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dashboard: add TCP/UDP and GPU metrics with panel descriptions (#2576)
Signed-off-by: Jan-Otto Kröpke <mail@jkroepke.de>
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@@ -8,8 +8,9 @@ and takes several ideas from Grafana's [windows-observ-lib](https://github.com/g
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- Grafana 13 or later with a Prometheus data source. The file uses the v2 dashboard schema, which Grafana needs for tabs.
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- windows_exporter with the default collectors (`cpu`, `logical_disk`, `memory`, `net`, `os`, `physical_disk`, `service`, `system`).
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The GPU, Hyper-V and Time tabs need the `gpu`, `hyperv` and `time` collectors, which are not enabled by default.
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The GPU, Hyper-V and Time tabs and the TCP and UDP rows of the Network tab need the `gpu`, `hyperv`, `time`, `tcp` and `udp` collectors, which are not enabled by default.
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The process names in the GPU tab need the `process` collector.
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GPU temperature, fan, power and clock panels require WDDM 2.4 or newer and driver support; unsupported sensors are absent.
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Import the JSON file through **Dashboards > New > Import** and pick the Prometheus data source in the **Data source** variable.
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@@ -35,9 +36,9 @@ The **Reboots** annotation marks each reboot of the selected host on all graphs.
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| CPU | Utilization by mode and per core, processor queue length, context switches, interrupts, processes, threads, system calls and the effective CPU frequency. |
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| Memory | Used and available physical memory, commit charge, hard page faults, kernel pools and the system cache. |
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| Disk | Volume size and free space, usage, busy time, throughput, IOPS, latency and queue length. |
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| Network | Throughput, utilization against the link speed, packets, errors and discards per interface. |
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| Network | Throughput, utilization, packets, errors and discards per interface; TCP connection states and rates, segments and retransmissions; UDP datagrams and errors. |
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| Services | Running, pending and disabled services, automatic services that are not running, and services that started or stopped in the time range. |
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| GPU | Utilization by engine type, dedicated and shared memory, and the processes that use the GPU most. |
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| GPU | Utilization by engine type, memory capacity, commitment and locality, temperature, fans, power, clocks, and top processes by GPU utilization and memory. |
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| Hyper-V | VM count and health, Hyper-V WMI health, host CPU time, CPU and memory per VM, virtual disks, virtual switches and VM network adapters. |
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| Time | Time zone, clock sync source, NTP time sources, clock offset and NTP round-trip delay. |
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| Exporter | Scrape status and duration, exporter version and uptime, collector status, duration, failures and timeouts, and the exporter's CPU, memory, handles and Go runtime. |
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