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Interactive Fan-Out Pattern Explorer

See multi-destination routing in action! Use the interactive explorer below to step through 5 stages of fan-out pattern implementation. Watch as data progressively gains routing capabilities to Kafka, S3, and Elasticsearch.

How to Use This Explorer​

  1. Navigate using arrow keys (← →) or click the numbered stage buttons
  2. Compare the Input (left) and Output (right) YAML configuration at each stage
  3. Observe how destinations are added (green highlight) and configurations evolve
  4. Inspect the YAML code showing exactly what broker pattern was configured
  5. Learn from the stage description explaining the technique and edge computing benefit

Interactive Fan-Out Pattern Explorer​

Single Destination

Basic pipeline with single file output - the typical starting point before implementing fan-out pattern.

Use ← → arrow keys to navigate
📥Input
{
"event_id": "sensor-001",
"sensor_id": "temp-sensor-42",
"timestamp": "2025-01-20T10:30:00Z",
"temperature": 23.5,
"humidity": 65.2
}
📤Output
→ file:
path: /var/data/events.jsonl
// Single destination - no redundancy
Added/Changed
Removed
Completed Step
Current Step
Not Done Yet
📄New Pipeline Stepsingle-destination.yaml
name: single-destination-pipeline
type: pipeline

config:
  input:
    http_server:
      address: 0.0.0.0:8080
      path: /events

  output:
    file:
      path: /var/data/events.jsonl
      codec: lines

Try It Yourself​

Ready to build this multi-destination pipeline? Follow the step-by-step tutorial:

Deep Dive into Each Step​

Want to understand each routing technique in depth?

Next: Set up your environment to build this multi-destination pipeline yourself