In cloud-native systems, you can’t optimize what you can’t observe

For most of computing history, performance was an engineering problem you could reason about at your desk. Profile the code, count the database calls, size the hardware. If a system was slow, the cause was usually something you could hold in your head: an unindexed query, a synchronous call that should have been async, a loop that ran one order of magnitude too many times.