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DC/OS (the Distributed Cloud Operating System) is an open-source, distributed operating system based on the Apache Mesos distributed systems kernel. 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 Mesosphere DC/OS metrics to, you need to add the inputs.dcos and outputs.http plug-ins to your Telegraf configuration file.

Configure Telegraf to send your metrics data to

Set up Telegraf v1.17 or higher on a dedicated server

For Windows


After downloading the archive, extract its content 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.dcos plug-in

First you need to configure the input plug-in to enable Telegraf to scrape the Mesosphere DC/OS data from your hosts. To do this, add the following code to the configuration file:

## The DC/OS cluster URL.
cluster_url = "https://dcos-master-1"

## The ID of the service account.
service_account_id = "telegraf"
## The private key file for the service account.
service_account_private_key = "/etc/telegraf/telegraf-sa-key.pem"

## Path containing login token. If set, will read on every gather.
# token_file = "/home/dcos/.dcos/token"

## In all filter options if both include and exclude are empty all items
## will be collected. Arrays may contain glob patterns.
## Node IDs to collect metrics from. If a node is excluded, no metrics will
## be collected for its containers or apps.
# node_include = []
# node_exclude = []
## Container IDs to collect container metrics from.
# container_include = []
# container_exclude = []
## Container IDs to collect app metrics from.
# app_include = []
# app_exclude = []

## Maximum concurrent connections to the cluster.
# max_connections = 10
## Maximum time to receive a response from cluster.
# response_timeout = "20s"

## Optional TLS Config
# tls_ca = "/etc/telegraf/ca.pem"
# tls_cert = "/etc/telegraf/cert.pem"
# tls_key = "/etc/telegraf/key.pem"
## If false, skip chain & host verification
# insecure_skip_verify = true

## Recommended filtering to reduce series cardinality.
# [inputs.dcos.tagdrop]
# path = ["/var/lib/mesos/slave/slaves/*"]

The database name is only required for instantiating a connection with the server and does not restrict the databases that we collect metrics from. 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 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"

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

  • Replace <<LISTENER-HOST>> with the Listener URL for your region, configured to use port 8052 for http traffic, or port 8053 for https traffic. For example, if your account is hosted on AWS US East, or if hosted on Azure West Europe.
  • 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.

Check for your metrics

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