## 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.
context = {}
    
    
    if not hasattr(run_lambda, "_provider_initialized"):
        aws_stack.connect_to_service("lambda").list_functions()
        run_lambda._provider_initialized = True
    region_name = func_arn.split(":")[3]
    region = LambdaRegion.get(region_name)
    if suppress_output:
        stdout_ = sys.stdout
        stderr_ = sys.stderr
        stream = StringIO()
        sys.stdout = stream
        sys.stderr = stream
    try:
        func_arn = aws_stack.fix_arn(func_arn)
        lambda_function = region.lambdas.get(func_arn)
        if not lambda_function:
            LOG.debug("Unable to find details for Lambda %s in region %s", func_arn, region_name)
            result = not_found_error(msg="The resource specified in the request does not exist.")
            return InvocationResult(result)
        if lambda_function.state != "Active":
            result = error_response(
                f"The operation cannot be performed at this time. The function is currently in the following state: {lambda_function.state}",
                409,
                "ResourceConflictException",
            )
            raise ClientError(result)
        context = LambdaContext(lambda_function, version, context)
        result = LAMBDA_EXECUTOR.execute(