About This Architecture

Enterprise data integration architecture routing six source systems through Apache Kafka and Java Services via the Middleware Integration Framework (MIF) to MAWM on GCP Compute Engine. Source systems including Polaris, Passport, SC Hub, TOM Middle Mile, POGO, and OMS publish events to Kafka, while IAM, IRP, RELEX, TMS, KRONOS, and Buyback feed Java Services, both converging at MIF for unified processing. Traffic flows through Cloud Load Balancing and Cloud Armor before reaching MAWM Compute Engine instances in us-central1, with data persisted in Cloud SQL and Cloud Storage, monitored via Cloud Monitoring. This pattern demonstrates secure, scalable multi-source aggregation with enterprise middleware orchestration on GCP. Fork this diagram to customize source systems, adjust Kafka partitioning strategy, or modify VPC subnet ranges for your organization's data topology.

People also ask

How do I design a GCP architecture to integrate multiple source systems like Polaris and Passport through Kafka and middleware to a central MAWM application?

This diagram shows a multi-source integration pattern using Apache Kafka to aggregate events from Polaris, Passport, SC Hub, POGO, OMS, and TOM Middle Mile, with Java Services handling IAM, IRP, RELEX, TMS, KRONOS, and Buyback feeds. The Middleware Integration Framework (MIF) unifies both streams before routing through Cloud Load Balancing and Cloud Armor to MAWM Compute Engine instances in a GCP