Modern IT infrastructure’s complexity significantly hinders comprehensive visibility and operational management across heterogeneous environments. Current monitoring systems suffer from fragmentation and limited interoperability, creating governance gaps across DevOps, Cloud, and Cybersecurity domains. This paper proposes a unified governance model and methodology for complex IT infrastructures, structuring knowledge from these three domains. Our approach centers on the Cockpit decision-support framework, which models IT ecosystems through knowledge-based representation and prioritizes actions via standardized indicators. The industrial case study at SCAFE validates this approach through four pilot implementations, demonstrating successful data aggregation from diverse sources, including Jira, cost management, and performance monitoring tools. Results show effective consolidation of availability, performance, cost, and security metrics across multiple vendors, bridging isolated environments and promoting consistent monitoring practices. The paper concludes with a discussion of the results, implications, and future research directions.

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Unified Model for Complex IT Infrastructures Governance: SCAFE Case Study

  • Rabia Azzi,
  • Punita Raj,
  • Ioana Filipas,
  • François Marmier,
  • Chaima Khalfaoui,
  • Mathieu Gros,
  • Bertrand Rose

摘要

Modern IT infrastructure’s complexity significantly hinders comprehensive visibility and operational management across heterogeneous environments. Current monitoring systems suffer from fragmentation and limited interoperability, creating governance gaps across DevOps, Cloud, and Cybersecurity domains. This paper proposes a unified governance model and methodology for complex IT infrastructures, structuring knowledge from these three domains. Our approach centers on the Cockpit decision-support framework, which models IT ecosystems through knowledge-based representation and prioritizes actions via standardized indicators. The industrial case study at SCAFE validates this approach through four pilot implementations, demonstrating successful data aggregation from diverse sources, including Jira, cost management, and performance monitoring tools. Results show effective consolidation of availability, performance, cost, and security metrics across multiple vendors, bridging isolated environments and promoting consistent monitoring practices. The paper concludes with a discussion of the results, implications, and future research directions.