Google Dataproc is a fully managed and highly scalable service for running Apache Spark, Apache Flink, Presto, and 30+ open source tools and frameworks. Telegraf is a plug-in driven server agent for collecting and sending metrics and events from databases, systems and IoT sensors.

To send your Prometheus-format Google Dataproc metrics to Logz.io, you need to add the inputs.stackdriver and outputs.http plug-ins to your Telegraf configuration file.

Configuring Telegraf to send your metrics data to Logz.io

Before you begin, you’ll need: GCP project

Set relevant credentials in GCP
  1. Navigate to the Project selector and choose the project to send metrics from.
  2. In the Service account details screen, give the service account a unique name and select Create and continue.
  3. In the Grant this service account access to project screen, add the following roles: Compute Viewer, Monitoring Viewer, and Cloud Asset Viewer.
  4. Select Done.
  5. Select your project in the Service accounts for project list.
  6. Select KEYS.
  7. Select Keys > Add Key > Create new key and choose JSON as the type.
  8. Select Create and Save.

You must be a Service Account Key Admin to select Compute Engine and Cloud Asset roles.

Add an environment variable for the key

On your machine, run:


Replace <<PATH-TO-YOUR-GCP-KEY>> with the path to the JSON file created in the previous step.

Set up Telegraf v1.17 on a dedicated machine
For Windows:
wget https://dl.influxdata.com/telegraf/releases/telegraf-1.19.2_windows_amd64.zip

After downloading the archive, extract its contents into C:\Program Files\Logzio\telegraf\.

The configuration file is located at C:\Program Files\Logzio\telegraf\.

For MacOS:
brew install telegraf

The configuration file is located at /usr/local/etc/telegraf.conf.

For Linux:

Ubuntu & Debian

sudo apt-get update && sudo apt-get install telegraf

The configuration file is located at /etc/telegraf/telegraf.conf.

RedHat and CentOS

sudo yum install telegraf

The configuration file is located at /etc/telegraf/telegraf.conf.


# add go repository
zypper ar -f obs://devel:languages:go/ go
# install latest telegraf
zypper in telegraf

The configuration file is located at /etc/telegraf/telegraf.conf.


sudo pkg install telegraf

The configuration file is located at /etc/telegraf/telegraf.conf.

Add the inputs.stackdriver plug-in

First you need to configure the input plug-in to enable Telegraf to scrape the GCP data from your hosts. To do this, add the below code to the configuration file.


  project = "<<YOUR-PROJECT>>"

  metric_type_prefix_include = [

  interval = "1m"
  • Replace <<YOUR-PROJECT>> with the name of your GCP project.

The full list of data scraping and configuring options can be found here

Add the outputs.http plug-in

After you create the configuration file, configure the output plug-in to enable Telegraf to send your data to Logz.io in Prometheus-format. To do this, add the following code to the configuration file:

  url = "https://<<LISTENER-HOST>>:8053"
  data_format = "prometheusremotewrite"
     Content-Type = "application/x-protobuf"
     Content-Encoding = "snappy"
     X-Prometheus-Remote-Write-Version = "0.1.0"
     Authorization = "Bearer <<PROMETHEUS-METRICS-SHIPPING-TOKEN>>"

Replace the placeholders to match your specifics. (They are indicated by the double angle brackets << >>):

  • Replace <<PROMETHEUS-METRICS-SHIPPING-TOKEN>> with a token for the Metrics account you want to ship to.
    Here’s how to look up your Metrics token.
  • Replace <<LISTENER-HOST>> with the Logz.io Listener URL for your region, configured to use port 8052 for http traffic, or port 8053 for https traffic. For example, listener.logz.io if your account is hosted on AWS US East, or listener-nl.logz.io if hosted on Azure West Europe.
Start Telegraf
On Windows:
telegraf.exe --service start
On MacOS:
telegraf --config telegraf.conf
On Linux:

Linux (sysvinit and upstart installations)

sudo service telegraf start

Linux (systemd installations)

systemctl start telegraf
Check Logz.io for your metrics

Give your data some time to get from your system to ours, then log in to your Logz.io Metrics account, and open the Logz.io Metrics tab.