# Observability

This section describes how to configure monitoring and observability for Trilio for Kubernetes (T4K). T4K exposes Prometheus metrics and integrates with Grafana dashboards so you can track backup activity, job status, storage consumption, and system health.

## How It Works

The **Trilio Metrics Exporter** is installed automatically as a component of T4K. It exports performance metrics in Prometheus format using the official Prometheus client library. T4K pre-configures standard Prometheus scrape annotations on the exporter pod — if you already have Prometheus running in the cluster, it will start collecting T4K metrics without any configuration change.

For a full list of exported metrics, see [Exported Prometheus Metrics](/kubernetes/configuration/observability/triliovault-prometheus-metrics.md).

{% hint style="info" %}
On OpenShift, leveraging the built-in Prometheus instance in `openshift-monitoring` requires extra permissions for the `openshift-monitoring:prometheus-k8s` service account to pull metrics from the namespace where T4K is deployed.
{% endhint %}

## In This Section

* [Observability of Trilio with Prometheus and Grafana](/kubernetes/configuration/observability/logging-monitoring-and-measuring.md) — Configure Prometheus scraping and import the T4K Grafana dashboards.
* [Observability of Trilio with OpenShift Monitoring](/kubernetes/configuration/observability/observability-of-trilio-with-openshift-monitoring.md) — Set up monitoring using the built-in OpenShift monitoring stack.
* [Exported Prometheus Metrics](/kubernetes/configuration/observability/triliovault-prometheus-metrics.md) — Reference for all Prometheus metrics exported by T4K.
* [T4K Integration with Observability Stack](/kubernetes/configuration/observability/t4k-integration-with-observability-stack.md) — Deploy a full observability stack (Prometheus, Grafana, Alertmanager) integrated with T4K.


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