About This Architecture

Multi-cloud Kafka streaming architecture using Kubernetes as the orchestration hub, connecting Apache Kafka sources to AWS Kinesis and Azure Event Hub destinations. A Python Consumer/Producer pod running in a Kubernetes data-pipeline namespace ingests from source Kafka and routes events to both AWS Kinesis in a private VPC subnet and Azure Event Hub in a managed VNet. This pattern enables unified event processing across cloud providers while maintaining Kubernetes-native deployment, scaling, and observability. Fork and customize this diagram on Diagrams.so to match your cloud regions, namespace configurations, and streaming topology.

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How do I set up a Kubernetes-based Kafka streaming pipeline that routes events to both AWS Kinesis and Azure Event Hub?

This diagram shows a Kubernetes data-pipeline namespace running Python Consumer/Producer pods that ingest from Apache Kafka and fan out to AWS Kinesis (in a private VPC subnet) and Azure Event Hub (in a managed VNet). The architecture uses Kubernetes as the orchestration layer, enabling portable, scalable event processing across multiple cloud providers with unified deployment and lifecycle manage