Day 10/90: Log Analyzer and Report Generator 📊 #90DaysOfDevOps

Day 10: Log Analyzer and Report Generator 🚀

Hello DevOps enthusiasts! 👋 Welcome to Day 10 of the #90DaysOfDevOps challenge. Today, we're creating a log analysis tool.

Log Analyzer Script 💻

#!/bin/bash

# Check arguments
if [ $# -ne 1 ]; then
    echo "Usage: $0 <log_file>"
    exit 1
fi

log_file="$1"
report_file="report_$(date +%Y%m%d_%H%M%S).txt"

# Check if log file exists
if [ ! -f "$log_file" ]; then
    echo "Error: Log file not found"
    exit 1
fi

# Generate report
{
    echo "Log Analysis Report"
    echo "==================="
    echo "Date: $(date)"
    echo "Log File: $log_file"
    echo "Total Lines: $(wc -l < "$log_file")"
    echo "Error Count: $(grep -c "ERROR" "$log_file")"

    echo -e "\nTop 5 Errors:"
    grep "ERROR" "$log_file" | sort | uniq -c | sort -nr | head -5

    echo -e "\nCritical Events:"
    grep -n "CRITICAL" "$log_file"
} > "$report_file"

# Archive log
mkdir -p processed_logs
cp "$log_file" "processed_logs/$(basename "$log_file").$(date +%Y%m%d)"

echo "Report generated: $report_file"

Script Features 🔧

1. Analysis Capabilities

   • Error counting
   • Critical event detection
   • Top error identification
   • Line counting

2. Report Generation

   • Timestamped reports
   • Organized sections
   • Statistical analysis

3. Log Management

   • Automatic archiving
   • Date-based organization
   • Original file preservation

Key Takeaways 💡

• Log analysis is crucial for troubleshooting
• Pattern matching helps find issues
• Reports should be well-organized
• Archive management is important

Bash #DevOps #Monitoring #Linux #90DaysOfDevOps

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This is Day 10 of my #90DaysOfDevOps journey. Keep analyzing and monitoring!