Nvidia SMI Metrics via Telegraf

This integration allows you to configure a Telegraf agent to send your metrics, in multiple formats, to Logit.io.

Telegraf is a flexible server agent equipped with plug-in support, useful for sending metrics and events from data sources like web servers, APIs, application logs, and cloud services.

To ship your metrics to Logit.io, we will integrate the relevant input and outputs.http plug-in into your Telegraf configuration file.

Choose the install for your operating system below to get started:

Windows

wget https://dl.influxdata.com/telegraf/releases/telegraf-1.19.2_windows_amd64.zip

Download and extract to: C:\Program Files\Logitio\telegraf\

Configuration file: C:\Program Files\Logitio\telegraf\

MacOS

brew install telegraf

Configuration file x86_64 Intel: /usr/local/etc/telegraf.conf Configuration file ARM (Apple Silicon): /opt/homebrew/etc/telegraf.conf

Ubuntu/Debian

wget -q https://repos.influxdata.com/influxdata-archive_compat.key
echo '393e8779c89ac8d958f81f942f9ad7fb82a25e133faddaf92e15b16e6ac9ce4c influxdata-archive_compat.key' | sha256sum -c && cat influxdata-archive_compat.key | gpg --dearmor | sudo tee /etc/apt/trusted.gpg.d/influxdata-archive_compat.gpg > /dev/null
echo 'deb [signed-by=/etc/apt/trusted.gpg.d/influxdata-archive_compat.gpg] https://repos.influxdata.com/debian stable main' | sudo tee /etc/apt/sources.list.d/influxdata.list

sudo apt-get update
sudo apt-get install telegraf

Configuration file: /etc/telegraf/telegraf.conf

RedHat and CentOS

cat <<EOF | sudo tee /etc/yum.repos.d/influxdata.repo
[influxdata]
name = InfluxData Repository - Stable
baseurl = https://repos.influxdata.com/stable/\$basearch/main
enabled = 1
gpgcheck = 1
gpgkey = https://repos.influxdata.com/influxdata-archive_compat.key
EOF

sudo yum install telegraf

Configuration file: /etc/telegraf/telegraf.conf

SLES & openSUSE

zypper ar -f obs://devel:languages:go/ go
zypper in telegraf

Configuration file: /etc/telegraf/telegraf.conf

FreeBSD/PC-BSD

sudo pkg install telegraf

Configuration file: /etc/telegraf/telegraf.conf

Read more about how to configure data scraping and configuration options for Telegraf

The configuration file below is pre-configured to scrape the system metrics from your hosts, add the following code to the configuration file /etc/telegraf/telegraf.conf from the previous step.

# Pulls statistics from nvidia GPUs attached to the host
[[inputs.nvidia_smi]]
  ## Optional: path to nvidia-smi binary, defaults "/usr/bin/nvidia-smi"
  ## We will first try to locate the nvidia-smi binary with the explicitly specified value (or default value),
  ## if it is not found, we will try to locate it on PATH(exec.LookPath), if it is still not found, an error will be returned
  # bin_path = "/usr/bin/nvidia-smi"

  ## Optional: timeout for GPU polling
  # timeout = "5s"

Read more about how to configure data scraping and configuration options for Nvidia SMI

Once you have generated the configuration file, you need to set up the output plug-in to allow Telegraf to transmit your data to Logit.io in Prometheus format. This can be accomplished by incorporating the following code into your configuration file:

[[outputs.http]]
  
  url = "https://<your-metrics-username>:<your-metrics-password>@<your-metrics-stack-id>-vm.logit.io:0/api/v1/write"
  data_format = "prometheusremotewrite"

  [outputs.http.headers]
    Content-Type = "application/x-protobuf"
    Content-Encoding = "snappy"

Windows

telegraf.exe --service start

MacOS

telegraf --config telegraf.conf

Linux

sudo service telegraf start

for systemd installations

systemctl start telegraf

Data should now have been sent to your Stack.

View my data

If you don't see metrics take a look at How to diagnose no data in Stack below for how to diagnose common issues.

If you don't see data appearing in your Stack after following the steps, visit the Help Centre guide for steps to diagnose no data appearing in your Stack or Chat to support now.

To efficiently monitor and analyze Nvidia SMI metrics across different systems, it's vital to implement a robust and efficient metrics management solution. Telegraf, an open-source server agent designed for collecting and reporting metrics, fits this role perfectly. It can gather Nvidia SMI metrics from various sources, including operational Nvidia SMI instances, databases, and other relevant applications.

Telegraf's array of input plugins enables users to collect a variety of metrics, like CPU usage, memory utilization, network traffic, and more, all vital for understanding Nvidia SMI performance. To store and analyze these harvested metrics, organizations can utilize Prometheus, an open-source monitoring and alerting toolkit renowned for its flexible querying language and powerful data visualization capabilities.

To channel Nvidia SMI metrics from Telegraf to Prometheus, organizations need to configure Telegraf to output metrics in the Prometheus format, and then set up Prometheus to scrape these metrics from the Telegraf server. This process involves setting up Telegraf to collect Nvidia SMI metrics, outputting them in the Prometheus format, configuring Prometheus to retrieve these metrics from the Telegraf server, and then visually interpreting the data using Prometheus's dynamic querying and graphical visualization tools.

Once the metrics are successfully integrated into Prometheus, further analysis and visualization can be performed using Grafana. Grafana, a leading open-source platform known for its monitoring and observability features, is fully compatible with Prometheus. It enables users to create dynamic, interactive dashboards for a deep dive into the metrics data, providing a comprehensive understanding of performance trends and potential issues in the Nvidia SMI system.

If you need any further assistance with shipping your log data to Logit.io we're here to help you get started. Feel free to get in contact with our support team by sending us a message via live chat & we'll be happy to assist.