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Cloud Zombie Hunter: AWS/Databricks agent
Discover how an AI agent finds and quantifies cloud waste on AWS and Databricks, ensuring you only pay for what you use.
I built a terminal-based agent — Claude Code running locally — that hunts two kinds of cloud waste across AWS and Databricks in one session, with evidence and grounded dollar estimates, and never touches anything without my say-so.
It looks for two things:
Zombies — abandoned resources still billing. On AWS: unattached EBS volumes, unassociated Elastic IPs, NAT gateways with near-zero traffic, stale snapshots, and the one everyone forgets — orphaned CloudWatch alarms left behind when a resource is decommissioned. On Databricks: all-purpose clusters left running with no auto-termination, SQL warehouses with no auto-stop, and scheduled jobs that fail silently but keep getting provisioned.
Over-provisioned / mis-configured resources. ECS services whose CPU/memory reservation dwarfs actual utilization, or with autoscaling that never triggers (min capacity too high, scale-in disabled, or tracking a metric that never moves). Oversized EC2/RDS vs Compute Optimizer. Databricks clusters with oversized worker types, autoscaling minimums set too high, all-purpose clusters doing jobs that belong on job clusters, or warehouses sized XXL where LARGE would do.