[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間：2025-09-05 (世界標準時間)。"],[[["\u003cp\u003eThis content focuses on the Quota and SpikeArrest policies within Apigee and Apigee hybrid, which are used to manage request thresholds.\u003c/p\u003e\n"],["\u003cp\u003eThe Quota policy is recommended for use cases requiring precise request counting over longer durations like days, weeks, months, or years, offering accurate counting across all regions.\u003c/p\u003e\n"],["\u003cp\u003eSpikeArrest is better suited for rate limiting over short intervals, such as seconds or minutes, and for protecting backend services from sudden traffic spikes, but its request counting may not be entirely accurate due to its use of a Redis cache.\u003c/p\u003e\n"],["\u003cp\u003eBoth the Quota and SpikeArrest policies trigger a \u003ccode\u003e429\u003c/code\u003e (Service Unavailable) HTTP status code when request limits are reached, indicating a temporary denial of service.\u003c/p\u003e\n"],["\u003cp\u003eShared flows and chaining proxies can be utilized to protect slower backends without impacting API performance.\u003c/p\u003e\n"]]],[],null,["# Comparing Quota and SpikeArrest policies\n\n*This page\napplies to **Apigee** and **Apigee hybrid**.*\n\n\n*View [Apigee Edge](https://docs.apigee.com/api-platform/get-started/what-apigee-edge) documentation.*\n\n| **Key Point:** The [Quota](/apigee/docs/api-platform/reference/policies/quota-policy) and [SpikeArrest](/apigee/docs/api-platform/reference/policies/spike-arrest-policy) policies both count requests and take action if a specified request threshold is exceeded. Be aware, however, that the mechanisms by which these policies count requests are not the same.\n|\n|\n| While SpikeArrest maintains counts with high reliability, it is designed to use a\n| [Redis\n| best-effort cache](https://www.envoyproxy.io/docs/envoy/latest/intro/arch_overview/other_protocols/redis) to store its counts. Because the cache is not replicated, there are cases where counts may be\n| lost, such as a restart of the cache servers, or other rare cases.\n|\n| For these reasons, we recommend\n| against using SpikeArrest for use cases that require accurate counting. Only the synchronous\n| Quota policy offers accurate counting across all regions in a given timeframe.\n\nUse the comparison chart below to help you decide which policy to use to\nfor your rate limiting use case:\n\n| **Tip:** You can also use the following to protect slow/sluggish backends without impacting the performance of the APIs:\n|\n| - [Creating reusable shared flows:](/apigee/docs/api-platform/fundamentals/shared-flows) Combine policies and resources into a shared flow that you can consume from multiple API proxies, and even from other shared flows.\n| - [Chaining API proxies together](/apigee/docs/api-platform/fundamentals/connecting-proxies-other-proxies): Specify that one proxy is the target endpoint of another, effectively connecting the two proxies in a proxy chain. Chaining proxies in this way can help you avoid a network hop, and so improve overall performance."]]
