Friends, today let's talk about some real stuff—after your data is on the chain, is it alive or just lying around? This question was hard to answer in the past; most protocols would just throw out a "Trust me" and then disappear. But some projects are starting to get serious.

Recently, I saw the monitoring dashboard launched by Walrus in collaboration with Space and Time, and it's quite interesting. This isn't some flashy dashboard; it's a real "x-ray" system for the entire storage network. You can see the upload progress of each data block, the read frequency, even the system health check status—all in real time. Every move on the chain is laid out in front of you. In the past, we relied on guesses; now, we can watch live.

More importantly, this level of transparency has deep implications. Are nodes working diligently? How is the data sharding distribution strategy? What’s the network latency? These metrics are as clear as watching the stock market index. For developers, debugging efficiency can be doubled or more. For all participants in the ecosystem, there's no need to boast; you can judge whether a network is truly robust based on verifiable code logic, not just verbal promises.

Why does Walrus dare to play with transparency like this? Confidence comes from technology. It uses the RedStuff 2D erasure coding scheme, keeping the data replication factor between 4 and 5 times. Compared to traditional storage protocols that often have 25 times redundancy, this saves real costs. What does this mean? For cost-intensive scenarios—large AI model training data, ultra-high-definition video storage, massive log archives—there are new possibilities. Lower storage costs are the key to enabling large-scale applications.