Achieving Same Day Delivery with Confluent Data Streaming
Sep 19, 2023Pedro Busko

Summary
This post details a grocery delivery company's migration from a self-managed Apache Kafka on Azure HDInsight to Confluent Cloud to enable same-day delivery. The previous setup suffered from maintenance burdens, missed upgrades/patches, frequent pipeline failures, lack of managed connectors, and no stream processing. The migration to Confluent Cloud leverages multi-AZ dedicated clusters with VNET peering for high availability, pre-built managed connectors (Debezium MongoDB, SQL Server, JDBC Sink) for data ingestion and egress, and Schema Registry for data consistency. The .NET client library was used for application integration. The result is improved reliability, reduced downtime, and freed-up engineering resources for innovation.
More from the Real-time Enterprise RAG trail
- Building an Agentic SOC on a Stream
- Hemut: Building the Internet of Freight on Real-Time Data
- New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot
- Customer Intelligence Hub for Real-Time GTM Insights
- RAG and GenAI for Customer 360 Architecture