I'd like to comprehensively understand the run-time performance cost of a Docker container. I've found references to networking anecdotally being ~100µs slower. I've also found references to the run-time cost being "negligible" and "close to zero" but I'd like to know more precisely what those costs are. Ideally I'd like to know what Docker is abstracting with a performance cost and things that ar

One way that has been suggested to deal with double definitions of overloaded methods is to replace overloading with pattern matching: object Bar { def foo(xs: Any*) = xs foreach { case _:String => println("str") case _:Int => println("int") case _ => throw new UglyRuntimeException() } } This approach requires that we surrender static type checking on the arguments to foo. It would be much nicer t