Log Analyzer CLI Tool
A CLI tool that analyzes log files for patterns, errors, and anomalies with filtering, aggregation, and summary reports. Supports multiple log formats, time range filtering, and exports findings as...
Target user
DevOps engineers and developers who troubleshoot via log files
Problem
DevOps engineers need to quickly analyze large log files for errors, patterns, and anomalies without sending logs to expensive third-party analysis services.
Requirements
- Parse and filter log entries by level
- Search for patterns and error messages
- Aggregate errors by frequency and type
- Filter by time range and severity
- Export analysis summary as report
Core technologies
Node.js, TypeScript, stream
Completion criteria
Users can analyze log files for patterns, errors, and anomalies with filtering, aggregation, and structured report export.
Optional extensions
- Add real-time log tailing
- Implement anomaly detection
- Add multi-file correlation
- Support custom log parsers
Project phases
Phase 1: Phase 1: Log Parsing
Tasks: Set up streaming log parser, Support multiple log formats, Implement level and pattern filtering, Build time range filtering
Phase 2: Phase 2: Analysis and Aggregation
Tasks: Implement error frequency analysis, Add pattern aggregation, Build anomaly detection heuristics, Create summary statistics
Phase 3: Phase 3: Reporting
Tasks: Build structured report generation, Add JSON and HTML export, Implement interactive mode, Create documentation