Migrating a Zapier or Make automation to a new geocoding host
No-code automations built on a geocoding step need a different migration approach than custom code does. Here is how to handle that switch.
Your first week after migrating: what to watch
The first week after a migration goes live is when the gap between what testing covered and what real production traffic actually looks like tends to show up. Testing, no matter how thorough, samples a finite set of scenarios; a full week of live traffic exposes the long tail of real usage that a test plan almost never fully anticipates.
A few specific things worth watching closely during that first week, beyond the general error rate dashboards most teams already check:
Request patterns you did not think to test. Real users type addresses with typos, unusual formatting, and regional conventions your test data may not have covered. Watching for an uptick in "no results found" responses, specifically, compared to your pre-migration baseline, can surface address formatting or matching differences between providers that clean test data missed.
Quota consumption against your actual estimate. If you estimated your quota needs before migrating, the first week is when that estimate meets reality. Checking the X-Quota-Used and X-Quota-Free-Remaining headers, documented at /docs/rate-limits/, against your projected daily volume tells you quickly whether your estimate was close or needs adjusting before you commit to a specific pricing tier for the longer term.
Response time distribution, not just averages. An average response time that looks fine can hide a smaller but meaningful tail of slow requests that only shows up under real concurrent load, something a limited test environment rarely reproduces accurately.
Any code path that still silently references the old provider. Migrations sometimes miss a call site, particularly one in a less frequently exercised feature or an infrequently run background job, and the first week is often when that gap surfaces on its own, usually through a support ticket or an unexpected log entry rather than through active searching.
Cached data drifting between old and new provider results. If your migration plan involved any of the cache handling approaches discussed elsewhere, tagging entries by source provider or letting old entries expire naturally, the first week is when it is worth actually checking that this is behaving as designed rather than assuming it.
Setting a specific, brief daily check-in during this first week, even just fifteen minutes reviewing the relevant dashboards and headers, catches most of what a migration might have missed far earlier than waiting for a problem to surface as a support ticket. After the first week without significant issues, most teams can reasonably step down to normal monitoring cadence, having used that window specifically to catch the differences that only real traffic, not testing, can reveal.
If something does turn up that testing missed, having a rollback plan ready from before the migration, rather than improvising one under pressure, is what keeps a rough first week from becoming a genuinely bad one.