Organizations need to create multi-region data applications for increased resilience, disaster recovery capabilities, scalability, performance, and data sovereignty. Redpanda handles multi-region capabilities through stretched Raft, hierarchical constraints solver, tiered storage, leadership preference, reading from follower replica, automatic partition data balancing, and future plans for read-only non-voting replicas and peer-to-peer replication.
Table of contents
TranscriptOutlineMulti-Region Fundamentals - BenefitsChallengesRedpanda Experience with Multi-RegionExample Deployment of Multi-Region PartitionPartition Replicas AllocationAutomatic Partition Data BalancingLeadership PreferenceReading From Follower ReplicaTiered StorageFuture PlansPACELC - Where is Redpanda?Summary41 Impressions