Report all the metrics based on the configuration in instance
        If a metric is not well configured or is not present in the payload,
        continue processing metrics but log the information to the info page

def parse_expvar_data(self, data, tags, metrics, max_metrics, namespace):
        '''
        Report all the metrics based on the configuration in instance
        If a metric is not well configured or is not present in the payload,
        continue processing metrics but log the information to the info page
        '''
        count = 0
        for metric in metrics:
            path = metric.get(PATH)
            metric_type = metric.get(TYPE, DEFAULT_TYPE)
            metric_tags = list(metric.get(TAGS, []))
            metric_tags += tags
            alias = metric.get(ALIAS)

            if not path:
                self.warning("Metric %s has no path" % metric)
                continue

            if metric_type not in SUPPORTED_TYPES:
                self.warning("Metric type %s not supported for this check" % metric_type)
                continue

            keys = path.split("/")
            values = self.deep_get(data, keys)

            if len(values) == 0:
                self.warning("No results matching path %s" % path)
                continue

            tag_by_path = alias is not None

            for traversed_path, value in values:
                actual_path = ".".join(traversed_path)
                path_tag = ["path:%s" % actual_path] if tag_by_path else []

                metric_name = alias or self.normalize(actual_path, namespace, fix_case=True)

                try:
                    float(value)
                except ValueError:
                    self.log.warning("Unreportable value for path %s: %s" % (path, value))
                    continue

                if count >= max_metrics:
                    self.warning(
                        "Reporting more metrics than the allowed maximum. "
                        "Please contact support@datadoghq.com for more information."
                    )
                    return

                SUPPORTED_TYPES[metric_type](self, metric_name, value, metric_tags + path_tag)
                count += 1