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Close to the user
Delivery from near whoever is asking, rather than from wherever you first deployed.
Most applications are quick for the team that built them and slow for everyone else, because they were deployed once, near the office, and tested from there.
Used for multi-region delivery, latency-sensitive surfaces and jurisdictional data placement.
What this looks like in practice
Delivery from near whoever is asking, rather than from wherever you first deployed.
Data placed where the law requires, configured rather than promised.
Global reach without a separate deployment to maintain in every region.
Performance observed from where your users are, not from your office.
A team in one city builds an application that is fast in that city. Users elsewhere experience a different product, and nobody on the team ever sees it.
Distant users rarely complain about latency. They simply use the product less and eventually stop, and the churn is attributed to anything but the two seconds they waited every time they clicked. It is among the easiest problems to fix and the hardest to notice.
Data held where a jurisdiction requires it, as a setting rather than an assurance.
Content and assets served from close to whoever requested them.
A region becoming unavailable without the application becoming unavailable.
Global reach without a per-region deployment to keep in step.
Our Asian engagement numbers doubled. We had assumed it was a product-market problem for two years.
No. That approach is what usually produces regional stacks that drift apart and then behave differently in ways nobody can reproduce.
Yes, configured per jurisdiction and enforced. That is a materially different thing from a residency promise in a contract.
By measuring from where they are. Office-side measurement is the reason this problem persists for years at a time.
Delivery continues from elsewhere. Regional failure stops being an application-wide outage.
Start on something that will still be right at a hundred times your size, and pay now what a startup should pay.
Move in stages with the old arrangement still running, and cut over only once the replacement has carried real traffic.
Get capacity when the experiment is ready, keep what produced a result, and put models in front of users without a separate platform.
Keep everything at full fidelity, query it without a project, and stop deciding today what you will want to ask next year.
Ship the application your users touch, on an address that stays put, with every version one click behind you.
Build the tools your own teams need, at a cost that makes small improvements worth doing.
Begin with one workload. Keep what you have running. Decide whether to continue once you have seen it carry something real.
No migration required to begin. Nothing to tear down if you stop.