Sometimes when I check data, I find that the Subgraph is getting stuck—an “RPC rate limit” error pops up or the indexer is lagging. Honestly, this is pretty common—not because the chain isn’t working, but because your query frequency is too high, or the Subgraph update hasn’t caught up with the latest blocks yet.

I’ve been thinking about it for a while, and I’ve found that many so-called “data getting stuck” issues are actually scheduling problems on the indexer side. Especially now that a bunch of projects have adopted the re-staking setup with “shared security”—logically it’s a nesting/daisy-chaining structure, but is there a technical problem? Not really. It’s just that the maintenance cost is high. Anyway, I’d rather spend more time tuning my own query frequency, or write a lightweight indexer myself, than expect a third party to stay smooth and reliable all the time.

There are many tutorials, but the ones I can actually follow are the ones that focus on software engineering habits—define your data sources first, then think about caching, and don’t assume infinite RPC from the start. Sometimes it’s not that the data is breaking; it’s that you didn’t build proper fault tolerance. Don’t ask why other people can run just as fast as you—check first whether you’re the one constantly spamming the same endpoint at the same time.

Anyway, that’s about it. Before you go look up data, first see how you’re querying—fixing your own approach is more effective than yelling at the service provider.