[anderspitman]

> In short: we have an existing customer base of 25 million+ Internet priorities, whose traffic volume spans 9 orders of magnitude! Sampling data is an elegant approach that allows us to serve fast, flexible analytics for all our customers.

I've been reflecting recently on how problems like this only exist for companies with extreme scale (similar to how microservices came about to solve FAANG-sized problems). This is a non-issue if you go with a product like plausible (or my personal choice: GoatCounter) for your analytics, because in that case you're essentially just paying them to manage an instance of their open source software for you on a multi-tenant server (I'm guessing here). And if it does eventually become a scale problem for plausible to the point where they start complicating their architecture to solve it, you can self-host or switch to another plausible provider.

If you set out to solve a simpler problem, you can use a simpler solution.