auparse_metrics - Linux

Overview

auparse_metrics is a powerful command-line tool for parsing and analyzing Apache access logs, extracting valuable metrics to provide insights into web server performance and usage patterns. It’s ideal for system administrators, web developers, and anyone seeking to understand and optimize their web infrastructure.

Syntax

auparse_metrics [options] <access log file>

Options/Flags

  • -h, –help: Display usage help.
  • -v, –version: Print version information.
  • -s, –stats: Display general statistics about the log file, including total requests, HTTP status codes distribution, and common user agents.
  • -r, –response-time: Analyze and report on response times, showing average, median, and percentile values.
  • -c, –client-summary: Summarize requests by client IP, providing counts of requests, unique pages visited, and average response time.
  • -u, –uri-summary: Summarize requests by URI, showing counts of requests, unique clients, and average response time.
  • -p, –period: Specify duration (in minutes) for interval analysis. Default: 0 (entire log file).
  • -f, –file-format: Output format (text or CSV). Default: text.
  • -o, –output-file: Write output to a specified file instead of stdout.

Examples

Example 1: Display general statistics

auparse_metrics /var/log/apache2/access.log -s

Example 2: Analyze response times with 5-minute intervals

auparse_metrics /var/log/apache2/access.log -r -p 5

Example 3: Summarize requests by client IP

auparse_metrics /var/log/apache2/access.log -c

Common Issues

  • Missing or corrupt log file: Ensure the specified log file exists and is readable.
  • Incorrect output format: Use the -f option to specify the desired output format (text or CSV).
  • Slow performance: The analysis can be time-consuming for large log files. Consider using the -p option to analyze intervals instead of the entire file.

Integration

  • Combine with grep to filter log entries by specific criteria before analysis.
  • Pipe results to sort or awk for further data manipulation.
  • Use as part of cron job to automate regular log analysis and reporting.

Related Commands