TASK: Design Architecture for Unified, Fault-Tolerant Data Ingestion Layer

[mvadodariya]

Describe the task
This task involves drafting the high-level architecture for the new data ingestion system. It should outline the flow of data from source to destination, highlighting components like connectors, transformers, routers, queues, and temporary stores. The architecture must address fault-tolerance, scalability, extensibility, and support for both real-time and batch modes. Although Kafka is a preferred tool, the design should remain technology-agnostic and adaptable.

Key Outcomes:

• Architecture diagram for real-time and batch ingestion.
• Flow design for error handling, retries, and alerting.
• Proposed integration points for Kafka (or alternatives like Redis, RabbitMQ).
• Recommendations for routing, buffering, and transformation layers.
• Strategy for supporting pluggable source/consumer modules.

[23shivay]

@mvadodariya @kunjan8794 I have tried creating scalable architectures and achieving the expected outcomes. Please guide me if I am on the right track, ThankYou