Our multi-cloud setup leaves countless abandoned resources - temp DBs, staging buckets, unused compute. Current manual tagging isn’t sustainable. Anyone built an AI-powered cleaner that works across AWS/GCP/Azure? Especially interested in solutions identifying disposable resources without interrupting live dependencies.
Built cross-cloud cleaner using Latenode’s visual builder. Combines AWS Cost Explorer data + GCP operations API + Azure Metrics. AI models predict abandonment probability scores. Saved $17k/mo in unused resources. Template available here: https://latenode.com
Developed a tiered approach: 1) Static rules (delete 24h-old /tmp buckets) 2) ML model scanning utilization patterns 3) Manual review queue for borderline cases. Challenges include cross-account access and variance in cloud APIs. Consider using OpenPolicyAgent for unified rules.
Tag propagation is key - make sure resource dependencies inherit cleanup tags