rendered":"Throttle Policy"},"content":{"rendered":"<p>Description: The Throttling Policy in the context of serverless computing refers to a set of rules that define how to limit the rate of requests to serverless functions. These policies are essential for managing resource usage and ensuring that applications behave predictably under varying workloads. By setting limits on the number of requests a function can handle within a given timeframe, system overload is prevented, and protection against denial-of-service (DoS) attacks is provided. Additionally, these policies help optimize performance and control costs associated with cloud services, as many serverless platforms charge based on the number of invocations and execution time. Throttling policies can be configured at various levels, from global limits for the entire application to specific limits for individual functions, allowing for granular traffic management. In summary, the Throttling Policy is a crucial tool for maintaining the stability and efficiency of serverless applications, ensuring that resources are used effectively and that user experience is not compromised.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description: The Throttling Policy in the context of serverless computing refers to a set of rules that define how to limit the rate of requests to serverless functions. These policies are essential for managing resource usage and ensuring that applications behave predictably under varying workloads. By setting limits on the number of requests a function [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"glossary-categories":[],"glossary-tags":[],"glossary-languages":[],"class_list":["post-304542","glossary","type-glossary","status-publish","hentry"],"post_title":"Throttle Policy ","post_content":"Description: The Throttling Policy in the context of serverless computing refers to a set of rules that define how to limit the rate of requests to serverless functions. These policies are essential for managing resource usage and ensuring that applications behave predictably under varying workloads. By setting limits on the number of requests a function can handle within a given timeframe, system overload is prevented, and protection against denial-of-service (DoS) attacks is provided. Additionally, these policies help optimize performance and control costs associated with cloud services, as many serverless platforms charge based on the number of invocations and execution time. Throttling policies can be configured at various levels, from global limits for the entire application to specific limits for individual functions, allowing for granular traffic management. In summary, the Throttling Policy is a crucial tool for maintaining the stability and efficiency of serverless applications, ensuring that resources are used effectively and that user experience is not compromised.","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Throttle Policy - Glosarix<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/glosarix.com\/en\/glossary\/throttle-policy-en\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Throttle Policy - Glosarix\" \/>\n<meta property=\"og:description\" content=\"Description: The Throttling Policy in the context of serverless computing refers to a set of rules that define how to limit the rate of requests to serverless functions. 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