Throttling is deliberately limiting how fast or how often a system sends requests, so it does not overwhelm another service. Most online services set a ceiling, for example a hundred calls per minute, and throttling is how you stay politely under that ceiling instead of hammering the door. It keeps an automation steady rather than fast and broken.
Think of a motorway on-ramp with a metering light. The light releases one car every few seconds so the main road never jams. Throttling does the same for software requests: it lets them join the flow at a controlled pace. This matters most during an API integration, where sending too quickly gets your requests rejected and your workflow stalls.
There is a second reason to throttle that has nothing to do with stated limits. Even if a service would accept everything you throw at it, a sudden flood can knock over a smaller system downstream or run up a surprise bill on usage-priced APIs. Pacing yourself protects both sides and keeps costs predictable. The simplest version is a fixed delay between calls, but smarter setups read the limit headers a service returns and slow down only when they are getting close, so you stay fast when there is room and cautious when there is not.
Throttling rarely works alone. When a request does get blocked, you want retry logic to wait and try again at a slower rhythm, so a brief limit becomes a small pause rather than a failed job. The two together let a workflow handle real-world limits gracefully.
At TopDevs we build throttling into integrations from the start, so a client’s automation respects each service’s limits and keeps running smoothly even when the volume spikes.
