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Mechanisms for storing and restoring analytical datasets on disk to maintain state across sessions.
Distinct from Data Persistence: Distinct from general Data Persistence: focuses on preserving analytical state for log processing rather than general database modeling.
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This project is a terminal-based log analyzer and real-time traffic monitoring system designed for web server environments. It processes raw server access logs to generate structured statistical insights, providing visibility into visitor behavior, bandwidth usage, and request latency. The tool functions as a high-performance utility capable of handling large-scale datasets through multi-threaded parsing and memory-efficient data structures. The software distinguishes itself by offering both an interactive terminal interface and a web-based dashboard that updates in real-time via WebSocket st
Maintains analysis state across sessions by storing and restoring datasets on disk to avoid redundant processing after restarts.