Architecture — IoT PC Monitoring System Design

🏗️ Overview

The system architecture is designed to separate data collection, processing, storage, and analytics.

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🔄 Data Flow

HWiNFO → Python → InfluxDB Telegraf → InfluxDB InfluxDB → Slack / Metabase

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🧩 Components

1. Telegraf

• Collects CPU, Memory, Disk
• Low-frequency (60s)

2. HWiNFO

• Provides hardware sensor data
• High-frequency (3s)

3. Python Layer

• Parses sensor data
• Sends to InfluxDB
• Triggers alerts

4. InfluxDB

• Time-series storage

5. Slack

• Real-time alerting

6. Metabase

• Analytics and visualization

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⚖️ Design Decisions

Why Hybrid Pipeline?

• Telegraf cannot collect hardware sensors
• Python required for custom ingestion

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Why InfluxDB?

• Optimized for time-series
• High write performance

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Why Slack Alerts?

• Lightweight and real-time

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🚀 Next Step

We will implement the data collection layer in the next post.

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