#walrus $WAL
Solving Common Walrus Data Upload Issues
Keep Uploads Smooth and Stay Productive
Uploading data to Walrus is essential for many Web3 projects, whether you’re storing metadata, app blobs, or something else. Failed uploads can be annoying—especially if decentralized storage is new to you. But most problems are straightforward, and once you know what to check, you can resolve them quickly.
Here’s what typically goes wrong—and how to address it:
1. Invalid Data Format
If your file is damaged or not formatted correctly, Walrus will reject it. Always check and validate your files before uploading. Don’t skip this step.
2. Blob Size Issues
Large blobs can slow down uploads or even cause timeouts. Split very large files into smaller parts for smoother uploads.
3. Network Problems
Unstable connections can disrupt uploads. If an upload fails, retry it and make sure your code is set up to handle errors properly.
4. Wrong References or IDs
If you use an incorrect or outdated blob reference, the upload won’t work. Always confirm your blob references right after publishing.
5. Environment Confusion
Uploading to the wrong network—like Devnet instead of Mainnet—can be tricky. Always double-check your environment before starting.
Remember: Most upload errors aren’t critical. They’re just signals that something needs fixing. Teams that pay attention to these common problems spend less time troubleshooting and more time building.
If you’re working with Walrus, start logging your upload errors early. It will save you a lot of time when you move to production.
Hands-on guide for resolving common Walrus data upload issues in Web3 projects.
Disclaimer: Not Financial Advice.