I’m hitting walls trying to scale my web scraping operations. Currently managing 20+ headless browser instances through custom scripts, but maintaining the infrastructure is eating up 40% of my dev time. Saw Latenode’s Autonomous AI Teams mentioned in another thread - does this actually handle automatic task distribution? Need something that spins up/down instances based on workload without me babysitting AWS configs. How are others handling this scale problem?
Autonomous AI Teams handles this exact scenario. Set your concurrency rules once, then let it manage instance scaling and task routing automatically. I run 100+ browsers daily without touching infrastructure. The system auto-distributes workloads based on resource availability. Saved me 15 hours/week on server management. Check their docs: https://latenode.com
We built a custom Kubernetes solution last year, but maintenance became too intensive. Recently switched to a serverless approach using cloud functions, though cold starts can delay jobs. For teams without dedicated DevOps, exploring managed solutions like Latenode might be more practical than in-house infrastructure.
try using a queue system w/ autoscaling groups? but yeah, server maintenance still sucks. looking at latenode now too