Apache Log Analyzer

The Apache Log Analyzer ingests Apache access logs to produce structured, queryable insights about site traffic and reliability. It supports standard formats such as Combined and Common, along with customizable formats via regex overrides. The tool extracts fields like IP, timestamp, request, status, bytes, referrer, and user agent, then normalizes timestamps to ISO 8601 for consistent time-series analysis. Core outputs include hits, unique visitors, error rate, data volume, and distribution by status codes, with optional breakdowns by endpoint, referrer, and user-agent. Advanced users can apply filters (e.g., status codes 4xx/5xx, specific endpoints) and perform time-based aggregations (hourly, daily) to identify trends. Anomaly detection compares current windows against baselines to highlight sudden spikes in traffic or errors. Outputs are exportable as JSON or CSV for integration with dashboards, alerting systems, or data pipelines. The tool is designed for developers, site reliability engineers, and operations teams seeking rapid, reproducible log analysis without scripting. It handles large files via streaming and provides robust handling for malformed lines or timezones, ensuring results remain dependable across deployments and regions. By providing a consistent metric set and flexible formatting, it supports capacity planning, incident analysis, and performance tuning across diverse Apache deployments.