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https://github.com/asimonson1125/asimonson1125.github.io.git
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139 lines
3.9 KiB
Markdown
139 lines
3.9 KiB
Markdown
# Service Status Monitor
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## Overview
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Server-side monitoring system that checks the availability of asimonson.com services every 2 hours and provides uptime statistics.
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## Architecture
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### Backend Components
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#### 1. `monitor.py` - Service Monitoring Module
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- **Purpose**: Performs automated health checks on all services
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- **Check Interval**: Every 2 hours (7200 seconds)
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- **Services Monitored**:
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- asimonson.com
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- files.asimonson.com
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- git.asimonson.com
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- pass.asimonson.com
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- ssh.asimonson.com
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**Features**:
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- Tracks response times and HTTP status codes
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- Calculates uptime percentages for multiple time periods (24h, 7d, 30d, all-time)
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- Persists data to PostgreSQL (`service_checks` table) via `DATABASE_URL` env var
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- Gracefully degrades when no database is configured (local dev)
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- Runs in a background thread
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#### 2. `app.py` - Flask Integration
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- **New API Endpoint**: `/api/status`
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- Returns current status for all services
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- Includes uptime statistics
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- Provides last check and next check times
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- **Auto-start**: Monitoring begins when the Flask app starts
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### Frontend Components
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#### 1. `templates/status.html` - Status Page Template
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- Displays real-time service status
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- Shows uptime percentages (24h, 7d, 30d, all-time)
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- Displays response times and status codes
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- Shows total number of checks performed
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- Manual refresh button
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- Auto-refreshes every 5 minutes
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#### 2. `static/js/status.js` - Frontend Logic
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- Fetches status data from `/api/status` API
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- Updates UI with service status and uptime
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- Handles error states gracefully
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- Auto-refresh every 5 minutes
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#### 3. `static/css/App.css` - Styling
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- Color-coded status indicators:
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- Green: Operational
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- Yellow: Degraded/Timeout
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- Red: Offline
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- Responsive grid layout
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- Dark theme matching existing site design
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## Data Storage
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Check history is stored in a PostgreSQL `service_checks` table. The connection is configured via the `DATABASE_URL` environment variable (e.g. `postgresql://user:pass@host:5432/dbname`).
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```sql
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CREATE TABLE service_checks (
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id SERIAL PRIMARY KEY,
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service_id VARCHAR(50) NOT NULL,
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timestamp TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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status VARCHAR(20) NOT NULL,
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response_time INTEGER,
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status_code INTEGER,
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error TEXT
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);
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```
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The table and index are created automatically on startup. If `DATABASE_URL` is not set, the monitor runs without persistence (useful for local development).
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## Status Types
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- **online**: HTTP status 2xx-4xx, service responding
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- **degraded**: HTTP status 5xx or slow response
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- **timeout**: Request exceeded timeout limit (10 seconds)
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- **offline**: Unable to reach service
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- **unknown**: No checks performed yet
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## Uptime Calculation
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Uptime percentage = (number of online checks / total checks) × 100
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Calculated for:
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- Last 24 hours
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- Last 7 days
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- Last 30 days
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- All-time (since monitoring began)
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## Usage
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### Starting the Server
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```bash
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cd src
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python3 app.py
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```
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The monitoring will start automatically and perform an initial check immediately, then every 2 hours thereafter.
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### Accessing the Status Page
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Navigate to: `https://asimonson.com/status`
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### API Access
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Direct API access: `https://asimonson.com/api/status`
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Returns JSON with current status and uptime statistics for all services.
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## Configuration
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To modify monitoring behavior, edit `src/monitor.py`:
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```python
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# Change check interval (in seconds)
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CHECK_INTERVAL = 7200 # 2 hours
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# Modify service list
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SERVICES = [
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{
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'id': 'main',
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'name': 'asimonson.com',
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'url': 'https://asimonson.com',
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'timeout': 10 # seconds
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},
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# Add more services here
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]
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```
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## Notes
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- First deployment will show limited uptime data until enough checks accumulate
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- Historical data is preserved across server restarts (stored in PostgreSQL)
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- Page auto-refreshes every 5 minutes to show latest server data
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- Manual refresh button available for immediate updates
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- All checks performed server-side (no client-side CORS issues)
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