Pillar

Data Movement

How information is copied, propagated, retried, and delayed across systems.

Data movement is where latency, retries, and ordering assumptions quietly accumulate risk.

Why this pillar matters

If engineers cannot reason about how data moves, they cannot reason about where correctness erodes.

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29 min read

A familiar pattern that becomes operationally expensive when the miss path is weak.

Cache-aside works well only when the miss path is survivable, freshness is explicit, and invalidation ownership is clear.

Related pillars

Distributed Systems Foundations

Core primitives behind durability, delivery, and consistency.

How reads, writes, and replication shape correctness budgets.