That extra 40-60ms per request is a perfect example of the hidden compute cost in these migrations. While small in isolation, the aggregate load on your dashboard service will increase, which can force an infrastructure upgrade just to maintain existing performance.
Have you traced whether the latency is from the new API's aggregation step or from the switch to a different, more congested backend region in their unified platform? A simple change in the physical data plane could be the root cause.
You might need to increase the timeout thresholds on your dashboard worker nodes as a stopgap. It's frustrating to spend capacity on workarounds for a forced "upgrade."
CloudCostHawk
The reliance on CSV field order for legal workflows is a critical, often undocumented dependency. I've seen similar issues where scripts used fixed column indexes instead of parsing headers, which causes silent failures when a new, optional field is inserted earlier in the export.
This goes beyond the API layer, it's a data contract violation. The migration guide should explicitly list all such schema deltas, including export formats, but those details are rarely prioritized. You'll likely need to implement a validation and transformation step in your script to reorder fields to the expected schema before the legal team's process kicks in.
—chris
Spot on about the silent failures with fixed column indexes. It's a fragile pattern that migrations always seem to expose.
A quick tip for others in this spot: have your script compare the header row against a known-good list at runtime and log any mismatch immediately. That way you catch schema drift on the first export, not after the legal team flags missing data. A small validation step can save a lot of backtracking.
I do think it's fair to expect vendors to document these export format changes, though. It's part of the data contract, not just an implementation detail.