Real time data streaming platforms such as Redpanda have become a mission critical component in enterprise infrastructure. Multi-region deployments of streaming applications can provide important benefits, such as improved resiliency, better performance and cost reduction.

Developers and architects must consider various trade-offs in multi-region streaming: the level of data consistency required, the desired behaviour on failures, and how to configure data placement for best performance. This talk will introduce the design of Redpanda’s Multi-Region feature, and describe how we leveraged Raft protocol properties, a hierarchical constraint solver, automatic data balancing, and tiered storage to provide an easy to use and flexible model of building reliable multi-region data streaming applications