이 표에서 각 측정항목 유형에는 가독성을 위해 표에서 생략된 compute.googleapis.com/을 접두사로 추가해야 합니다.
표시 이름 (Metric type)
설명
디스크 성능 상태BETA (instance/disk/disk_performance_status)
지난 1분 간의 디스크 상태입니다. 이 측정항목은 디스크가 정상적으로 작동하는지 또는 Compute Engine 내의 문제로 인해 성능이 영향을 받는지를 나타냅니다. 가능한 값은 Healthy, Degraded, Severely Degraded입니다.
자세한 내용은 디스크 상태 모니터링을 참조하세요.
평균 I/O 지연 시간 (instance/disk/average_io_latency)
이전 1분 동안 디스크의 평균 읽기/쓰기 지연 시간(마이크로초)입니다.
평균 I/O 큐 깊이 (instance/disk/average_io_queue_depth)
이전 1분 동안 읽기/쓰기 작업에 대한 디스크의 평균 큐 깊이입니다.
디스크 읽기 바이트 (instance/disk/read_bytes_count)
사용자가 지정한 기간 동안의 평균 읽기 처리량 또는 평균 읽기/쓰기 바이트 수입니다*.
디스크 쓰기 바이트 (instance/disk/write_bytes_count)
사용자가 지정한 기간 동안의 평균 쓰기 처리량 또는 평균 쓰기 바이트 수입니다*.
디스크 읽기 작업 (instance/disk/read_ops_count)
사용자가 지정한 기간 동안의 평균 읽기 작업 수입니다*.
디스크 쓰기 작업 (instance/disk/write_ops_count)
사용자가 지정한 기간 동안의 평균 쓰기 작업 수입니다*.
최대 디스크 읽기 바이트 (instance/disk/max_read_bytes_count)
사용자가 지정한 기간 동안의 최대 읽기 처리량 또는 초당 최대 읽기 바이트 수입니다*.
최대 디스크 쓰기 바이트 (instance/disk/max_write_bytes_count)
사용자가 지정한 기간 동안의 최대 쓰기 처리량 또는 초당 최대 쓰기 바이트 수입니다*.
최대 디스크 읽기 작업 (instance/disk/max_read_ops_count)
사용자가 지정한 기간 동안의 초당 최대 읽기 작업 수입니다*.
최대 디스크 쓰기 작업 (instance/disk/max_write_ops_count)
사용자가 지정한 기간 동안의 초당 최대 읽기/쓰기 작업 수입니다*.
* 기간은 1분 이상이어야 합니다.
차트로 디스크 성능 시각화
측정항목 탐색기로 이전 섹션에 나열된 측정항목을 구성하여 디스크 성능을 시각화할 수 있습니다.
측정항목 탐색기는 Cloud Monitoring의 일부입니다.
예시: VM에 연결된 디스크의 평균 지연 시간 시각화
차트에서 VM 디스크의 평균 지연 시간을 시각화하려면 다음 안내를 따르세요.
다른 영구 디스크 측정항목에 대해 동일한 절차를 따를 수 있습니다.
[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-08-04(UTC)"],[[["\u003cp\u003eDisk metrics allow users to monitor disk performance and identify potential issues, addressing questions about average read IOPS, operation latency, and queue depth.\u003c/p\u003e\n"],["\u003cp\u003eCompute Engine automatically collects Persistent Disk metrics, which can be viewed through Cloud Monitoring, REST API, client libraries, Metrics Query Language (MQL), and PromQL.\u003c/p\u003e\n"],["\u003cp\u003eA range of disk-specific metrics are available, including performance status, average I/O latency, queue depth, read/write bytes, read/write operations, and peak read/write metrics.\u003c/p\u003e\n"],["\u003cp\u003eUsers can visualize disk performance using Metrics Explorer within Cloud Monitoring, allowing them to chart metrics like average latency and filter data by instance and device name.\u003c/p\u003e\n"],["\u003cp\u003eIn addition to monitoring performance metrics, users are also encouraged to review disk optimization guidelines and monitor disk health for comprehensive management.\u003c/p\u003e\n"]]],[],null,["*** ** * ** ***\n\nYou can use disk metrics to observe your disks' performance and debug\nperformance problems.\n\nDisk metrics can help you answer questions such as the following:\n\n- What's the average read IOPS for a virtual machine (VM) instance's disks?\n- On average, what's the latency for read or write operations?\n- What's the average [queue depth](/compute/docs/disks/optimizing-pd-performance#io-queue-depth) for a specific disk?\n\nReview your disk's metrics to ensure its performance is sufficient for your\nworkload. In addition, you should also do the following:\n\n- Review the disk optimization guidelines. For more information,\n see [Optimize Google Cloud Hyperdisk](/compute/docs/disks/optimize-hyperdisk)\n and [Optimize Persistent Disk](/compute/docs/disks/optimizing-pd-performance).\n\n- Check the disk's health. For detailed information about disk health, see\n [Monitor disk health](/compute/docs/disks/disk-health).\n\nThis document discusses the Persistent Disk metrics Compute Engine automatically collects\nfrom each VM and how to view them in [Cloud Monitoring](/monitoring/docs/monitoring-overview),\nwhich is Google Cloud's monitoring solution.\n\nAvailable Persistent Disk metrics\n\nYou can view metrics in Cloud Monitoring, or programmatically retrieve\nPersistent Disk metrics using the [REST API](/monitoring/api), [client libraries](/monitoring/docs/reference/libraries), [Metrics Query Language (MQL)](/monitoring/mql),\nand [PromQL](/monitoring/promql).\n\nThe following table lists the disk-specific metrics available for every disk. You can collect additional metrics\nif you install the [Ops Agent](/monitoring/agent/ops-agent) on your VM.\n\nFor a full list of Compute Engine metrics, see\n[Compute Engine metrics](/monitoring/api/metrics_gcp_c#gcp-compute).\n\nEach metric type in this table must be prefixed with `compute.googleapis.com/`,\nwhich has been omitted from the table for readability. \n\n| Display name `(Metric type)` | Description |\n|------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| **Disk performance status** ^BETA^ `(instance/disk/disk_performance_status)` | The disk's health over the last minute. This metric indicates if the disk is performing normally or if its performance is affected by an incident within Compute Engine. Possible values are `Healthy`, `Degraded`, and `Severely Degraded`. For more information, see [Monitor a disk's health](/compute/docs/disks/disk-health). |\n| **Average I/O latency** `(instance/disk/average_io_latency)` | The disk's average read/write latency, in microseconds, for the last minute. |\n| **Average I/O queue depth** `(instance/disk/average_io_queue_depth)` | The disk's average queue depth for read/write operations over the last minute. |\n| **Disk read bytes** `(instance/disk/read_bytes_count)` | Average read throughput, or, the average number of bytes read or written over a period of time specified by the user^\\*^. |\n| **Disk write bytes** `(instance/disk/write_bytes_count)` | Average write throughput, or, the average number of bytes written over a period of time specified by the user^\\*^. |\n| **Disk read operations** `(instance/disk/read_ops_count)` | The average number of read operations over a period of time specified by the user^\\*^. |\n| **Disk write operations** `(instance/disk/write_ops_count)` | The average number of write operations over a period of time specified by the user^\\*^. |\n| **Peak disk read bytes** `(instance/disk/max_read_bytes_count)` | Peak read throughput, the maximum number of bytes read per second over a period of time specified by the user^\\*^. |\n| **Peak disk write bytes** `(instance/disk/max_write_bytes_count)` | Peak write throughput, the maximum number of bytes written per second over a period of time specified by the user^\\*^. |\n| **Peak disk read ops** `(instance/disk/max_read_ops_count)` | The maximum number of read operations per second over a period of time specified by the user^\\*^. |\n| **Peak disk write ops** `(instance/disk/max_write_ops_count)` | The maximum number of write operations per second over a period of time specified by the user^\\*^. |\n\n^\\*^ The period must be one minute or longer.\n\n\u003cbr /\u003e\n\nVisualize disk performance on a chart\n\nYou can visualize your disk's performance by plotting any of\nthe metrics listed in the preceding section with Metrics Explorer.\nMetrics Explorer is part of Cloud Monitoring.\n\nExample: Visualize average latency for the disks attached to a VM\n\n\nTo visualize the average\nlatency for a VM's disks on a chart, follow these instructions.\nYou can follow the same procedure for the other\nPersistent Disk metrics.\n\n\n1. In the Google Cloud console, go to the\n *leaderboard* **Metrics explorer** page:\n\n [Go to **Metrics explorer**](https://console.cloud.google.com/monitoring/metrics-explorer)\n\n \u003cbr /\u003e\n\n If you use the search bar to find this page, then select the result whose subheading is\n **Monitoring**.\n2. In the toolbar of the Google Cloud console, select your Google Cloud project. For [App Hub](/app-hub/docs/overview) configurations, select the App Hub host project or the app-enabled folder's management project.\n3. In the **Metric** element, expand the **Select a metric** menu, enter `VM Instance` in the filter bar, and then use the submenus to select a specific resource type and metric:\n 1. In the **Active resources** menu, select **VM Instance**.\n 2. In the **Active metric categories** menu, select **Instance**.\n 3. In the **Active metrics** menu, select **Disk average latency**.\n 4. Click **Apply**.\n\n The fully qualified name for this metric is `compute.googleapis.com/instance/disk/average_io_latency`.\n4. Configure how the data is viewed. To display only the metrics for each disk attached to a specific instance, follow these steps:\n - In the **Filter** element, click **Add filter** , and then select **instance_name**. For the value, select a specific instance name.\n - In the **Aggregation** entry, set the first menu to **Mean** and the second menu to **device_name**.\n\n For more information about configuring a chart, see\n [Select metrics when using Metrics Explorer.](/monitoring/charts/metrics-selector)\n\nWhat's next\n\n- Learn how to [optimize Persistent Disk performance](/compute/docs/disks/optimizing-pd-performance).\n- Learn more about [creating charts with Metric Explorer](/monitoring/charts/metrics-explorer).\n- Learn more about [Cloud Monitoring](/monitoring/docs/monitoring-overview).\n- Enable the [Monitoring API](/monitoring/api/enable-api).\n- View all the [available metrics for Compute Engine](/monitoring/api/metrics_gcp_c#gcp-compute)."]]
