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Home Operation and Maintenance Linux Operation and Maintenance How to use Debian Node.js logs for performance tuning

How to use Debian Node.js logs for performance tuning

Apr 12, 2025 pm 09:12 PM
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How to use Debian Node.js logs for performance tuning

Logging is crucial to optimize Node.js application performance on Debian systems. Reasonable log configuration and management can effectively monitor and improve application efficiency. The following steps and tips will help you:

1. Select the appropriate log library

Node.js provides multiple log libraries such as Winston, Pino, and Morgan. Winston is rich in features and supports multiple log levels, transmission methods and structured logging, which is a good choice.

2. Set log level

Log levels are classified according to message importance, and common levels include Error, Warn, Info, Debug, etc. Production environments usually only log Error or Warn level logs, and close Info or Debug level logs to reduce unnecessary disk writes.

3. Asynchronous logging

Asynchronous logging avoids blocking the main thread and improves application performance. Winston writes log files asynchronously by default, but in scenarios where logs need to be written immediately, synchronous writing can be configured.

4. Log rotation

Use log rotation tools (such as Winston-daily-rotate-file) to prevent excessive log files and ensure efficient use of disk space.

5. Log aggregation

Large distributed systems can consider outputting logs to a dedicated log server and using centralized log management tools such as ELK Stack for unified management to reduce the I/O pressure on applications.

6. Sample code (Winston)

The following example demonstrates how to use the Winston library for logging:

 const winston = require('winston');

const logger = winston.createLogger({
  level: 'info',
  format: winston.format.combine(
    winston.format.timestamp(),
    winston.format.json()
  ),
  transports: [
    new winston.transports.Console(),
    new winston.transports.File({ filename: 'app.log' })
  ]
});

logger.info('server is started, port 3000');
logger.error('Database connection failed');

7. Monitoring and Alarm

In conjunction with monitoring tools such as Prometheus and Grafana, track application performance metrics (such as CPU usage, memory, and response time) in real time to detect potential performance issues.

Through the above methods, you can effectively utilize the logging function of Node.js in Debian system for performance tuning to ensure efficient operation of the application.

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