Ingestion Design for 10M Records/Day
Assess design trade-offs and resilience strategies for ingesting ~10 million daily records into an analytics platform.
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Question 1: When designing an ingestion pipeline for ~10 million records per day, which primary strategy best balances cost, scalability, and resilience for bursty traffic?
Write directly to the analytics database synchronously from all producers to ensure immediate queryability.
Batch incoming records on clients for long intervals to minimize downstream infrastructure needs.
Provision a fixed cluster sized for peak throughput so all records are processed with minimal latency.
Use a message queue with partitioning and autoscaled consumers to buffer bursts and process at steady throughput.