Introduction to Autopilot Logger

The autopilot-logger is a powerful tool designed to improve the monitoring and logging capabilities of your applications. With a range of useful APIs, it allows developers to effectively track, analyze, and troubleshoot the activity within their applications. This blog post introduces the autopilot-logger and provides a comprehensive guide to its APIs, complete with code snippets and an example application.

Getting Started with autopilot-logger

To start using autopilot-logger, install it via npm:

  
    npm install autopilot-logger --save
  

Core APIs and Code Examples

1. logInfo()

The logInfo() method allows you to log informational messages:

  
    const logger = require('autopilot-logger');
    logger.logInfo('Application started successfully.');
  

2. logError()

Use logError() to log error messages:

  
    logger.logError('An unexpected error occurred.');
  

3. logWarning()

The logWarning() method logs warning messages:

  
    logger.logWarning('This is a warning message.');
  

4. logDebug()

For debugging purposes, logDebug() provides detailed logs:

  
    logger.logDebug('Debugging authentication flow.');
  

5. setLogLevel()

The setLogLevel() method sets the level of logs to be captured (e.g., INFO, ERROR, DEBUG):

  
    logger.setLogLevel('DEBUG');
  

Example Application Using autopilot-logger

Below is an example of a simple Node.js application that leverages various autopilot-logger APIs:

  
    const express = require('express');
    const logger = require('autopilot-logger');

    const app = express();

    // Set log level
    logger.setLogLevel('DEBUG');

    app.get('/', (req, res) => {
        logger.logInfo('Received request for homepage.');
        res.send('Welcome to the Home Page');
    });

    app.get('/error', (req, res) => {
        logger.logError('Simulated error route.');
        res.status(500).send('This is an error route.');
    });

    app.listen(3000, () => {
        logger.logInfo('Server is running on port 3000');
    });
  

Using these APIs, developers can ensure their applications are well-monitored, leading to quicker issue resolution and improved performance.

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