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Guide

The service graph

The service graph is what makes AI useful in cloud management.

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Contents

  1. The service graph
  2. Why it is needed
  3. How it is built
  4. The ontology
  5. The CMDB and the service graph
  6. The application's place in the organization
  7. Real-world examples
  8. SRE Assist
  9. Customer impact assessment
  10. Disaster recovery runbooks
  11. Resiliency assessment
  12. Incident simulation
  13. SpendWatch
  14. Observability
  15. In summary
Page 1 of / 14
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Page 1 of The service graph: The service graph
Page 2 of The service graph: Why it is needed
Page 3 of The service graph: How it is built
Page 4 of The service graph: The CMDB and the service graph
Page 5 of The service graph: The application's place in the organization
Page 6 of The service graph: Real-world examples
Page 7 of The service graph: SRE Assist
Page 8 of The service graph: Customer impact assessment
Page 9 of The service graph: Disaster recovery runbooks
Page 10 of The service graph: Resiliency assessment
Page 11 of The service graph: Incident simulation
Page 12 of The service graph: SpendWatch
Page 13 of The service graph: Observability
Page 14 of The service graph: In summary
Download PDF

More from the library

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  • Handbook Building CloudOps Agents with ServiceGraph
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  • Guide AI Cost Tracking: A FinOps Field Guide to Consumption Models
  • Scorecard Multi-Cloud Visibility & Governance Scorecard
  • Field guide Independently Successful FinOps
  • Guide Automate FinOps Cost Allocation with CMDB Tagging

Service Graph use cases

  • CloudOps
  • FinOps
  • AIOps
  • CSPM
  • SecOps
  • Patching
  • ITAM

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Updated Sep 2025

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