Tracing a single write and read through a distributed key-value store: write-ahead log, memtable, SSTable flush, and how the read/write paths differ, plus replication data flow.
How a distributed key-value store breaks under scale: hot keys, rebalancing pain, cross-region replication latency, and compaction storms, with concrete mitigations interviewers expect.
A complete interview framework for designing a distributed key-value store: LSM tree vs. B-tree trade-offs, compaction strategy, bloom filters, and consistent hashing for partitioning.
A component-level architecture breakdown for the news feed system design question: publisher-subscriber pattern, timeline service, cache warming, and post fanout, updated for July 2026 interviews.
Back-of-envelope capacity estimation for the news feed system design interview: DAU assumptions, storage per post, cache sizing for hot users, and QPS peaks, updated July 2026.
Schema and API design for the news feed system design interview: feed table, friendship graph, REST vs GraphQL, and cursor pagination vs offset, updated July 2026.