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Viewing protocols like Walrus as infrastructure, the core logic becomes clear. They aim to solve not just small-scale needs of individual applications but fundamental underlying issues faced by the entire ecosystem: how data can be stored long-term, how to ensure verified access, and how to enable repeated use across different scenarios.
Community discussions on-chain often fall into the vortex of price volatility, but the true test for storage protocols is entirely different. The key question is whether they can reliably support data in real-world applications—especially in high-traffic, long-cycle, cost-sensitive scenarios.
Why is decentralized storage worth paying attention to? The reasons are solid. Currently, many on-chain and off-chain applications face the same challenge: files like images, videos, AI model files, logs, and training datasets are large, frequently changing, and have long lifespans. Relying solely on centralized storage is like putting eggs in one basket—single points of failure, censorship risks, data loss, or tampering threats all exist. If the storage layer can offer stronger availability and verifiable mechanisms, the composability and long-term trustworthiness of upper-layer applications can achieve a qualitative leap. For developers, what truly matters is: Are the APIs clear enough? Can costs be predicted? Are queries stable? Is integration smooth?
When evaluating such protocols, I focus on four dimensions:
1) Product usability: upload/download speeds, failure rates, data integrity verification, completeness of developer documentation.
2) Network layer sustainability: whether node incentives and operational costs truly align, and whether there will be a scenario of initial over-accumulation followed by neglect.
3) Economic model flexibility: whether costs remain stable across different application scales, and whether price differences between large and small users are reasonable.
4) Ecosystem integration depth: whether there are actual application integrations, developer feedback, and whether mature toolchains and best practices exist.