Throttling Pattern
Version 1.0.0 · Updated 2026-07-31
CORE DEFINITION
Limit the number of requests a user or service can initiate within a unit of time. Requests exceeding the quota are rejected.
SCAFFOLDING EFFECT
Reduce cognitive load
Protect the system from being overwhelmed. Learn to say "no" at work. Set your bandwidth limit (e.g., only handle 3 urgent tasks per day). Beyond that, you must reject or queue, otherwise you will crash (downtime), which benefits no one.
Anchor fast decisions
Throttling constrains resource consumption by setting a rate limit (e.g., N requests per second, token bucket/leaky bucket algorithm). Requests exceeding the quota are rejected or queued. The mechanism is to "protect limited bandwidth"—using explicit rejection to avoid system avalanche (cascading failure) due to overload, replacing "unlimited acceptance" with "bounded and controllable".
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- learn.microsoft.comhttps://learn.microsoft.com/en-us/azure/architecture/patterns/throttlingverified
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