Look Ahead Scaling
The “look ahead” scaling feature monitors data volumes and data types in the Ingestion Pipeline and automatically pre-scales to meet demand. Scaling and the cost of cloud resources are placed under your control.
Scaling rules can be configured by data source and be automatically invoked when the data type is detected in the Ingestion Pipeline.
Connection to Your Repertoire
Connection to on-premise and cloud repertoire and works databases is supported. Azure Data Factory is configured to manage the data extraction and loading to Azure storage for use by the Matching Engine. Azure Data Gateway is installed locally to your existing repertoire database, either on-premise or your cloud environment and configured to manage the extraction.