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Parse Structured Logs

Transform raw log files into structured, queryable data streams.

The Problem​

Log files come in dozens of formats making analysis difficult:

  • JSON, CSV, Apache/Nginx access logs, syslog messages
  • Each format requires different parsing logic
  • Difficult to build unified analytics and monitoring
  • No field-indexed queries

The Solution​

Learn 5 format-specific parsing techniques:

  1. JSON Document Parsing - json_documents processor with field mapping and timestamp normalization
  2. CSV Column Parsing - csv processor with named columns, type conversion, and validation
  3. Web Access Log Parsing - grok processor with Common Log Format patterns for traffic analytics
  4. Syslog Message Parsing - syslog processor with priority decomposition for system events
  5. Multi-Format Detection - Automatic format detection with conditional routing for mixed sources

Get Started​

Choose your path:

Interactive Explorer​

See each parsing technique with side-by-side before/after views

Step-by-Step Tutorial​

Build the pipeline incrementally:

  1. Parse JSON Logs
  2. Parse CSV Data
  3. Parse Access Logs
  4. Parse Syslog Messages
  5. Multi-Format Detection

Complete Pipeline​

Download the production-ready solution