In Web3 "available" should be provable not assumed.
My assessment is from my research into why trust breaks in decentralized systems the weakest link is rarely computation. It's data availability. Many protocols assume that if data was uploaded once, it will be there forever. In practice that assumption quietly depends on centralized actors doing the right thing.
Walrus changes this dynamic. Built on Sui, it reframes storage as a verifiable service rather than a best effort promise. Data is stored as blobs that can be proven to exist, remain intact and be retrievable without trusting a single storage provider.
From my research into production grade systems this matters because availability is a moving target. Networks degrade, nodes churn and incentives shift. Walrus uses erasure coding to tolerate these realities distributing fragments so that data survives even when parts of the network don't.
What stands out in my assessment is how cleanly this integrates with application logic. Smart contracts don't need to store everything. They only need to reference proofs. That keeps execution lean on Sui while maintaining strong guarantees about off-chain data.
This opens new design space is long lived governance records audit logs, AI training datasets and game state histories that remain accessible years later without rewriting infrastructure every cycle.
Walrus treats availability as something you can verify not hope for. In my view that is the difference between experimental Web3 and systems meant to last.
Do you think provable data availability should be a baseline requirement for serious Web3 applications?
