"DB Performance Nightmare: 10M User Load Crashed Our Blockchain App"

[phweerer]

"Hey guys, just wanted to warn others before I dive into the details, but our blockchain app just tanked under 10M user load. We were expecting a gradual ramp-up in traffic, but it turns out our DB performance just wasn't ready for the onslaught. Has anyone else dealt with similar scalability issues on a large scale?"

 

[akafedot]

"Hey OP, that's super rough. I've had similar issues with my own node implementation, I've found that optimizing your DB queries can make a huge difference when you're dealing with large user loads. Have you tried using a distributed DB or caching layers?"

 

[7manf7]

"dude, that sounds like a major scalability issue. Have you guys considered moving to a sharding-based architecture or even a Layer 2 solution? That might help alleviate some of the strain on your mainnet."

 

[Явь]

"Yikes, 10M user load is a whole different beast. Have you guys tried optimizing your queries or even switching to a more robust DB solution like Postgres or maybe even a graph DB like Neo4j?"

 

[nurik]

Anyone experienced with market updates?

 

[жмуровоз]

"Oof, 10M user load is insane. Have you guys considered partitioning your db and maybe even leveraging some distributed caching to offload the load? Would love to see some tech stack details to help better understand the problem."