要解决这个问题,你可以使用Stackdriver的Custom Metrics功能来将Prometheus指标导入到Stackdriver中。以下是一个包含代码示例的解决方法:
首先,确保你已经安装并配置了Prometheus和Stackdriver的相关组件。
在你的代码中添加以下代码,用于将Prometheus指标导入到Stackdriver中:
from google.cloud import monitoring
def create_custom_metric(project_id, metric_type, metric_kind, value_type):
client = monitoring_v3.MetricServiceClient()
project_name = client.project_path(project_id)
descriptor = monitoring_v3.types.MetricDescriptor()
descriptor.type = f'custom.googleapis.com/{metric_type}'
descriptor.metric_kind = metric_kind
descriptor.value_type = value_type
client.create_metric_descriptor(project_name, descriptor)
def write_custom_metric(project_id, metric_type, value):
client = monitoring_v3.MetricServiceClient()
project_name = client.project_path(project_id)
series = monitoring_v3.types.TimeSeries()
series.metric.type = f'custom.googleapis.com/{metric_type}'
series.resource.type = 'global'
point = series.points.add()
now = time.time()
point.interval.end_time.seconds = int(now)
point.interval.end_time.nanos = int(
(now - point.interval.end_time.seconds) * 10**9)
point.value.int64_value = value
client.create_time_series(project_name, [series])
# 调用函数创建自定义度量
create_custom_metric('your-project-id', 'my_custom_metric', 'GAUGE', 'INT64')
# 调用函数写入自定义度量
write_custom_metric('your-project-id', 'my_custom_metric', 42)
请注意,你需要将your-project-id
替换为你的项目ID,并根据需要修改自定义度量的名称和类型。
这样,你就可以将Prometheus指标导入到Stackdriver中,并在Stackdriver中查看它们了。