Unconference: Distributed Systems in Production
From the same track
Adaptive Systems in Production: What Recommendation Systems Can Teach Us About Agents
Tuesday Nov 17 / 01:35PM PST
As organizations race to build AI agents, many teams are encountering challenges that feel new: evaluation uncertainty, feedback loops, behavioral drift, exploration versus exploitation, and maintaining user trust in systems that continuously adapt.But these challenges are not new.
Mallika Rao
Senior Engineering Manager @Zocdoc, Previously @Netflix, @Twitter and @Walmart
How to Build Online Systems with Object Storage
Tuesday Nov 17 / 02:45PM PST
“Diskless” systems that delegate durability to object storage are everywhere, and for three good reasons:
Almog Gavra
Co-Founder @Responsive.dev - Building Object-Native Databases, Previously @Confluent and @LinkedIn
Orderly Keys, Wild Values: Adaptive Compression for Distributed Key-Value Storage
Tuesday Nov 17 / 10:35AM PST
At Netflix scale - billions of requests per day and petabytes of key-value data - even small inefficiencies in storage and network paths become expensive.
Joseph Lynch
Principal Software Engineer @Netflix Building Highly-Reliable and High-Leverage Infrastructure Across Stateless and Stateful Services
Ayushi Singh
Senior Software Engineer @Netflix Specializing in Large-Scale Distributed Data Systems
When Your Users Are Agents: Lessons from Running Serverless Postgres
Tuesday Nov 17 / 11:45AM PST
Most systems are designed with human users in mind: predictable session lengths, expected traffic spikes, and query patterns shaped by application code. But what happens to your core infrastructure when some of your most active users are autonomous AI agents?
Gwen Shapira
Co-Founder and CPO @Nile, Previously Engineering Leader @Confluent, PMC Member @Kafka, & Committer Apache Sqoop
Real-World Trade-Offs in Multi-Region Data Replication
Tuesday Nov 17 / 05:05PM PST
Details coming soon.