What problem does it solve? Building and managing Microsoft Fabric Eventstream real-time ingestion pipelines requires precise REST API calls with base64-encoded topology definitions, LRO polling, and strict payload shapes that are easy to get wrong manually. ## Core Features & Use Cases - Topology Authoring: Create Eventstreams, add sources (Event Hub, IoT Hub, CDC, Custom Endpoint), wire filter and aggregate operators, and connect Lakehouse or Eventhouse destinations through the Fabric definition API. - Read-Only Inspection: List Eventstreams, decode topology graphs, check retention and throughput settings, monitor node health, and retrieve Custom Endpoint Kafka connection metadata. - Lifecycle Control: Pause, resume, and delete Eventstreams with correct request bodies and long-running operation handling. - Use Case: Ask the assistant to create an Eventstream with a SampleData source, add a filter operator keeping events where temperature exceeds 30, and route the filtered output to a DerivedStream — it discovers workspace IDs, builds the topology JSON, base64-encodes it, and polls the deployment to completion. ## Quick Start Ask the assistant to create an Eventstream named SensorIngestion in your dev workspace with a sample data source and a Lakehouse destination.