What breaks first when a Make.com scenario scales past 1,000 runs a day?

Rate limits

Rate limits show up as sudden bursts of failures with no obvious pattern. Gmail, HubSpot, Monday, and most SaaS apps have per-minute and per-day caps that a low-volume scenario never hits. Once you are running a scenario every minute or two, those caps become the constraint. Fixes: batch operations where the API allows it, add sleep steps between calls, or route through a queue.

Error handling

The quiet killer. At 10 runs a day, a 5% error rate is 1 failure every 2 days, and you notice it. At 1,000 runs a day, a 5% error rate is 50 failures, and your logs turn into noise nobody reads. Before scaling, wire proper error routes that (a) retry once with backoff, (b) log the failure to a dedicated board with the payload attached, and (c) only ping a human when a threshold is crossed.

Cost per operation

Matters at volume. A scenario that does 5 modules per run consumes 5 operations. At 1,000 runs a day, that is 150,000 ops a month, which crosses into a higher pricing tier. Audit the scenario for modules you can consolidate (aggregators, HTTP batches) before upgrading the plan.

The rule of thumb

Any scenario expected to cross 500 daily runs deserves a pre-launch review of rate limits, error routes, and operation count. That review takes an hour and saves the "why is production broken at 2 AM" week.