## 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.
if obj.startswith("arn:aws:kinesis:"):
            inst = KinesisStream(obj)
        elif obj.startswith("arn:aws:lambda:"):
            inst = LambdaFunction(obj)
        elif obj.startswith("arn:aws:dynamodb:"):
            if "/stream/" in obj:
                table_id = obj.split("/stream/")[0]
                table = DynamoDB(table_id)
                inst = DynamoDBStream(obj)
                inst.table = table
            else:
                inst = DynamoDB(obj)
        elif obj.startswith("arn:aws:sqs:"):
            inst = SqsQueue(obj)
        elif obj.startswith("arn:aws:sns:"):
            inst = SnsTopic(obj)
        elif type:
            for o in EventSource.filter_type(pool, type):
                if o.name() == obj:
                    return o
                if type == ElasticSearch:
                    if o.endpoint == obj:
                        return o
        else:
            print("Unexpected object name: '%s'" % obj)
        return inst
    @staticmethod
    def filter_type(pool, type):
        return [obj for obj in pool.values() if isinstance(obj, type)]