IIS Log Analyzer

This tool analyzes IIS W3C web server logs to deliver operational insights from raw log data. It accepts standard IIS log files, including common and extended fields, and outputs structured results suitable for dashboards and reports. By converting lines of log data into aggregated metrics, it helps administrators assess traffic, detect anomalies, and measure performance without manual scripting or ad-hoc parsing.
Conceptually, it parses fields such as date, time, client IP (c-ip), user identifier, HTTP method, URI stem, status code, bytes transferred, and time_taken when present. It supports one or more log files, optional filters (date range, IP, method, status codes), and grouping by hour or day. It then aggregates totals, computes distributions, and prepares ready-to-export datasets suitable for BI tooling.
Users include web administrators, DevOps engineers, and site reliability engineers who need fast visibility into IIS activity. The tool delivers reliable, reproducible results, enabling rapid incident triage, capacity planning, and performance optimization. By standardizing log analysis, it reduces manual effort and lowers the risk of overlooking endemic issues across multiple servers.
Core features include streaming parsing to handle large files, total requests, unique URL counts, per-status code distributions, hourly traffic trends, top endpoints by request count, and timing statistics (average/median time_taken). Outputs can be exported as CSV or JSON for downstream processing, and the system can generate anomaly alerts and trend reports for ongoing monitoring.