Cloud Cost Management Is Not Just for FinOps: How to Begin in Two Practical Steps for SAM Users
ServiceNow has recently published an article detailing a pragmatic approach to initiating cloud cost management, particularly for Software Asset Management (SAM) users. The core message is that cloud spending, software licensing, and overall business accountability are increasingly intertwined, yet often managed by siloed teams and tools. ServiceNow's Cloud Cost Management (CCM) solution aims to bridge these gaps, offering a unified view for FinOps, ITAM, SAM, cloud, and finance teams to understand cloud consumption, cost ownership, and optimization opportunities. The article outlines two critical initial steps: first, to 'align and prepare' by defining the cloud footprint, identifying sponsors and operational owners, and setting clear business goals such as Bring Your Own License (BYOL) planning, optimizing AI-related cloud spend, or implementing showback mechanisms. The second step is to 'connect cloud data,' which involves establishing access to billing data from major cloud providers like AWS, Azure, and Google Cloud, configuring necessary connections, and ensuring scheduled data ingestion.
This development is highly significant for practitioners because cloud costs remain a persistent challenge, often exacerbated by a lack of integrated visibility and fragmented ownership. The explicit inclusion of SAM users highlights a growing recognition that software licensing, particularly in hybrid and multi-cloud environments, is a major component of overall cloud expenditure. By providing a structured, two-step framework, ServiceNow is offering a tangible starting point for organizations struggling to move beyond theoretical FinOps principles to practical, actionable cost control. Unifying data and breaking down organizational silos are crucial for preventing wasted spend, improving accountability, and making informed decisions about cloud resource allocation.
The broader context for this initiative is the accelerating trend towards integrated IT Asset Management (ITAM), SAM, and FinOps practices. As cloud adoption matures and enterprises embrace multi-cloud strategies, the traditional distinctions between infrastructure, platform, and software costs are blurring. The emergence of new, often volatile, consumption-based spending patterns driven by AI workloads further complicates cost tracking and optimization. Solutions like ServiceNow's CCM are a direct response to this complexity, reflecting an industry-wide shift towards more centralized, automated, and cross-functional financial governance in the cloud. This evolution is also championed by organizations like the FinOps Foundation, which advocates for collaborative cloud financial management.
In practice, this means that cloud and DevOps professionals, alongside their finance and SAM counterparts, should view this guidance as a blueprint for action. The initial steps—aligning stakeholders and integrating billing data—are fundamental. Practitioners should prioritize securing executive sponsorship, defining specific, measurable goals (e.g., identifying and decommissioning idle resources, optimizing AI inference costs), and ensuring robust, automated data ingestion pipelines from all cloud providers. This also signals that SAM professionals are becoming increasingly pivotal in the broader FinOps landscape, necessitating an expansion of their skill sets to encompass cloud financial literacy and an understanding of cloud consumption models. The ability to effectively manage BYOL scenarios and track AI-specific cloud spend will be key differentiators for organizations aiming to achieve true cloud financial efficiency.
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