Cloud & workflow integrations
Plug in your systems. See one picture.
Start with your billing data, then add reporting, engineering and operations tools as your setup allows.
Cloud sources
Engineering & workflow
Integration ecosystem
From source systems to the people who act.
These are examples of what CloudScore connects to, and your setup may not include all of them.
Category
Cloud platforms
AWS
Cost, usage and resource context
Microsoft Azure
Consumption and resource context
Google Cloud
Billing exports and resource context
Oracle Cloud (OCI)
Supported OCI cost / resource workflows
Category
Cost & billing
AWS CUR / CUR 2.0
Detailed AWS billing exports
Azure consumption data
Azure billing and usage inputs
GCP BigQuery export
Cloud billing export data
Category
Engineering
Kubernetes
Cluster and workload insights
Terraform
Infrastructure-as-code-related workflows
GitHub
Source control integration scenarios
Category
Security & workflow
Jira
Issue ownership and approval workflow
ServiceNow
IT service management scenarios
Cloud Security services
Cloud-native posture and findings
Category
Operations
CloudWatch / Monitoring
Metrics and operational data
Logs & observability tools
Telemetry and investigation context
Slack / collaboration
Team notifications and workflow
Microsoft Teams
Team notifications and workflow
Category
AI & data
AI model endpoints
Routing / inference connectivity
AI usage telemetry
Usage economics and attribution
Deployment reality
Confirm the integration contract, not just the logo.
For each connector, check the data, refresh timing and permissions with our team, since this isn’t an official compatibility list.
Book a demo
Bring your stack. Walk through a real problem.
Bring two or three priorities, and we’ll show how CloudScore handles them and what it needs from you.