实现prometheus#u client.multiprocess.MultiProcessCollector（Django+；芹菜）的正确方法

我有：

django应用程序与python manage.py runserver一起运行

芹菜工人与芹菜一起运行-项目工人-l信息

芹菜节拍与芹菜一起跑步-项目节拍-l信息

他们将被部署在库伯内特斯自己的吊舱中

/metrics

端点在Django应用程序中公开，但指标正在芹菜任务中收集。 因为这两个应用程序运行在两个不同的进程（POD）中，所以它们有两个不同的注册表

有没有办法处理这个问题

似乎，

prometheus\u client.multiprocess.MultiProcessCollector

可以提供帮助。 我试过了，但没用：

设置.py

registry = CollectorRegistry()
multiprocess.MultiProcessCollector(registry, path='/home/aleksandrovalbert/Work/blackbox_exporter/exporter/multiproc-tmp')

from project.settings import registry

def export(request):
    metrics_page = prometheus_client.generate_latest(registry)
    return HttpResponse(metrics_page, content_type=prometheus_client.CONTENT_TYPE_LATEST)

registry = CollectorRegistry()
multiprocess.MultiProcessCollector(registry, path='/home/aleksandrovalbert/Work/blackbox_exporter/exporter/multiproc-tmp')


class TestBeatPeriodicTask(PeriodicTask):
    run_every = timedelta(minutes=1)

    metric = Gauge(
       name='test_beat',
       documentation='Task Documentation.',
       registry=registry
    )

    def run(self):
        metric.set(888)

视图.py

registry = CollectorRegistry()
multiprocess.MultiProcessCollector(registry, path='/home/aleksandrovalbert/Work/blackbox_exporter/exporter/multiproc-tmp')

from project.settings import registry

def export(request):
    metrics_page = prometheus_client.generate_latest(registry)
    return HttpResponse(metrics_page, content_type=prometheus_client.CONTENT_TYPE_LATEST)

registry = CollectorRegistry()
multiprocess.MultiProcessCollector(registry, path='/home/aleksandrovalbert/Work/blackbox_exporter/exporter/multiproc-tmp')


class TestBeatPeriodicTask(PeriodicTask):
    run_every = timedelta(minutes=1)

    metric = Gauge(
       name='test_beat',
       documentation='Task Documentation.',
       registry=registry
    )

    def run(self):
        metric.set(888)

任务。py

registry = CollectorRegistry()
multiprocess.MultiProcessCollector(registry, path='/home/aleksandrovalbert/Work/blackbox_exporter/exporter/multiproc-tmp')

from project.settings import registry

def export(request):
    metrics_page = prometheus_client.generate_latest(registry)
    return HttpResponse(metrics_page, content_type=prometheus_client.CONTENT_TYPE_LATEST)

registry = CollectorRegistry()
multiprocess.MultiProcessCollector(registry, path='/home/aleksandrovalbert/Work/blackbox_exporter/exporter/multiproc-tmp')


class TestBeatPeriodicTask(PeriodicTask):
    run_every = timedelta(minutes=1)

    metric = Gauge(
       name='test_beat',
       documentation='Task Documentation.',
       registry=registry
    )

    def run(self):
        metric.set(888)

---

或者这只能用pushgateway来处理？

这方面有什么进展，我面临的问题完全相同吗？@klementomeri，我用作度量存储