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ZFS Metrics via Telegraf

Ship your ZFS Metrics via Telegraf to your Logit.io Stack

Configure Telegraf to ship ZFS metrics to your Logit.io stacks via Logstash.

Send Your DataMetricsTelegrafZFS Metrics via Telegraf Guide

Follow this step by step guide to get 'logs' from your system to Logit.io:

Step 1 - Install 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

Step 2 - Configure the Telegraf input plugin

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.

# Read metrics of ZFS from arcstats, zfetchstats, vdev_cache_stats, pools and datasets
# This plugin ONLY supports Linux & FreeBSD
[[inputs.zfs]]
  ## ZFS kstat path. Ignored on FreeBSD
  ## If not specified, then default is:
  # kstatPath = "/proc/spl/kstat/zfs"

  ## By default, telegraf gather all zfs stats
  ## Override the stats list using the kstatMetrics array:
  ## For FreeBSD, the default is:
  # kstatMetrics = ["arcstats", "zfetchstats", "vdev_cache_stats"]
  ## For Linux, the default is:
  # kstatMetrics = ["abdstats", "arcstats", "dnodestats", "dbufcachestats",
  #     "dmu_tx", "fm", "vdev_mirror_stats", "zfetchstats", "zil"]

  ## By default, don't gather zpool stats
  # poolMetrics = false

  ## By default, don't gather dataset stats
  # datasetMetrics = false
Read more about how to configure data scraping and configuration options for ZFS

Step 3 - Configure the output plugin

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"

Step 4 - Start Telegraf

Windows

telegraf.exe --service start

MacOS

telegraf --config telegraf.conf

Linux

sudo service telegraf start

for systemd installations

systemctl start telegraf

Step 5 - View your metrics

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.

Step 6 - How to diagnose no data in Stack

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.

Step 7 - Telegraf ZFS Overview

In order to effectively monitor and analyze ZFS metrics across a distributed environment, it's essential to employ a comprehensive and efficient metrics management solution. Telegraf, an open-source server agent for collecting and sending telemetry data, fits this requirement perfectly, able to gather ZFS metrics from a variety of sources including operational ZFS instances, databases, and other associated applications.

Telegraf's extensive selection of input plugins enables users to collect metrics from diverse sources such as CPU usage, memory utilization, disk I/O, and more, all of which can be vital for understanding ZFS performance. To store and scrutinize these collected metrics, organizations can utilize Prometheus, an open-source monitoring and alerting tool known for its flexible querying language and powerful data visualization capabilities.

To convey ZFS metrics from Telegraf to Prometheus, organizations must configure Telegraf to output metrics in Prometheus format, then establish Prometheus to scrape these metrics from the Telegraf server. This procedure includes setting up Telegraf to gather ZFS metrics, outputting them in Prometheus format, configuring Prometheus to fetch these metrics from the Telegraf server, and subsequently interpreting the data through Prometheus's robust querying and visualization tools.

Upon successful integration of the metrics into Prometheus, further analysis and visualization can be carried out using Grafana. Grafana, an open-source software recognized for its monitoring and observability capabilities, is fully compatible with Prometheus. It empowers users to design dynamic, interactive dashboards for a deeper exploration of metrics data, delivering a comprehensive understanding of performance trends and potential bottlenecks in the ZFS 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.

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