196eae1361
Cpu metric is important to a clutser, add cpu util to notification bus.
After this patch get applied, we will get following metrics:
{'metrics': [{'unit': '%', 'name': 'cpu_util', 'value': 30.0}, {'unit':
'%', 'name': 'memory_util', 'value': 4.795204795204795}]
Change-Id: I44cc2edf2a33ff2991ba0b006d802dc3efee42b6
72 lines
2.5 KiB
Python
72 lines
2.5 KiB
Python
# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from oslo_serialization import jsonutils
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from magnum.common import urlfetch
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from magnum.conductor.monitors import MonitorBase
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class MesosMonitor(MonitorBase):
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def __init__(self, context, bay):
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super(MesosMonitor, self).__init__(context, bay)
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self.data = {}
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@property
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def metrics_spec(self):
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return {
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'memory_util': {
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'unit': '%',
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'func': 'compute_memory_util',
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},
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'cpu_util': {
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'unit': '%',
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'func': 'compute_cpu_util',
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},
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}
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def _build_url(self, url, protocol='http', port='80', path='/'):
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return protocol + '://' + url + ':' + port + path
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def _is_leader(self, state):
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return state['leader'] == state['pid']
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def pull_data(self):
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self.data['mem_total'] = 0
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self.data['mem_used'] = 0
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self.data['cpu_total'] = 0
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self.data['cpu_used'] = 0
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for master_addr in self.bay.master_addresses:
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mesos_master_url = self._build_url(master_addr, port='5050',
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path='/state')
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master = jsonutils.loads(urlfetch.get(mesos_master_url))
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if self._is_leader(master):
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for slave in master['slaves']:
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self.data['mem_total'] += slave['resources']['mem']
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self.data['mem_used'] += slave['used_resources']['mem']
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self.data['cpu_total'] += slave['resources']['cpus']
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self.data['cpu_used'] += slave['used_resources']['cpus']
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break
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def compute_memory_util(self):
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if self.data['mem_total'] == 0 or self.data['mem_used'] == 0:
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return 0
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else:
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return self.data['mem_used'] * 100 / self.data['mem_total']
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def compute_cpu_util(self):
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if self.data['cpu_used'] == 0:
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return 0
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else:
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return self.data['cpu_used'] * 100 / self.data['cpu_total']
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