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Monitor CPU and Memory Usage of Webmin-Managed Server

S.C.O.R.E.ResilienceEnergy

Overview

Monitoring CPU and memory usage is crucial for maintaining the performance and stability of your Webmin-managed server. This capability allows homeowners to ensure their server operates efficiently, preventing slowdowns and potential outages.

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Benefits

  • Proactive performance management to avoid server issues.
  • Improved energy efficiency by identifying underutilized resources.
  • Enhanced server longevity through regular monitoring.

Intent

The purpose of this capability is to continuously monitor the CPU and memory usage of a Webmin-managed server. By leveraging this data, users can optimize their server’s performance and troubleshoot any potential bottlenecks.

Preconditions

  • Webmin installed and configured on the server.
  • Home Assistant integration with Webmin enabled.
  • Network connectivity between Home Assistant and the server.
  • Home Assistant installed and configured.
  • Integration available and authenticated: Zigbee2MQTT.
  • Device installed and reachable: Energy Monitoring.

Actors

  • Homeowner managing the server
  • Family member responsible for home tech
  • IT enthusiast monitoring home infrastructure

Trigger

The capability is triggered by scheduled checks on CPU and memory usage at defined intervals.

Workflow Diagram

flowchart TD
    A[Scheduled Check] -->|Check CPU & Memory| B{{Usage Above Threshold?}}
    B -->|Yes| C[Alert User]
    C --> D[User Takes Action]
    B -->|No| E[Continue Monitoring]

Workflow Description

1. Initiate Monitoring

The monitoring process begins with Home Assistant querying the Webmin API for current CPU and memory usage metrics.

2. Analyze Data

Home Assistant processes the retrieved data to evaluate whether CPU or memory usage exceeds predefined thresholds.

3. Notify User

If usage is above the threshold, the system sends an alert to the user via their preferred notification method.

4. User Action

The user reviews the alert and can take necessary actions such as optimizing server processes or shutting down unused services.

5. Log Data

All monitoring data and user actions are logged for future reference and performance analysis.

Postconditions

After monitoring, the user has a clear understanding of their server’s performance, enabling informed decisions to optimize resource usage.

Optional Enhancements

  • Integrate with capability to adjust server settings based on usage.
  • Implement historical data analysis for trends over time.
  • Add visual dashboards for real-time monitoring.

Recommended Components

Recommended ApplicationsRecommended IntegrationsRecommended Devices
Home AssistantZigbee2MQTT, ESPHomeEnergy Monitoring

Source Examples