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Production Log Processing Pipeline

Build an enterprise-grade log processing pipeline that handles millions of events at the edge.

The Problem​

Modern applications generate massive log volumes needing immediate processing:

  • Raw logs are noisy, inconsistent, contain sensitive data
  • Multiple formats from different sources
  • Need real-time processing, enrichment, and routing
  • Compliance requires PII redaction before storage

The Solution​

Learn 6 production-ready techniques:

  1. HTTP Input Configuration - Rate-limited HTTP endpoints with authentication and validation
  2. Parse and Validate - JSON parsing with field validation and error handling
  3. Enrich Metadata - Node location, processing timestamps, and operational metadata
  4. Filter and Score - Severity scores and debug log filtering for 60-80% bandwidth reduction
  5. Redact Sensitive Data - Field-level hashing and deletion for GDPR/HIPAA compliance
  6. Fan-Out Pattern - Parallel routing to Elasticsearch, S3, and backup systems

Get Started​

Choose your path:

Interactive Explorer​

See each production technique with live examples

Step-by-Step Tutorial​

Build the pipeline incrementally:

  1. HTTP Input
  2. Parse & Validate
  3. Enrich Metadata
  4. Filter & Score
  5. Redact Sensitive Data
  6. Fan-Out Pattern

Complete Pipeline​

Download the production-ready solution