In this article, I demonstrate how to generate metrics and create alert on Prometheus from the pod logs.
Fluentd is an open-source data collector used to unify logging infrastructure.
By the end of this article, you'll have a clear understanding of how to set up Prometheus and Fluentd in a Kubernetes environment to monitor pod logs, generate metrics, and create custom alerts.
The configuration includes a source for reading logs, filters for processing and filtering logs, and a match directive for outputting logs.
After installation, patch the values.yaml file to configure. Be sure to replace "pod-name" with the actual name of your pod.
You can now view metrics.
Now that Prometheus is installed and configured, we need to view the metrics in the Prometheus UI.
If everything has been successful up to this point, you can create an alert for the metric on Prometheus.
In my next article, "How to Send Prometheus Alerts as Email and Teams Channel Notifications," we'll explore how to set up alerting for critical issues.
With these basics covered, you're well on your way to monitoring and managing your Kubernetes environment effectively.