Github 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.

# Gather repository information from GitHub hosted repositories.
[[inputs.github]]
  ## List of repositories to monitor
  repositories = [
    "influxdata/telegraf",
    "influxdata/influxdb"
  ]

  ## Github API access token.  Unauthenticated requests are limited to 60 per hour.
  # access_token = ""

  ## Github API enterprise url. Github Enterprise accounts must specify their base url.
  # enterprise_base_url = ""

  ## Timeout for HTTP requests.
  # http_timeout = "5s"

  ## List of additional fields to query.
  ## NOTE: Getting those fields might involve issuing additional API-calls, so please
  ##       make sure you do not exceed the rate-limit of GitHub.
  ##
  ## Available fields are:
  ##  - pull-requests -- number of open and closed pull requests (2 API-calls per repository)
  # additional_fields = []

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

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 effectively monitor and analyze GitHub metrics in a distributed environment, organizations require a reliable and efficient metrics management solution. Telegraf, an open-source metrics collection agent, is the ideal tool for gathering GitHub metrics from various sources, including GitHub repositories, events, and user activities.

With its wide range of input plugins, Telegraf empowers organizations to collect diverse GitHub metrics, such as pull requests, issues, code commits, repository statistics, and more. These metrics provide valuable insights into the performance and collaboration dynamics of GitHub projects, enabling organizations to optimize their development processes.

For storing and querying the collected GitHub metrics, Prometheus, a powerful open-source monitoring and alerting tool, is the preferred choice. Prometheus supports a flexible querying language and graphical visualization capabilities, allowing organizations to gain actionable insights from GitHub metrics. By configuring Telegraf to output GitHub metrics in the Prometheus format and setting up Prometheus to scrape the metrics from the Telegraf server, seamless integration is achieved.

This process involves configuring Telegraf to collect GitHub metrics, formatting them in the Prometheus format, and setting up Prometheus to scrape the metrics from the Telegraf server. Leveraging Prometheus's advanced querying and visualization features, organizations can gain deep insights into GitHub performance, identify collaboration bottlenecks, and troubleshoot issues effectively.

By leveraging Telegraf to ship GitHub metrics to Prometheus, organizations establish a reliable and efficient metrics management solution for their distributed environments. This empowers them to monitor GitHub performance, optimize development processes, and make data-driven decisions to ensure optimal project health and performance.

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.