CloudQuery

Step 1: Define security policies using SQL based on compliance requirements (e.g., CIS benchmarks).

Step 2: Connect CloudQuery to all cloud accounts to ingest configuration data.

Step 3: Run policies against the ingested data to identify non-compliant resources.

Step 4: Automatically generate alerts or tickets for remediation, or trigger automated remediation workflows.

Step 1: Write SQL queries to identify underutilized or oversized cloud resources.

Step 2: Connect CloudQuery to AWS, GCP, and Azure accounts to collect resource utilization data.

Step 3: Visualize cost data by region, service, and resource tags to identify areas of high spending.

Step 4: Implement automated scaling or termination policies to optimize resource allocation and reduce costs.

Step 1: Store the desired state of your infrastructure in IaC repositories.

Step 2: Connect CloudQuery to your cloud accounts to monitor live infrastructure.

Step 3: Use SQL policies to compare the live state with the desired state from IaC.

Step 4: Automatically trigger workflows to revert drifted resources back to the defined state.

Step 1: Connect CloudQuery to all cloud accounts and services.

Step 2: Ingest and normalize resource metadata into a unified data model.

Step 3: Use SQL queries to search and filter resources based on tags, types, and configurations.

Step 4: Visualize the inventory data to gain insights into resource distribution and utilization.