Error Log Analyzer

Error Log Analysis Guide

Error log analysis is crucial for maintaining application health and identifying issues before they impact users. This tool helps parse common log formats and extract meaningful insights from error patterns.

Supported Log Formats

• Apache Error Log: Standard Apache server error logging format
• Nginx Error Log: Nginx web server error log format
• PHP Error Log: PHP application error logging
• Node.js Log: JavaScript/Node.js application logs
• Laravel Log: Laravel framework specific log format

Analysis Features

• Error frequency and pattern detection
• Timeline analysis of error occurrences
• File and line number extraction
• Error severity classification
• Common error pattern identification

Common Error Types

• Database Errors: Connection failures, query errors, timeouts
• File System Errors: Permission issues, missing files, disk space
• Memory Errors: Out of memory, memory leaks, buffer overflows
• Network Errors: Connection timeouts, DNS resolution failures
• Application Errors: Uncaught exceptions, logic errors, validation failures

Best Practices for Log Analysis

• Regularly monitor error logs for patterns
• Set up automated alerts for critical errors
• Categorize errors by severity and frequency
• Track error trends over time
• Correlate errors with deployment events
• Use structured logging for better analysis