ErrorScope is a Bash-based Linux log monitoring utility that scans multiple system log files, detects errors, warnings, and suspicious events, and generates structured HTML reports for rapid troubleshooting and system analysis.
Designed as a practical Linux administration project, ErrorScope demonstrates log analysis, pattern matching, automation, and report generation using standard Linux tools.
- 🚨 Monitors multiple Linux system log files
- 🔍 Detects errors, warnings, and suspicious log entries
- ⚙️ Uses customizable detection patterns defined in
patterns.conf - 📊 Generates professional HTML reports
- 📝 Highlights occurrence counts and sample log entries
- 📂 Organizes findings into logical categories
- ⚡ Lightweight and cron-friendly
- 🐧 Compatible with most Linux distributions
ErrorScope/
├── errorscope.sh
├── patterns.conf
├── reports/
└── README.md
Recommendation: Rename the script to
errorscope.shif it currently has a different name so it matches the repository branding.
Clone the repository:
git clone https://github.com/Kachinonye/ErrorScope.gitNavigate to the project directory:
cd ErrorScopeMake the script executable:
chmod +x errorscope.shRun the monitor:
./errorscope.shErrorScope scans the configured log files, matches entries against the patterns defined in patterns.conf, and generates an HTML report summarizing the findings.
ErrorScope can detect:
- System errors
- Warning messages
- Failed services
- Authentication failures
- Security-related events
- Custom log patterns defined by the administrator
Detection patterns can easily be customized by editing:
patterns.conf
This project showcases practical experience with:
- Linux System Administration
- Bash Shell Scripting
- Log Analysis
- Pattern Matching
- HTML Report Generation
- Automation
- System Troubleshooting
- Technical Documentation
ErrorScope is useful for:
- Linux System Administrators
- DevOps Engineers
- Security Analysts
- Home Lab Environments
- Server Troubleshooting
- System Health Reviews
- Linux Administration Training
Future releases may include:
- Email notifications
- Slack and Discord integration
- JSON report export
- Scheduled report generation
- Severity scoring
- Interactive HTML dashboard
- Trend analysis
- Multi-server log aggregation
Kachinonye Nmezi
Linux Administrator | Bash Automation Specialist | AWS Cloud Learner
GitHub: https://github.com/Kachinonye
LinkedIn: https://www.linkedin.com/in/kachinonye-nmezi-74170723b/
Licensed under the MIT License.