Overview

Processing terabytes per day is mostly about repeatable patterns: batching, backpressure, idempotency, and observability.

A proven blueprint

• Durable ingestion (queue/log)
• Stateless workers for transforms
• Partitioning + incremental loads
• Query-layer optimization and caching
• Monitoring (lag, latency, error budgets)

Key takeaways

• Treat every step as retryable and idempotent
• Make your slowest dependency explicit and measurable
• Cache at the edges, not in the middle