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At scale, Web Sessions are not a login mechanism — they are a distributed state problem. At the Staff / Principal level, session state impacts latency budgets, security blast radius, fault tolerance, and global consistency. If you get session architecture wrong, you don’t break a feature — you break authentication, personalization, and availability across the entire platform. In this video, we revisit Web Sessions from a Staff Engineer perspective, focusing on distributed trade-offs, failure modes, and real-world architecture patterns used at FAANG-scale systems. 📌 What this video focuses on (Staff-Level): Session state as a distributed consistency abstraction Identity propagation across microservices Reference tokens vs JWTs (revocation vs latency trade-off) Session state as the primary security attack surface Latency budgets & moving session validation to the edge Session state in eventual consistency workflows (shopping cart problem) Sharding, partition tolerance & global session stores Why sticky sessions are an anti-pattern at scale 🧠 Concepts Covered: Distributed Session State Identity Caching & Propagation Auth at the Edge (API Gateway) Latency Budgets & Critical Paths Failure Modes & Blast Radius Session Sharding & Rebalancing Eventual Consistency & User State 👥 Target Audience: Staff Engineers Principal Engineers Senior Architects FAANG / Big Tech candidates Engineers designing systems at massive scale 🚀 Core Insight: Session state defines your system’s availability floor, latency floor, and security boundary. This is not about implementation — it’s about architectural correctness under scale and failure. 👍 Like if this resonates with real-world scale problems 📌 Subscribe for Staff-level System Design deep dives 💬 Comment “INTERVIEW” if you want a 1B-user session system design question