> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mage.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Monitoring

> You can monitor many metrics for each of your pipelines and blocks.

Soon, you'll be able to monitor aggregate metrics across all pipelines and
blocks.

<img alt="Monitoring" src="https://mage-ai.github.io/assets/monitoring.jpg" />

## Metrics

Here are the following metrics that are monitored for each pipeline and block:

* Pipeline runs completed successfully
* Pipeline runs failed
* Block runs completed successfully
* Block runs failed
* How long each block ran for
* CPU usage for Kubernetes block and pipeline runs in Mage Pro
* Memory usage for Kubernetes block and pipeline runs in Mage Pro
* *Data validation success for each block (coming soon)*
* *Data validation failure for each block (coming soon)*

For pipelines that run with the Kubernetes executor in Mage Pro, the pipeline
monitoring dashboard can show historical peak CPU and memory usage, sample
counts, and copied resource request and limit recommendations based on stored
run metrics. See [Monitoring with Prometheus](/observability/external/prometheus#kubernetes-resource-usage-in-mage-pro)
to set up Prometheus as the preferred resource usage source.