Walrus: Node reliability matters more than raw bandwidth for consistent reads.
I treat Walrus less like a “cheap storage” pitch and more like a read-consistency problem when nodes drop, lag, or lie. The network takes a blob, breaks it into small pieces, and spreads those pieces across independent operators. A client rebuilds the original by collecting enough pieces, then checks that what came back matches the earlier commitment, so bad data is easier to spot. Operators get measured over time; reliability matters because failures can trigger penalties and shrink future work.It’s like a library that keeps photocopies of each chapter in different rooms, so one locked door doesn’t stop the whole book.
is practical: it pays fees for storing and retrieving data, operators stake it to back their service promises, and governance uses it to tune rewards, penalties, and limits.I’m not sure how it holds up under demand spikes and coordinated outages.
