Recusively parses and submit metrics for a given entity, until
        reaching self.max_depth.
        Nested metric names are flattened: memory/usage -> memory.usage
        :param: metric: parent's metric name (check namespace for root stat objects)
        :param: dat: metric dictionnary to parse
        :param: tags: entity tags to use when submitting
        :param: is_pod: is the entity a pod (bool)
        :param: depth: current depth of recursion

def _publish_raw_metrics(self, metric, dat, tags, is_pod, depth=0):
        """
        Recusively parses and submit metrics for a given entity, until
        reaching self.max_depth.
        Nested metric names are flattened: memory/usage -> memory.usage
        :param: metric: parent's metric name (check namespace for root stat objects)
        :param: dat: metric dictionnary to parse
        :param: tags: entity tags to use when submitting
        :param: is_pod: is the entity a pod (bool)
        :param: depth: current depth of recursion
        """
        if depth >= self.max_depth:
            self.log.warning('Reached max depth on metric=%s' % metric)
            return

        if isinstance(dat, numbers.Number):
            # Pod level metric filtering
            is_pod_metric = False
            if self.pod_level_metrics and any([fnmatch(metric, pat) for pat in self.pod_level_metrics]):
                is_pod_metric = True
            if is_pod_metric != is_pod:
                return

            # Metric submission
            if self.enabled_rates and any([fnmatch(metric, pat) for pat in self.enabled_rates]):
                self.rate(metric, float(dat), tags)
            elif self.enabled_gauges and any([fnmatch(metric, pat) for pat in self.enabled_gauges]):
                self.gauge(metric, float(dat), tags)

        elif isinstance(dat, dict):
            for k, v in iteritems(dat):
                self._publish_raw_metrics(metric + '.%s' % k.lower(), v, tags, is_pod, depth + 1)

        elif isinstance(dat, list):
            self._publish_raw_metrics(metric, dat[-1], tags, is_pod, depth + 1)