## 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.
event_publisher.EVENT_LAMBDA_DELETE_FUNC,
        payload={"n": event_publisher.get_hash(function_name)},
    )
    i = 0
    while i < len(region.event_source_mappings):
        mapping = region.event_source_mappings[i]
        if mapping["FunctionArn"] == arn:
            del region.event_source_mappings[i]
            i -= 1
        i += 1
    return {}
@app.before_request
def before_request():
    
    transfer_encoding = request.headers.get("Transfer-Encoding", "").lower()
    if transfer_encoding == "chunked":
        request.environ["wsgi.input_terminated"] = True
@app.route("%s/functions" % API_PATH_ROOT, methods=["POST"])
def create_function():
    """Create new function
    ---
    operationId: 'createFunction'
    parameters:
        - name: 'request'
          in: body
    """
    region = LambdaRegion.get()
    arn = "n/a"
    try:
        if len(request.data) > FUNCTION_MAX_SIZE: