## Problem
Currently, even if `LAMBDA_REMOTE_DOCKER=1`, we unzip the zip files in the directory they are in, which is usually /var/lib/localstack, which usually has a bind mount to the host.
On docker desktop, due to the use of grpc-FUSE (on macos), this can be very slow, about 200 times slower than on volumes / directly on the host. With experimental virtio filesystem enabled (also on macos), this can be reduced to about 30 times as slow, but still problematic.
This means a lambda may take a lot of time processing, for each additional layer some more. This especially affects nodejs lambdas with huge node_modules folders.

## Probable solution
At least if `LAMBDA_REMOTE_DOCKER=1`, we should leave the initial zip files on the bind mount (for persistence etc), but the working directories after unzipping should be located on non-bind mounts, to speed up the IO for unzipping.
return "Shard(%s, length=%s, percent=%s, start=%s, end=%s)" % (
            self.id,
            self.length(),
            self.percent(),
            self.start_key,
            self.end_key,
        )
    @staticmethod
    def sort(shards):
        def compare(x, y):
            s1 = int(x.start_key)
            s2 = int(y.start_key)
            if s1 < s2:
                return -1
            elif s1 > s2:
                return 1
            else:
                return 0
        return sorted(shards, cmp=compare)
    @staticmethod
    def max(shards):
        max_shard = None
        max_length = int(0)
        for s in shards:
            if s.length() > max_length:
                max_shard = s
                max_length = s.length()
        return max_shard
class FirehoseStream(KinesisStream):