📊 Overview
Performance monitoring is critical to ensure the stability, scalability, and efficiency of OSS Project B. This guide outlines key metrics, tools, and best practices to help you effectively track and optimize system performance.

Key Metrics to Monitor

  • CPU Usage 🚀
    • Monitor utilization to identify bottlenecks.
    • Use tools like top or htop for real-time insights.
  • Memory Consumption 💾
    • Track RAM and swap usage to prevent out-of-memory errors.
    • Tools: free -m, vmstat.
  • Disk I/O 📁
    • Analyze read/write speeds and latency.
    • Tools: iostat, dstat.
  • Network Latency 🌐
    • Measure response times and packet loss.
    • Tools: ping, traceroute.

Monitoring Tools & Integrations

🔧 Built-in Tools

  • Prometheus for metrics collection.
  • Grafana for visualization.
  • Elasticsearch for log analysis.

🔗 For more details on setting up monitoring infrastructure, see OSS Project B Overview.

Best Practices

  1. Set Thresholds ⚠️
    • Define alerts for critical metrics (e.g., CPU > 90%).
  2. Regular Audits 📊
    • Schedule periodic performance reviews.
  3. Scalability Testing 📈
    • Simulate load with tools like JMeter or Locust.

Visual Aids

monitoring_dashboard
system_architecture

📌 Note: Replace <关键词> with specific terms related to your monitoring needs (e.g., load_balancing, database_performance). For further assistance, explore performance optimization guides.