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Monitoring

Performance Metrics​

Key Performance Indicators (KPIs)​

  • Message processing latency

  • API response time

  • Error rate

  • Throughput

  • Resource utilization

2. Monitoring Infrastructure

Monitoring Components​

  • Real-time dashboards

  • Logging systems

  • Alert mechanisms

  • Distributed tracing

Monitoring Code Example

python

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def monitor_performance():
    metrics = {
        'total_messages': count_messages(),
        'processing_time': calculate_average_latency(),
        'error_rate': calculate_error_percentage(),
        'system_load': get_system_resources()
    }
    log_metrics(metrics)
    trigger_alerts(metrics)

3. Logging Strategies

Logging Configurations​

  • Structured logging

  • Log rotation

  • Severity levels

  • Context preservation

Log Format


json

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{
    "timestamp": "2024-01-25T12:34:56Z",
    "level": "INFO",
    "message": "API request processed",
    "meta": {
        "user_id": "123",
        "response_time": 45,
        "status": "success"
    }
}

4. Alert Management

Alert Mechanisms​

  • Threshold-based alerts

  • Anomaly detection

  • Notification channels

  • Escalation policies

5. Performance Optimization

Optimization Techniques​

  • Caching strategies

  • Connection pooling

  • Asynchronous processing

  • Resource scaling