Abstract
As AI applications demand faster and more intelligent data access, traditional caching strategies are hitting performance and reliability limits.
This talk presents architecture patterns that shift from milliseconds to microseconds using Valkey Cluster, an open-source, Redis-compatible, in-memory datastore. Learn when to use proxy-based versus direct-access caching, how to avoid hidden reliability issues in sharded systems, and how to optimize for high price-performance at scale. Backed by the Linux Foundation, Valkey offers rich data structures and community-driven innovation.
Whether you’re building GenAI services or scaling existing platforms, this session delivers actionable patterns to improve speed, resilience, and efficiency.
Speaker
Dumanshu Goyal
Software Engineer @Airbnb - Leading Online Data Priorities, Previously @Google and @AWS
Dumanshu Goyal is an expert in building large-scale, highly available distributed storage systems and holds 20 patents in the field. He currently leads Online Data Priorities at Airbnb as the uber technical lead, with a focus on TiDB. Previously, he led in-memory caching for Google Cloud Databases, driving 10x improvements in scale and price-performance for Memorystore. Before that, he spent 10 years at AWS, where he was the founding engineer of AWS Timestream, a serverless time-series database, and delivered key durability and availability features for DynamoDB.
