Manage OpenTelemetry Collectors at scale with Ansible
You can scale the deployment of OpenTelemetry Collector across multiple Linux hosts through Ansible, to function both as gateways and agents within your observability architecture. Using the OpenTelemetry Collector in this dual capacity enables a robust collection and forwarding of metrics, traces, and logs to analysis and visualization platforms.
We outline a strategy for deploying and managing the OpenTelemetry Collector’s scalable instances throughout your infrastructure using Ansible. In the following example, we’ll use Grafana as the target backend for metrics.
Prerequisites
Before we begin, make sure you meet the following requirements:
- Ansible installed on your base system
- SSH access to two or more Linux hosts
- Prometheus configured to gather your metrics
Install the Grafana Ansible collection
The OpenTelemetry Collector role is provided through the Grafana Ansible collection as of release 4.0.
To install the Grafana Ansible collection, run this command:
ansible-galaxy collection install grafana.grafana
Create an Ansible inventory file
Next, gather the IP addresses and URLs associated with your Linux hosts and create an inventory file.
Create an Ansible inventory file.
An Ansible inventory, which resides in a file named
inventory
, lists each host IP on a separate line, like this (8 hosts shown):10.0.0.1 # hostname = ubuntu-01 10.0.0.2 # hostname = ubuntu-02 10.0.0.3 # hostname = centos-01 10.0.0.4 # hostname = centos-02 10.0.0.5 # hostname = debian-01 10.0.0.6 # hostname = debian-02 10.0.0.7 # hostname = fedora-01 10.0.0.8 # hostname = fedora-02
Create an
ansible.cfg
file within the same directory asinventory
, with the following values:[defaults] inventory = inventory # Path to the inventory file private_key_file = ~/.ssh/id_rsa # Path to private SSH Key remote_user=root
Use the OpenTelemetry Collector Ansible role
Next, define an Ansible playbook to apply your chosen or created OpenTelemetry Collector role across your hosts.
Create a file named deploy-opentelemetry.yml
in the same directory as your
ansible.cfg
and inventory
files:
- name: Install OpenTelemetry Collector
hosts: all
become: true
tasks:
- name: Install OpenTelemetry Collector
ansible.builtin.include_role:
name: opentelemetry_collectorr
vars:
otel_collector_receivers:
hostmetrics:
collection_interval: 60s
scrapers:
cpu: {}
disk: {}
load: {}
filesystem: {}
memory: {}
network: {}
paging: {}
process:
mute_process_name_error: true
mute_process_exe_error: true
mute_process_io_error: true
processes: {}
otel_collector_processors:
batch:
resourcedetection:
detectors: [env, system]
timeout: 2s
system:
hostname_sources: [os]
transform/add_resource_attributes_as_metric_attributes:
error_mode: ignore
metric_statements:
- context: datapoint
statements:
- set(attributes["deployment.environment"],
resource.attributes["deployment.environment"])
- set(attributes["service.version"],
resource.attributes["service.version"])
otel_collector_exporters:
prometheusremotewrite:
endpoint: https://<prometheus-url>/api/prom/push
headers:
Authorization: 'Basic <base64-encoded-username:password>'
otel_collector_service:
pipelines:
metrics:
receivers: [hostmetrics]
processors:
[
resourcedetection,
transform/add_resource_attributes_as_metric_attributes,
batch,
]
exporters: [prometheusremotewrite]
Note
Adjust the configuration to match the specific telemetry you intend to collect as well as where you plan to forward it to. This configuration snippet is a basic example designed for collecting host metrics that get forwarded to Prometheus.The previous configuration would provision the OpenTelemetry Collector to collect metrics from the Linux host.
Running the Ansible playbook
Deploy the OpenTelemetry Collector across your hosts by running the following command:
ansible-playbook deploy-opentelemetry.yml
Check your metrics in the backend
After your OpenTelemetry Collectors start sending metrics to Prometheus, follow these steps to visualize them in Grafana:
Set up Grafana
Install Docker: Make sure Docker is installed on your system.
Run Grafana Docker Container: Start a Grafana server with the following command, which fetches the latest Grafana image:
docker run -d -p 3000:3000 --name=grafana grafana/grafana
Access Grafana: Open http://localhost:3000 in your web browser. The default login username and password are both
admin
.Change passwords when prompted on first login – pick a secure one!
For other installation methods and more detailed instructions, refer to the official Grafana documentation.
Add Prometheus as a data source
- In Grafana, navigate to Connections > Data Sources.
- Click Add data source and select Prometheus.
- In the settings, enter your Prometheus URL, for example,
http://<your_prometheus_host>
, along with any other necessary details. - Select Save & Test.
Explore your metrics
Go to the Explore page
In the Query editor, select your data source and enter the following query
100 - (avg by (cpu) (irate(system_cpu_time{state="idle"}[5m])) * 100)
This query calculates the average percentage of CPU time not spent in the “idle” state, across each CPU core, over the last 5 minutes.
Explore other metrics and create dashboards to gain insights into your system’s performance.
This blog post illustrated how you can configure and deploy multiple OpenTelemetry Collectors across various Linux hosts with the help of Ansible, as well as visualize collected telemetry in Grafana. Incase you find this useful, GitHub repository for OpenTelemetry Collector role for detailed configuration options. If you have questions, You can connect with me using my contact details at my GitHub profile @ishanjainn.