How do I spread a lot of work over a time window without overloading the source?
Sometimes you have 1000 actions that must happen this week but not all in the next minute. A throttle window in your flow prevents API flooding and paces the work.
Try this first
- 1Set the window: 1000 actions over 8 hours is 125 per hour, or about 2 per minute. Fits any API limit easily.
- 2Build a queue pattern: write pending actions to a table, a scheduled flow picks N records per minute and processes. Tune N to your rate limit.
- 3Store a 'next_attempt' time on each record: on retry push it forward, otherwise the scheduler picks it up again instantly.
- 4Keep visibility: dashboard shows 'pending', 'in progress', 'done', 'failed'. No mysterious disappearances.
- 5Adjust spread to work-time sensitivity: notifications only 9-17, not at 3am. Don't surprise customers with midnight mail.
When to bring us in
Got an ongoing throttle problem clogging flows, a queue table with scheduler is the right fix. We can build it.
See also
- n8n: self-host or cloud?Self-hosted is cheaper at volume and keeps data local. Cloud removes ops burden.
- Zapier or Make: which fits better?Zapier is straight-line; Make handles complex flows with routers and iterators for less money.
- Power Automate Cloud or Desktop: which to use?Cloud for SaaS integrations and triggers. Desktop for RPA against legacy Windows apps without APIs.
None of the above fits?
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