## 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.
"$LATEST": {
                "CodeSize": self.CODE_SIZE,
                "CodeSha256": self.CODE_SHA_256,
                "RevisionId": self.REVISION_ID,
            }
        }
        region.lambdas[arn].handler = self.HANDLER
        region.lambdas[arn].runtime = self.RUNTIME
        region.lambdas[arn].timeout = self.TIMEOUT
        region.lambdas[arn].tags = tags
        region.lambdas[arn].envvars = {}
        region.lambdas[arn].last_modified = self.LAST_MODIFIED
        region.lambdas[arn].role = self.ROLE
        region.lambdas[arn].memory_size = self.MEMORY_SIZE
        region.lambdas[arn].state = "Active"
    def _update_function_code(self, function_name, tags=None):
        if tags is None:
            tags = {}
        region = lambda_api.LambdaRegion.get()
        arn = lambda_api.func_arn(function_name)
        region.lambdas[arn].versions.update(
            {
                "$LATEST": {
                    "CodeSize": self.CODE_SIZE,
                    "CodeSha256": self.UPDATED_CODE_SHA_256,
                    "RevisionId": self.REVISION_ID,
                }
            }
        )
    def _assert_contained(self, child, parent):