Edge Compute vs Region Compute: A Practical Decision Framework

Edge compute is fast when your work is stateless and slow when it is not. That single observation explains most of the failed edge migrations of the last three years. Read-heavy, cacheable, geographically distributed workloads benefit enormously. A request that has to make three round trips to a region-pinned Postgres instance benefits not at all — it pays a tax for the privilege of being closer to the user.

The right mental model is hybrid: edge for the request shell, regional for the data plane, with care taken about which decisions get made where. Authorization at the edge with a token; data access in the region; rendering wherever the latency math works out.