0721ed43aa
This implements Prometheus metric integration, including metric definition, collection, and exportation. End user documentation for supported metric data and exportation interface is included. Change-Id: Ia0837f28073d6cd8e0220ac84cdd261b32704ae4
176 lines
6.2 KiB
Python
176 lines
6.2 KiB
Python
# Copyright 2019 The Armada Authors.
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#
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# 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 contextlib import ExitStack
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from enum import Enum
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import os
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import prometheus_client
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from prometheus_client import multiprocess, values, context_managers
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class ActionMetrics():
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""" Support for defining and observing metrics for an action, including
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tracking attempts, failures, and timing.
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"""
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_PREFIX = 'armada'
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def __init__(self, prefix, description, labels):
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"""
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:param prefix: prefix to use for each metric name
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:param description: description of action to use in metric description
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:param labels: label names to define for each metric
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"""
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self.full_prefix = '{}_{}'.format(self.__class__._PREFIX, prefix)
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self.progress = prometheus_client.Gauge(
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'{}_attempt_inprogress'.format(self.full_prefix),
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'In progress attempts to {}'.format(description),
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labels,
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registry=REGISTRY,
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multiprocess_mode='livesum')
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self.attempt_total = prometheus_client.Counter(
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'{}_attempt_total'.format(self.full_prefix),
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'Total attempts to {}'.format(description),
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labels,
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registry=REGISTRY)
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self.failure_total = prometheus_client.Counter(
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'{}_failure_total'.format(self.full_prefix),
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'Total failures to {}'.format(description),
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labels,
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registry=REGISTRY)
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self.duration = prometheus_client.Histogram(
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'{}_duration_seconds'.format(self.full_prefix),
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'Seconds to {}'.format(description),
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labels,
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registry=REGISTRY)
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def get_context(self, *args, **kwargs):
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""" Any extra args are used as metric label values.
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:return: a context manager for the action which observes the desired
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metrics.
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:rtype: contextmanager
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"""
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progress = self.progress.labels(*args, **kwargs)
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attempt_total = self.attempt_total.labels(*args, **kwargs)
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attempt_total.inc()
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failure_total = self.failure_total.labels(*args, **kwargs)
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duration = self.duration.labels(*args, **kwargs)
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e = ExitStack()
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contexts = [
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progress.track_inprogress(),
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failure_total.count_exceptions(),
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duration.time()
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]
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for ctx in contexts:
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e.enter_context(ctx)
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return e
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class ChartHandleMetrics(ActionMetrics):
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def __init__(self, prefix, description, labels):
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super().__init__(prefix, description, labels)
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self.concurrency = prometheus_client.Histogram(
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'{}_concurrency_count'.format(self.full_prefix),
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'Count of charts being handled concurrently for chart',
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labels,
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registry=REGISTRY)
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def get_context(self, concurrency_value, *args, **kwargs):
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concurrency = self.concurrency.labels(*args, **kwargs)
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concurrency.observe(concurrency_value)
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return super().get_context(*args, **kwargs)
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class ActionWithTimeoutMetrics(ActionMetrics):
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def __init__(self, prefix, description, labels):
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super().__init__(prefix, description, labels)
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self.timeout = prometheus_client.Histogram(
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'{}_timeout_duration_seconds'.format(self.full_prefix),
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'Configured timeout (in seconds) to {}'.format(description),
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labels,
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registry=REGISTRY)
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self.timeout_usage = prometheus_client.Histogram(
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'{}_timeout_usage_ratio'.format(self.full_prefix),
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'Ratio of duration to timeout to {}'.format(description),
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labels,
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registry=REGISTRY)
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def get_context(self, timeout_value, *args, **kwargs):
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timeout = self.timeout.labels(*args, **kwargs)
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timeout_usage = self.timeout_usage.labels(*args, **kwargs)
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timeout.observe(timeout_value)
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def observe_timeout_usage(duration):
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# Avoid division by 0
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if timeout_value:
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val = duration / timeout_value
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timeout_usage.observe(val)
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timer = context_managers.Timer(observe_timeout_usage)
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context = super().get_context(*args, **kwargs)
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context.enter_context(timer)
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return context
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class ChartDeployAction(Enum):
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""" Enum to define sub-actions for the chart deploy action, to be used as
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label values.
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"""
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INSTALL = 1
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UPGRADE = 2
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NOOP = 3
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def get_label_value(self):
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"""
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:return: the label value
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:rtype: str
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"""
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return self.name.lower()
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REGISTRY = prometheus_client.CollectorRegistry()
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if "prometheus_multiproc_dir" in os.environ:
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# For why this is needed see:
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# https://github.com/prometheus/client_python/issues/275#issuecomment-504755024
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import uwsgi
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prometheus_client.values.ValueClass = values.MultiProcessValue(
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uwsgi.worker_id)
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multiprocess.MultiProcessCollector(REGISTRY)
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APPLY = ActionMetrics('apply', 'apply a manifest', ['manifest'])
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# TODO: Ideally include an action (ChartDeployAction) label, but that's not
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# determined until after chart handling starts.
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CHART_HANDLE = ChartHandleMetrics(
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'chart_handle',
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'handle a chart (including delete, deploy, test (all as necessary) but '
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'not download)', ['manifest', 'chart'])
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CHART_DOWNLOAD = ActionMetrics(
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'chart_download', 'download a chart (will be noop if previously cached)',
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['manifest', 'chart'])
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CHART_DELETE = ActionMetrics(
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'chart_delete', 'delete a chart', ['manifest', 'chart'])
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CHART_DEPLOY = ActionWithTimeoutMetrics(
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'chart_deploy',
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'deploy a chart (including install/upgrade and wait (all as necessary))',
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['manifest', 'chart', 'action'])
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CHART_TEST = ActionWithTimeoutMetrics(
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'chart_test', 'test a chart', ['manifest', 'chart'])
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