Datadog Agent is a lightweight software that runs on your hosts. It collects events and metrics from your hosts and sends them to Datadog, where you can analyze and visualize them. The agent is crucial for monitoring the performance of your infrastructure and applications.
One common issue users face is the Datadog Agent not collecting custom metrics. This can be frustrating as it prevents you from gaining insights into specific application behaviors or infrastructure performance that are not covered by default metrics.
The primary reason for the agent not collecting custom metrics is often due to improper configuration or insufficient permissions. Custom metrics need to be explicitly defined and the agent must have access to the data source from which these metrics are derived.
Ensure that the custom metrics are correctly defined in the configuration files. Check the syntax and paths specified for any discrepancies.
The agent must have the necessary permissions to access the data source. This could involve setting appropriate user permissions or network access rules.
First, check the configuration file where custom metrics are defined. This is typically located in the /etc/datadog-agent/conf.d/ directory. Ensure that the YAML syntax is correct and that the metrics are properly specified.
custom_metrics:
- name: my_custom_metric
type: gauge
value: "my_metric_value"
Ensure the Datadog Agent has the necessary permissions to access the data source. This might involve setting the correct user permissions or ensuring the agent runs with sufficient privileges. You can verify the agent's permissions by checking the user under which it runs:
ps aux | grep datadog-agent
Verify that the data source is accessible from the host where the Datadog Agent is running. You can use network tools like curl or ping to test connectivity:
curl http://your-data-source-endpoint
For more detailed guidance, refer to the official Datadog Agent documentation. If you continue to experience issues, consider reaching out to Datadog Support for further assistance.
(Perfect for DevOps & SREs)
(Perfect for DevOps & SREs)
