#Cloud Computing

just spent hours trying to troubleshoot my cloud deployment... i'm using a pretty standard setup but somehow my instances keep timing out?? i've checked the docs and my config files but can't seem to find the issue... anyone else have this problem??

I've been exploring ways to streamline operations at my bar using cloud computing. Currently, we're using a mix of local servers and manual tracking for inventory and customer data. I'm looking for recommendations on cloud services that can integrate with our existing point-of-sale system and provide real-time analytics. Ideally, something that can also help with managing recipes and drink menus would be a huge plus. Anyone have experience with cloud-based solutions for bar management?

im pretty new to all this but i just switched to a cloud provider and i was wondering if anyone else uses autoscaling rn? i set it up on my instance and it seems to be working ok i guess

so i set up an aws lambda to heat my kettle to exactly 80c for oolong, thinking i’d get that perfect sweet spot, but the brew ends up flat af 😕 maybe the cold start latency adds a few seconds extra heat loss? or the jitter in the cloud clock drifts the temp? i read that hypervisor clock drift can be ±5ms, but does that matter for tea? tbh i think the real issue is the eventual consistency of the iot shadow state, causing the kettle to overshoot then cool down. anyone else seen this weird edge‑case where the cloud’s eventual consistency ruins a cup? would love some tips or just a laugh lol