NVIDIA BCM

Monitor your NVIDIA BCM cluster by enabling this ActiveGate extension

Extension

Product information
Release notes

Overview

NVIDIA Base Command Manager streamlines cluster provisioning, workload management, and infrastructure monitoring. It provides all the tools you need to deploy and manage an AI data center. This extension provides real-time insights into your whole cluster, including nodes, disks and GPUs, allowing you to correlate that data with the rest of your monitored environment and easily pinpoint issues and bottlenecks.

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Requirements

Dynatrace version 1.309+
ActiveGate version 1.309+
ActiveGate with the Extensions 2.0 module enabled.
A certificate and its key to access the NVIDIA BCM API, typically found under /root/.cm on the head node. Once located, you will need to copy them into the filesystem of the ActiveGate and make sure that the dtuserag(Linux) system user or Local Service (Windows) can access them.

Dynatrace configuration

Under Extensions on the left menu, select NVIDIA BCM. Select an ActiveGate group where the extension will run and configure it as follows:

URL: Address to connect to the API of the head node, usually on port 8081.
Certificate path: Physical location where you added the certificate. It needs to be accessible by the dtuserag system user (Linux) or Local Service (Windows).
Key path: Physical location where you added the key to the above certificate. It needs to be accessible by the dtuserag system user (Linux) or Local Service (Windows).
HTTPS Proxy: Address for the proxy, if one is required.
Proxy username: Username to authenticate against the proxy.
Proxy password: Password for the above user.
Debug: Produces more verbose logs for troubleshooting.

Details

Licensing

The metrics collected through this extension consume Dynatrace Davis Data Units (see DDUs for metrics).

A rough estimation of the amount of DDUs consumed by metric ingest can be obtained through the following formula:

( (4 * number of clusters)
+ (10 * number of nodes (both head and worker nodes))
+ (1 * number of disks)
+ (2 * number of GPUs)
) * 525.6 DDUs/year

If your license consists of Custom Metrics. Each custom metric is equivalent to 525.6 DDUs/yr Please see documentation Metric Cost Calculation.

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Extension content

Content typeNumber of items included

screen actions

8

list screen layout

4

generic relationship

3

screen layout

4

document dashboard

1

metric metadata

15

dashboards

1

screen properties

3

generic type

4

screen chart groups

4

screen entities lists

7

Feature sets

Below is a complete list of the feature sets provided in this version. To ensure a good fit for your needs, individual feature sets can be activated and deactivated by your administrator during configuration.

Feature setsNumber of metrics included

Metric name	Metric key	Description	Unit
CPU System	nvidia.bcm.cpu_system	-	PerSecond
CPU Usage	nvidia.bcm.cpu_usage	-	Percent
CPU User	nvidia.bcm.cpu_user	-	PerSecond
CPU Wait	nvidia.bcm.cpu_wait	-	PerSecond

Metric name	Metric key	Description	Unit
Hardware corrupted memory	nvidia.bcm.hardware_corrupted_memory	-	MebiByte
Memory free	nvidia.bcm.memory_free	-	MebiByte
Page swap in	nvidia.bcm.page_swap_in	-	MebiBytePerSecond
Page swap out	nvidia.bcm.page_swap_out	-	MebiBytePerSecond
Swap free	nvidia.bcm.swap_free	-	MebiByte
Out of memory killer	nvidia.bcm.oomkiller	-	Count
Total free memory	nvidia.bcm.total_memory_free	-	MebiByte
Total free swap	nvidia.bcm.total_swap_free	-	MebiByte

Metric name	Metric key	Description	Unit
GPU memory free	nvidia.bcm.gpu_mem_free	-	MebiByte
GPU memory utilization	nvidia.bcm.gpu_utilization	-	MebiByte

Metric name	Metric key	Description	Unit
Disk free space	nvidia.bcm.free_space	-	MebiByte

Full version history

To have more information on how to install the downloaded package, please follow the instructions on this page.

ReleaseDate

Full version history

First release of the official NVIDIA BCM extension. Includes:

15 metrics divided into 4 feature sets
Generic topology for cluster, node, disk and GPU
Screens for all of the above
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