Erasure coding is central to how Walrus achieves durability without excessive duplication. Rather than storing full copies of data across many nodes, Walrus splits data into fragments and adds carefully calculated redundancy.
Only a subset of these fragments is needed to reconstruct the original data. This means the system can tolerate node failures while storing significantly less total data. The result is a durability model that is both resilient and efficient. Erasure coding allows Walrus to scale availability guarantees without turning storage into a wasteful exercise in replication.@Walrus 🦭/acc #walrus $WAL

