•1 min read•from InfoQ
Presentation: From ms to µs: OSS Valkey Architecture Patterns for Modern AI
Dumanshu Goyal discusses optimizing data layers for low-latency workloads like AI feature stores. Drawing lessons from NASA's Space Shuttle, he explains how proxy architectures introduce hidden CPU costs, elevated tail latencies, and blast-radius risks. He demonstrates how direct-access Valkey architectures achieve microsecond latency, improve resilience, and slash infrastructure costs.
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Tagged with
#AI
#Feature Store
#Low-Latency
#Valkey Architecture
#Data Layer
#Direct-Access
#Proxy Architecture
#Microsecond Latency
#Resilience
#Infrastructure Costs
#CPU Costs
#Tail Latency
#Blast Radius
#Workloads
#Optimization
#Architecture Patterns
#NASA
#Space Shuttle
#OSS
#Data Access