Interactive Production Pipeline Explorer
See a complete production pipeline in action! Use the interactive explorer below to step through 6 stages of enterprise-grade log processing: parse → validate → enrich → filter → redact → fan-out. This is the most comprehensive example combining all patterns.
How to Use This Explorer
- Navigate using arrow keys (← →) or click the numbered stage buttons
- Compare the Input (left) and Output (right) showing transformations at each stage
- Observe how raw logs become production-ready analytics data
- Inspect the YAML code showing real-world pipeline configuration
- Learn from the stage description explaining each processing step
Interactive Production Pipeline Explorer
Raw HTTP Input
Production systems receive raw unstructured logs via HTTP POST. No validation, no metadata, no structure - just raw text that needs comprehensive processing before analytics.
Use ← → arrow keys to navigate
📥Input
{"msg":"User login","user":"[email protected]"}
📤Output
❌ Raw, Unstructured:
No timestamp
No correlation ID
PII exposed (email)
No priority/severity
Added/Changed
Removed
Completed Step
Current Step
Not Done Yet
📄New Pipeline Stepstep-0-raw-input.yaml
input:
http_server:
address: 0.0.0.0:8080
path: /logsTry It Yourself
Ready to build production log pipelines? Follow the step-by-step tutorial:
Deep Dive into Each Step
- Step 1: Configure HTTP Input - Production-grade HTTP server setup
- Step 2: Parse & Validate Logs - Schema validation with DLQ routing
- Step 3: Enrich with Metadata - Observability and tracing
- Step 4: Filter & Score Logs - Priority-based processing
- Step 5: Redact Sensitive Data - GDPR/CCPA compliance
- Step 6: Fan-Out to Destinations - Multi-destination routing
Next: Set up your environment to build production pipelines yourself