System Design: Catalog Update Pipeline
Design a robust and scalable system capable of processing updates for an extremely large product catalog, consisting of approximately 500 million records. The primary goal is to efficiently propagate these updates to all relevant downstream internal systems.
Your design should address the following key aspects:
- Horizontal Scaling: Detail how the processing of catalog updates can be partitioned to achieve horizontal scalability.
- Multi-Consumer Coordination: Explain mechanisms for coordinating the delivery of updates to diverse internal consumers, ensuring each receives the necessary data.
- Fault Tolerance and Retries: Describe how the system will safely handle failures within partitions and implement retry logic without data loss or inconsistencies.
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Core dilemma
Balancing high-volume, low-latency data propagation with strong consistency and fault tolerance across heterogeneous downstream consumers in a distributed environment.
3 tradeoffs and 3 stress tests locked
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Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
System Design: Catalog Update Pipeline
Design a robust and scalable system capable of processing updates for an extremely large product catalog, consisting of approximately 500 million records. The primary goal is to efficiently propagate these updates to all relevant downstream internal systems.
Your design should address the following key aspects:
- Horizontal Scaling: Detail how the processing of catalog updates can be partitioned to achieve horizontal scalability.
- Multi-Consumer Coordination: Explain mechanisms for coordinating the delivery of updates to diverse internal consumers, ensuring each receives the necessary data.
- Fault Tolerance and Retries: Describe how the system will safely handle failures within partitions and implement retry logic without data loss or inconsistencies.