Node.js monitoring involves tracking, analyzing, and optimizing the performance of Node.js applications. It helps identify bottlenecks, errors, and other issues within the application, ensuring it runs smoothly and efficiently.

Monitoring is crucial for Node.js applications to identify real-time performance issues, memory leaks, and errors. It helps optimize resource usage, improve response times, and enhance user experience.

Key metrics include CPU usage, memory usage, response times, error rates, request throughput, event loop latency, and garbage collection metrics.

Alerting and notifications: Set up alerts for critical metrics. Configure notifications to be sent via email, SMS, or other communication channels so that your team can respond promptly to issues.

Real-time application monitoring: Implement real-time monitoring to detect issues as they happen. Real-time monitoring lets you respond promptly to problems, minimizing downtime and ensuring a seamless user experience.

Track key metrics: Monitor critical metrics such as CPU usage, memory usage, response times, error rates, and request throughput. These metrics offer a fundamental understanding of your application's health and performance, enabling you to pinpoint and address bottlenecks.

Log aggregation: Centralize logs from various services and instances. Log aggregation tools help you consolidate logs, making it easier to analyze them for patterns, errors, and security issues. Proper log management is essential for diagnosing issues and maintaining security.

Error handling and logging: Implement robust error handling and logging mechanisms within your Node.js application. Structured error handling and efficient logging practices are invaluable for diagnosing issues, understanding user behavior, and improving overall application stability.