Log Enrichment & S3 Export

Transform raw logs into analytics-ready datasets with metadata enrichment and efficient cloud storage.

The Problem

Application logs lack context and aren't optimized for analytics:

• No data lineage or processing metadata
• Individual log writes create expensive S3 API calls
• Missing tracking context for debugging and compliance
• Not structured for business intelligence queries

The Solution

Learn 5 log processing techniques:

1. Generate/Capture Logs - File input, syslog, or generated data for testing with consistent log streams
2. Enrich with Lineage - Environment variables and processing timestamps for full traceability
3. Restructure Data - Bloblang mapping to separate business data from operational metadata
4. Batch Processing - Time-based or count-based batching to reduce S3 API calls
5. S3 Export - JSON Lines format with partitioning for analytics-ready data

Get Started

Choose your path:

Interactive Explorer

See each enrichment and batching technique with side-by-side transformations

Step-by-Step Tutorial

Build the pipeline incrementally:

1. Generate Test Data
2. Add Lineage Metadata
3. Restructure Format
4. Configure Batching
5. Export to S3

Complete Pipeline

Download the production-ready solution