Log Severity Filtering

Transform noisy application logs into actionable intelligence by filtering on severity.

The Problem

Application logs contain massive amounts of noise:

• INFO and DEBUG entries drown out critical errors
• Critical errors risk getting lost
• 80-95% of log volume provides no actionable value
• Expensive storage and transmission costs

The Solution

Learn 3 log processing techniques:

1. JSON Parsing with Fallback - Parse JSON where possible, preserve raw text when not
2. Severity-Based Filtering - Filter pipeline to only ERROR and WARN levels for 80-95% volume reduction
3. Conditional Routing - Switch output based on severity level (errors to files, warnings to monitoring)

Get Started

Choose your path:

Interactive Explorer

See severity filtering with live before/after examples

Step-by-Step Tutorial

Build the pipeline incrementally:

1. Parse JSON & Add Metadata
2. Filter by Severity
3. Route by Severity

Complete Pipeline

Download the production-ready solution