System‑design expectations tightened

System Design Weekly’s Substack archive lists episode titles that drill into concrete infrastructure choices—EP1 “Kafka Tiered Storage,” EP5 “Bigtable: Google’s Distributed Storage System,” and EP11 “Understanding Cache Line Bouncing, Flame Graphs, and Netflix‑Scale Engineering.” (designsystemsweekly.substack.com)) Educative’s 2026 system‑design guides state FAANG‑style interviews are structured around a 45‑minute loop that explicitly evaluates requirement clarification, capacity estimation, and trade‑off justification. (educative.io)) FAANG‑prep platforms such as Igotanoffer and hiring‑insights sites report that interview rubrics now score candidates on how they clarify ambiguous requirements, argue scalability trade‑offs, and justify component choices rather than only drawing top‑level diagrams. (igotanoffer.com)) Authoritative comparisons used in prep materials—DataCamp’s Kafka vs RabbitMQ guide (Feb 11, 2025) and Michal Drozd’s December 21, 2025 RabbitMQ/Kafka benchmark write‑ups—are frequently cited as study sources when interviewers probe messaging choices and throughput/latency trade‑offs. (datacamp.com)) Microsoft’s Azure Well‑Architected guidance for operational excellence lays out observability architecture (metrics, logs, traces, SLOs) recommended for production systems, and recent interview guides publish focused lists—e.g., “20 Advanced Observability Interview Questions” (March 2026)—to reflect that observability and failure‑mode reasoning are now interview topics. (learn.microsoft.com)) Open‑source prep collections like donnemartin’s System Design Primer on GitHub and teaching platforms that note roughly “15–20” recurring system tools (Redis/Memcached, Kafka, CDNs, SQL/NoSQL patterns) provide the concrete technology lists candidates are expected to cite and compare in interviews. (github.com))