The problem of ensuring cost transparency and proactive budget control in multi-cloud environments is becoming increasingly relevant for modern IT infrastructures. As organizations scale their use of heterogeneous cloud services, they face challenges related to fragmented billing systems, inconsistent cost metrics, and delayed anomaly detection. This study frames cost observability not merely as a financial function, but as an integral component of the organization’s security posture, aligned with the SOC 2 framework. The novelty of this research lies in the integration of cost monitoring tools — specifically Splunk, Cherwell, and JSON-based cloud Application Programming Interfaces (APIs) — with operational and security processes, enabling real-time detection of budget deviations, automated incident escalation, and cost-based policy enforcement. This study presents a proposed future architecture that implements a unified cost observability layer across heterogeneous billing systems in multi-cloud environments. The architecture transforms provider-specific formats — including AWS Cost Explorer JSON exports, Azure Cost Management APIs, and GCP Billing BigQuery exports — into standardized cost events. These normalized streams create a single temporal view of expenditures against unified budget thresholds, while generating consolidated financial telemetry that enables cross-provider anomaly detection and correlation. By reframing cost data as actionable observability signals, the approach advances beyond fragmented dashboards toward a centralized, audit-ready control layer that supports compliance, incident response, and financial governance. The system further incorporates role-based access logic, escalation thresholds, and forecasting models, creating a cost governance layer with direct implications for FinOps, DevSecOps, and compliance teams.
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