## 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.
def __init__(self, id):
        super(DynamoDBStream, self).__init__(id)
        self.table = None
class DynamoDBItem(Component):
    def __init__(self, id, table=None, keys=None):
        super(DynamoDBItem, self).__init__(id)
        self.table = table
        self.keys = keys
    def __eq__(self, other):
        if not isinstance(other, DynamoDBItem):
            return False
        return other.table == self.table and other.id == self.id and other.keys == self.keys
    def __hash__(self):
        return hash(self.table) + hash(self.id) + hash(self.keys)
class ElasticSearch(Component):
    def __init__(self, id):
        super(ElasticSearch, self).__init__(id)
        self.indexes = []
        self.endpoint = None
    def name(self):
        return self.id.split(":domain/")[-1]
class SqsQueue(Component):
    def __init__(self, id):
        super(SqsQueue, self).__init__(id)
    def name(self):
        return self.id.split(":")[-1]
class SnsTopic(Component):