TAO Social-Graph Architecture: Requirements, Minimal Design, and Operational Checks
How a distributed social-graph data store balances read-your-writes consistency, cross-region replication, and operational reliability at scale.
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Choosing Between Push and Pull Models for High-Scale Social Feed Generation
Analyze the trade-offs between Push and Pull models for social feed generation, focusing on write amplification and the 'celebrity problem' in distributed systems.
linkedinOptimizing LinkedIn’s Social Graph Reads with Venice: A Practical Lens
LinkedIn’s Venice distributed cache turns heavy graph reads into fast key‑value lookups, slashing database load. This post dissects how the cache fits into the social‑graph stack, shows a concrete example, and weighs the trade‑offs of stale data and invalidation complexity.
Choosing Consistency Models for Distributed Social Graph Data
A guide to balancing strong and eventual consistency in distributed social graphs, comparing trade-offs for identity data versus social connections.