Azure compute_vm 度量集
编辑Azure compute_vm 度量集
编辑这是 azure 模块的 compute_vm 度量集。
此度量集允许用户检索指定虚拟机的所有指标。
度量集特定配置说明
编辑-
refresh_list_interval - 资源将在每次获取调用（
period间隔）时检索，这意味着每次都会执行多个 Azure REST 调用。如果 Azure 用户将添加/删除与配置选项匹配的资源，这将很有帮助，因此它们不会被添加到列表或从列表中删除。为了减少我们每次执行以检索资源的 API 调用次数，用户可以配置此设置并确保资源列表不会频繁刷新。这也有利于性能和速率/成本方面 (https://docs.microsoft.com/en-us/azure/azure-resource-manager/resource-manager-request-limits)。 -
resources - 这将包含所有用于识别资源和配置所需指标的选项
识别资源的配置选项
编辑-
resource_id - ([]string) 资源的完全限定 ID，包括资源名称和资源类型。格式为 /subscriptions/{guid}/resourceGroups/{resource-group-name}/providers/{resource-provider-namespace}/{resource-type}/{resource-name}。应返回资源列表。
-
resource_group - ([]string) 此选项将选择资源组内的所有虚拟机。
如果没有输入任何选项，则会考虑订阅内的所有虚拟机。对于每个指标，将检索分配的主聚合。设置了默认的不可配置时间粒度 5 分钟，因此建议用户配置 300 秒或其倍数的间隔。
要填充 VM Guest Metrics 概览仪表板，用户必须为监控的资源启用虚拟机访客命名空间。有关将访客操作系统指标发送到 Azure Monitor 的更多信息，请参阅 https://docs.microsoft.com/en-us/azure/azure-monitor/platform/collect-custom-metrics-guestos-resource-manager-vm。
有关度量集中每个字段的说明，请参阅导出字段部分。
这是一个此度量集生成的示例文档
{
"@timestamp": "2017-10-12T08:05:34.853Z",
"azure": {
"compute_vm": {
"cpu_credits_consumed": {
"avg": 0.02
},
"cpu_credits_remaining": {
"avg": 288
},
"disk_read_bytes": {
"total": 3886082.75
},
"disk_read_operations_per_sec": {
"avg": 0.0665
},
"disk_write_bytes": {
"total": 14418893.74
},
"disk_write_operations_per_sec": {
"avg": 1.636
},
"inbound_flows": {
"avg": 97.2
},
"inbound_flows_maximum_creation_rate": {
"avg": 264
},
"network_in": {
"total": 1157992
},
"network_in_total": {
"total": 1211091
},
"network_out": {
"total": 1908414
},
"network_out_total": {
"total": 2340880
},
"os_disk_bandwidth_consumed_percentage": {
"avg": 0
},
"os_disk_iops_consumed_percentage": {
"avg": 0
},
"os_disk_max_burst_bandwidth": {
"avg": 170000000
},
"os_disk_max_burst_iops": {
"avg": 3500
},
"os_disk_queue_depth": {
"avg": 0
},
"os_disk_read_bytes_per_sec": {
"avg": 12953.607
},
"os_disk_read_operations_per_sec": {
"avg": 0.133
},
"os_disk_target_bandwidth": {
"avg": 100000000
},
"os_disk_target_iops": {
"avg": 500
},
"os_disk_used_burst_bps_credits_percentage": {
"avg": 2
},
"os_disk_used_burst_io_credits_percentage": {
"avg": 0
},
"os_disk_write_bytes_per_sec": {
"avg": 48062.975
},
"os_disk_write_operations_per_sec": {
"avg": 3.272
},
"outbound_flows": {
"avg": 97.2
},
"outbound_flows_maximum_creation_rate": {
"avg": 264
},
"percentage_cpu": {
"avg": 2.548
},
"premium_os_disk_cache_read_hit": {
"avg": 100
},
"premium_os_disk_cache_read_miss": {
"avg": 0
},
"vm_cached_bandwidth_consumed_percentage": {
"avg": 0
},
"vm_cached_iops_consumed_percentage": {
"avg": 0
},
"vm_uncached_bandwidth_consumed_percentage": {
"avg": 0
},
"vm_uncached_iops_consumed_percentage": {
"avg": 0
}
},
"namespace": "Microsoft.Compute/virtualMachines",
"resource": {
"group": "obs-test",
"id": "/subscriptions/7657426d-c4c3-44ac-88a2-3b2cd59e6dba/resourceGroups/obs-test/providers/Microsoft.Compute/virtualMachines/perfmon-test",
"name": "perfmon-test",
"type": "Microsoft.Compute/virtualMachines"
},
"subscription_id": "7657426d-c4c3-44ac-88a2-3b2cd59e6dba",
"timegrain": "PT5M"
},
"cloud": {
"account": {
"id": "7657426d-c4c3-44ac-88a2-3b2cd59e6dba"
},
"instance": {
"id": "23d5541a-ad41-4bef-b217-1d992c51ae07",
"name": "perfmon-test"
},
"machine": {
"type": "Standard_B1ms"
},
"provider": "azure",
"region": "westeurope"
},
"event": {
"dataset": "azure.compute_vm",
"duration": 115000,
"module": "azure"
},
"host": {
"cpu": {
"usage": 0.02548
},
"disk": {
"read": {
"bytes": 3886082.75
},
"write": {
"bytes": 14418893.74
}
},
"id": "23d5541a-ad41-4bef-b217-1d992c51ae07",
"name": "perfmon-test",
"network": {
"egress": {
"bytes": 2340880,
"packets": 1908414
},
"ingress": {
"bytes": 1211091,
"packets": 1157992
}
}
},
"metricset": {
"name": "compute_vm",
"period": 10000
},
"service": {
"type": "azure"
}
}