What problem does it solve?
Managing Fabric Eventstream real-time ingestion pipelines requires navigating complex REST APIs, base64-encoded definitions, LRO polling, and strict topology rules, which is error-prone when done manually.
Core Features & Use Cases
- Authoring mode: Create Eventstreams, deploy full topologies with sources, operators, and destinations, update definitions, pause/resume, and delete items via the Fabric REST API.
- Consumption mode: List and inspect Eventstreams, decode topology graphs, check retention and throughput settings, validate configurations, and retrieve Custom Endpoint connection metadata.
- Use Case: Ask the assistant to create an Eventstream with a SampleData source, add a Filter operator for high-temperature events, and wire the output to a Lakehouse destination, with all API calls, base64 encoding, and LRO polling handled correctly.
Quick Start
Ask the assistant to create an Eventstream named SensorIngestion in your dev workspace with a sample data source and a Lakehouse destination.