Abstract
Details coming soon.
Details coming soon.
Netflix runs on a complex multi-layer cloud architecture made up of thousands of services, caches, and databases. As hardware options, workload patterns, cost dynamics and the Netflix products evolve, the cost-optimal hardware and configuration for running our services is constantly changing.
Joseph Lynch
Principal Software Engineer @Netflix Building Highly-Reliable and High-Leverage Infrastructure Across Stateless and Stateful Services
Argha C
Staff Software Engineer @Netflix Building Highly Available, High Throughput Systems
SS&C Technologies runs 47 trillion dollars of assets on our global private cloud. We have the primitives for infrastructure as well as platforms as a service like Kubernetes, Kafka, NiFi, Databases, etc.
Joseph Stein
Principal Architect of Research & Development @SS&C Technologies, Previous Apache Kafka Committer and PMC Member
As AI applications demand faster and more intelligent data access, traditional caching strategies are hitting performance and reliability limits.
Dumanshu Goyal
Software Engineer @Airbnb - Leading Online Data Priorities, Previously @Google and @AWS
AI teams are moving to self-hosted inference away from hosted LLMs as fine-tuning drives model performance. The catch is scale, hundreds of variants create long-tail traffic, cold starts, and duplicated stacks.
Meryem Arik
Co-Founder and CEO @Doubleword (Previously TitanML), Recognized as a Technology Leader in Forbes 30 Under 30, Recovering Physicist