---
title: Monitoring page
slug: monitoring-page
docTags: 
createdAt: 2026-06-26T08:44:55.769Z
---

The **Render Nodes** monitoring page provides a real-time tracking interface for your active and historical decentralized compute allocations. Found under **Render** > **Render Nodes** in the Cube portal sidebar, this dashboard gives you complete transparency into telemetry metrics, infrastructure burns, and job statuses.

![](https://api.archbee.com/api/optimize/bdsKzi0GSJqADE8y4GkJt/QJDToTmdnHoA2lR7Qkobd_image.png)

## View Toggle: Current vs. Recent

At the top center of the portal layout, you can quickly flip between active deployments and past execution summaries:

- **Current View:** The real-time operations dashboard detailing telemetry data for all leased nodes currently processing or waiting for rendering jobs.
- **Recent View:** A comprehensive logging table showing a breakdown of previous render tasks. This history tracker provides detailed data per session, including:

![](https://api.archbee.com/api/optimize/bdsKzi0GSJqADE8y4GkJt/c3ZTnlFywFqJQWLawSGVm_image.png)

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**Session UUID & Node ID:** Distinct identifiers for the container environment and the specific hosting provider.
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**Timeline Logs:** Explicit Started and Finished timestamps alongside a calculated execution Duration.
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**Financial & Status Logs:** The cumulative accrued Amount charged for the session alongside finalized exit states (Normal vs. Error).
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**Actions:** Access to granular text-based logs.
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## Cluster Overview Sidebar

When viewing your active nodes, the sidebar on the left provides an instant high-level diagnostic layout of your leased network slice:

- **Nodes (GPU):** Displays the count of currently connected worker instances and GPU count (e.g., 4(5) nodes online and 5 GPU's).

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- **Burn Rate:** Tracks your real-time total operational infrastructure cost per hour.
- **Telemetry Category Selection Filters:** Clicking these cards alters the main grid view layout to show dedicated real-time micro-charts for specific metrics:
  - **All Nodes:** Restores a comprehensive overview of every machine, showing consolidated compact metric widgets for initialization states and asset ingestion progress.

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**GPU:** Isolates real-time core processing load graphs and current hardware power draws measured in Watts.
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**VRAM:** Displays dedicated memory consumption lines showing active buffer loads over host video memory capacity.
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**CPU:** Visualizes host processing utilization curves.
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**RAM:** Highlights active cluster system memory usage profiles over time.
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- **GPU Fleet Index:** Breaks down your current cluster slice hardware footprint by chip model distribution (e.g., 4x RTX 4090, 1x RTX 5090).

## Dynamic Telemetry Grid Views

The primary workspace adapts dynamically based on your selected sidebar telemetry filter category, displaying active hosts as dedicated diagnostic cards.

### Telemetry Initialization and Loading States

When a node is first provisioned or transitions between tasks, the card reflects its onboarding pipeline as shown below:

![](https://api.archbee.com/api/optimize/bdsKzi0GSJqADE8y4GkJt/c0E19hcBCqJh7eoHE2JIe_image.png)

- **Starting Up / Waiting for Telemetry:** Indicates the remote host is initializing the secure compute container or syncing network dependencies before streaming analytical data.
- **Hardware Tags:** Each header explicitly maps out the server's node number, unique infrastructure hash, and assigned GPU architecture variant (e.g., RTX 4090 or RTX 5090).

### Consolidated Dashboard Layout

When navigating via the **All Nodes** default view, each node provides an aggregated, four-quadrant mini-chart board:

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- **Task Assignment & Matrix Tracking:** Displays the active job hash (e.g., Job bd6311b5) along with a real-time progress register tracking the current frame sequence number being processed.
- **Four-Point Metrics:** Integrates layout graphs for **GPU** core load, dedicated **VRAM** usage, **CPU** multi-thread capacity, and system host **RAM** allocation percentages.

## Terminating Nodes and Managing Sessions

The platform allows for granular control over your cluster slice, enabling you to instantly spin down individual worker nodes if your processing requirements change mid-job or a specific node is experiencing issues.

### Node Disconnection

Each active node card features a termination option directly within its header:

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- **The "Stop Node" Action:** Hovering over the **✕** icon in the upper-right corner of any active card reveals a "Stop node" tooltip.
- **Decentralized Redundancy:** Clicking the close button triggers a safety confirmation modal to prevent accidental data loss. The prompt clarifies exactly how the termination impacts your project pipeline (e.g., *"Stop node #9961? The job keeps rendering on the other nodes."*).

::Image[]{src="https://api.archbee.com/api/optimize/bdsKzi0GSJqADE8y4GkJt/SF9lcW3Xyf84njZV_2xgI_image.png" size="80" isUploading="false" width="708" height="497" darkWidth="708" darkHeight="497" showCaption="false"}

- **Execution:**
  - Clicking **Cancel** returns you to the active telemetry grid.
  - Clicking the red **Stop node** action button immediately kills the secure container lease on that specific machine, updates your live **Nodes (GPU)** count, and stops the financial burn rate for that hardware instance. The remaining nodes in your cluster will seamlessly continue processing any distributed rendering frames.

