log-parser

To extract errors and warnings from application log files, run the Python-based parser via CLI to capture timestamps, log levels, and messages, producing a structured JSON summary for debugging and incident investigation.

Parsing application logs into JSON format is done by running a Python script that processes timestamped entries and extracts relevant patterns, generating a concise structured report suitable for dashboards or post-incident analysis.

Yes, you can filter log parsing results by log level. The parser supports optional level filtering using ALL, ERROR, and WARN options to tailor the extracted output for on-call alerts and specific debugging needs.

Yes, this log parser works across development, staging, and production environments. It automatically extracts timestamped errors and warnings from application logs, reducing the time spent manually scanning files during incident investigation.

When automating log analysis with this Python script, expect it to focus strictly on extracting timestamped errors, warnings, and patterns into a JSON summary. It provides basic parsing capabilities without advanced correlation or real-time streaming features.