Kafkacentric
Kafkacentric is a design and operating philosophy in data infrastructure that centers around Apache Kafka as the primary backbone for data ingestion, event streaming, and inter-service communication. In a kafkacentric system, data is produced as events to Kafka topics and consumed by downstream services, enabling real-time processing, scalability, and loose coupling between components.
Key architectural elements include a Kafka cluster configured with topics and partitions, producers that publish events,
Common use cases encompass real-time analytics, event-driven microservices, data pipelines for ETL/ELT, event sourcing, and user
Challenges include operational complexity, capacity planning for throughput, careful schema evolution, and ensuring data quality across