How to track a memory leak

I have this function, f(). It performs some computation (always the same), then sends the result to another machine via HTTP.jl, then returns nothing. There’s no global, no mutation of structure. If I run it a thousand times, measuring the memory usage using ps's RSS, I see this, in MB:

julia> lineplot(full_mem./1.e6)
   740 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
   700 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
       0                                     1000

Memory usage is flat at the beginning (it wasn’t the first run, so JIT is not a factor). At the end, I run gc() five times, and ask for the memory usage again: 722 MB. I seem to have “lost” memory. And I know that, over the long run, it consumes GBs.

How do people deal with this? The memory increase is just so… random… it’s really hard to confidently bisect the issue. Is ps's RSS even a good way to measure memory? And, on a more fundamental level, what’s going on? I know about GC generations. Does Julia really free the memory when it GC’s a particular generation, or does it keep it “for rainy days”?