def __handle_stat(self, stat, id, topic, container_name):
try:
read_dt = parser.parse(stat["read"])
timestamp = int((time.mktime(read_dt.timetuple()) + (read_dt.microsecond / 1000000.0)) * 1000)
memory_usage = float(stat["memory_stats"]["usage"]) / float(stat["memory_stats"]["limit"])
Metric.create(topic=topic, container=container_name, timestamp=timestamp, name="memory", value=memory_usage)
# Calculate CPU usage. The docker API returns the number of cycles consumed
# by the container and the number of cycles consumed by the system. We need
# to take the difference over time and divide them to retrieve the usage
# percentage.
total_usage = float(stat["cpu_stats"]["cpu_usage"]["total_usage"])
system_usage = float(stat["cpu_stats"]["system_cpu_usage"])
if id in self.id_to_cpu:
usage_diff = total_usage - self.id_to_cpu[id]["total"]
system_diff = system_usage - self.id_to_cpu[id]["system"]
if usage_diff >= 0:
usage_pct = usage_diff / system_diff
else:
usage_pct = 0.0
Metric.create(topic=topic, container=container_name, timestamp=timestamp, name="cpu", value=usage_pct)
self.id_to_cpu[id] = {"total": total_usage, "system": system_usage}
except:
# We don't want to kill the stat thread, and we don't really mind
# if some statistics aren't saved properly
pass
def __handle_stat(self, stat, id, topic, container_name):
try:
read_dt = parser.parse(stat['read'])
timestamp = int((time.mktime(read_dt.timetuple()) +
(read_dt.microsecond / 1000000.0)) * 1000)
memory_usage = float(stat['memory_stats']['usage']) / float(
stat['memory_stats']['limit'])
Metric.create(topic=topic,
container=container_name,
timestamp=timestamp,
name='memory',
value=memory_usage)
# Calculate CPU usage. The docker API returns the number of cycles consumed
# by the container and the number of cycles consumed by the system. We need
# to take the difference over time and divide them to retrieve the usage
# percentage.
total_usage = float(stat['cpu_stats']['cpu_usage']['total_usage'])
system_usage = float(stat['cpu_stats']['system_cpu_usage'])
if id in self.id_to_cpu:
usage_diff = total_usage - self.id_to_cpu[id]['total']
system_diff = system_usage - self.id_to_cpu[id]['system']
if usage_diff >= 0:
usage_pct = usage_diff / system_diff
else:
usage_pct = 0.0
Metric.create(topic=topic,
container=container_name,
timestamp=timestamp,
name='cpu',
value=usage_pct)
self.id_to_cpu[id] = {'total': total_usage, 'system': system_usage}
except:
# We don't want to kill the stat thread, and we don't really mind
# if some statistics aren't saved properly
pass
