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

# Use data plane agent monitoring dashboards

Use these dashboards to monitor the health and performance of the Domino Data Plane Agents that manage executions and Kubernetes resources.

## Data plane health and connectivity

Track agent status and communication health. Identify outages, disconnections, and service disruptions.

**Panels:** Agent Health, Data Plane State

* **Indicators**

  * State: Healthy, Unhealthy, Not Running

  * Connectivity to Nucleus, RabbitMQ

* **What to watch**

  * Disruptions, extended outages, unstable state changes

* **Targets**

  * Availability >99.9%

  * Health check \<5 sec

## Message processing performance

Measure how efficiently agents process execution-related messages. Detect delays and capacity issues.

**Panels:** Message Duration, Throughput, p95 Response Times

* **Metrics**

  * p95 roundtrip \<2 sec

  * Average message duration \<1 sec

* **Bottlenecks**

  * Long durations: API or processing delays

  * Low throughput: Capacity issues

* **Message types**

  * CREATE, UPDATE, DELETE, GET

## Kubernetes API performance

Monitor how the agent interacts with the Kubernetes API. Spot slow operations and API-related failures.

**Panels:** Kube API Request Duration

* **Targets**

  * p95 \<500ms (general)

  * CREATE \<2 sec, UPDATE/DELETE \<1 sec, GET \<200ms

* **Operations**

  * Pod/Service/Config/Namespace management

* **Optimization**

  * Monitor API performance and network latency

  * Adjust RBAC and resource specs

## Resource utilization and scaling

Check agent CPU and memory usage. Identify overuse, leaks, or scaling limits.

**Panels:** Memory and CPU Use vs Requests and Limits

* **Targets**

  * Memory \<80% limit

  * CPU \<70% average, \<90% peak

* **Optimization**

  * Right-size resources

  * Watch for memory leaks

  * Set alerts on usage thresholds

## Next steps

* [Use execution monitoring dashboards](/cloud/admin/operations/grafana-workload-monitoring/execution-monitoring) - Track workload performance and identify issues early, and optimize execution across your deployment.

* [Work with model endpoint monitoring dashboards](/cloud/admin/operations/grafana-workload-monitoring/model-endpoint-monitoring) - Monitor the health, reliability, and performance of your model APIs to detect issues quickly and improve model serving.