Operations | Monitoring | ITSM | DevOps | Cloud

"Show me all EC2 instances that are public." One question. About 10 minutes. Manually, the same answer is a 10-day job. In this clip, the CloudQuery AI assistant works it out live: it finds the EC2 instances table, reads the schema, identifies public_ip_address as the field that signals public exposure, and queries for every instance that has one. It comes back with 2 running public EC2 instances — instance type, public IP and DNS, private IP, VPC, subnet and tags for each — and flags that both are reachable from the internet, subject to security group rules.

How many resources do you actually have across every cloud provider? Manually, that's a ~2 hour job. With CloudQuery, it's one question. In this clip we ask the CloudQuery AI assistant a single question —"Show count of all resources across all cloud providers" — and get a full multi-cloud asset inventory back in about a minute: Wiz 9,225 · GCP 6,485 · AWS 2,297 · Azure 1,153 · Entra ID 1,109 · Kubernetes 1,066 · Backstage 75 → 21,410 total resources.

How many virtual machines are actually running across your clouds right now? With CloudQuery it's one question and about 2 minutes. By hand, it's closer to 2 hours. In this Ask CloudQuery episode we run the exact same request two ways.