def main(self):
        logging.basicConfig(level=logging.ERROR, filename=self.settings.get('log_file', None))
        reports_log = self.settings.get('report_log_file', None)
        if reports_log:
            boundary_plugin.log_metrics_to_file(reports_log)
        boundary_plugin.start_keepalive_subprocess()

        while True:
            data = self.get_stats_with_retries()
            self.handle_metrics(data)
            boundary_plugin.sleep_interval()
Exemplo n.º 2
0
    def main(self):
        logging.basicConfig(level=logging.ERROR,
                            filename=self.settings.get('log_file', None))
        reports_log = self.settings.get('report_log_file', None)
        if reports_log:
            boundary_plugin.log_metrics_to_file(reports_log)
        boundary_plugin.start_keepalive_subprocess()

        while True:
            data = self.get_stats_with_retries()
            self.handle_metrics(data)
            boundary_plugin.sleep_interval()
    def main(self):
        logging.basicConfig(level=logging.ERROR, filename=self.settings.get('log_file', None))
        reports_log = self.settings.get('report_log_file', None)
        if reports_log:
            boundary_plugin.log_metrics_to_file(reports_log)
        boundary_plugin.start_keepalive_subprocess()

        instances = self.settings['items']
        while True:
            for instance in instances:
                instance['source_name'] = self.get_source_name(instance)
                self.report_stats_with_retries(instance)
            boundary_plugin.sleep_interval()
    def main(self):
        logging.basicConfig(level=logging.ERROR, filename=self.settings.get('log_file', None))
        reports_log = self.settings.get('report_log_file', None)
        if reports_log:
            boundary_plugin.log_metrics_to_file(reports_log)
        boundary_plugin.start_keepalive_subprocess()

        instances = [i['instance_name'] for i in self.settings.get("items", [{'instance_name': None}])]
        while True:
            for instance_name in instances:
                data = self.get_stats_with_retries(instance_name)
                self.handle_metrics(data, instance_name)
            boundary_plugin.sleep_interval()
Exemplo n.º 5
0
    def main(self):
        logging.basicConfig(level=logging.ERROR,
                            filename=self.settings.get('log_file', None))
        reports_log = self.settings.get('report_log_file', None)
        if reports_log:
            boundary_plugin.log_metrics_to_file(reports_log)
        boundary_plugin.start_keepalive_subprocess()

        instances = [
            i['instance_name']
            for i in self.settings.get("items", [{
                'instance_name': None
            }])
        ]
        while True:
            for instance_name in instances:
                data = self.get_stats_with_retries(instance_name)
                self.handle_metrics(data, instance_name)
            boundary_plugin.sleep_interval()
Exemplo n.º 6
0
    except KeyError:
        old_value = new_value

    diff = new_value - old_value
    _accum[stat_name] = new_value
    return diff


# List of values returned from Redis' info call to report to Boundary.
# Each value has a boolean specifying whether to aggregate data (i.e. report
# only delta from the previous value) or report the metric as-is.
values_to_report = (
    ('connected_clients', False),
    ('keyspace_hits', True),
    ('keyspace_misses', True),
    ('expired_keys', True),
    ('evicted_keys', True),
    ('total_commands_processed', True),
    ('total_connections_received', True),
    ('used_memory_rss', False),
)

while True:
    info = r.info()

    for v, aggregate in values_to_report:
        val = accum(v, info[v]) if aggregate else info[v]
        boundary_plugin.boundary_report_metric('REDIS_' + v.upper(), val)

    boundary_plugin.sleep_interval()
    except KeyError:
        old_value = new_value

    diff = new_value - old_value
    _accum[stat_name] = new_value
    return diff

# List of values returned from Redis' info call to report to Boundary.
# Each value has a boolean specifying whether to aggregate data (i.e. report
# only delta from the previous value) or report the metric as-is.
values_to_report = (
    ('connected_clients', False),
    ('keyspace_hits', True),
    ('keyspace_misses', True),
    ('expired_keys', True),
    ('evicted_keys', True),
    ('total_commands_processed', True),
    ('total_connections_received', True),
    ('used_memory_rss', False),
)

while True:
    info = r.info()

    for v,aggregate in values_to_report:
        val = accum(v, info[v]) if aggregate else info[v]
        boundary_plugin.boundary_report_metric('REDIS_' + v.upper(), val)

    boundary_plugin.sleep_interval()