Understand the implications of managing a mixed portfolio of on-premises, SaaS, PaaS, and cloud-native technologies - Technology Portfolio Management (TPM) Best Practices
Understand the implications of managing a mixed portfolio of on-premises, SaaS, PaaS, and cloud-native technologies
(Chapter 101 of Technology Portfolio Management (TPM) Best Practices)
Executive Summary: Chapter Overview
IF4ITThe Bottom Line
Core Concepts
| Concept | Definition & Strategic Role |
|---|---|
| Mixed Portfolio Composition | The mixture of technology deployment models — on-premises (enterprise-owned infrastructure), SaaS (vendor-hosted service subscriptions), PaaS (vendor-hosted platform), and cloud-native (enterprise-managed technology on cloud infrastructure) — each with distinct financial, governance, and operational characteristics. |
| Deployment-Aware Governance | The application of governance treatment appropriate to each deployment model rather than uniform treatment across the mixed portfolio — recognizing that SaaS renewal management differs from on-premises hardware lifecycle management, and cloud cost management differs from data center cost management. |
Quick Q&A
Question: Why does uniform management fail across a mixed technology portfolio?
Question: What does deployment-aware governance produce that uniform governance does not?
Read More Below
Overview
The modern enterprise technology portfolio is almost never homogeneous in its deployment model. It typically contains a complex mix of on-premises hardware and software running on owned or leased infrastructure, SaaS technologies delivered as managed services by external vendors, PaaS-based platforms, and cloud-native infrastructure services purpose-built for cloud deployment. Managing this mix as if it were homogeneous — applying the same governance framework and cost analysis approach regardless of deployment model — produces governance that fits none of the models adequately.
Best Practice
Classify every technology in the Technologies Inventory by its primary deployment model and apply model-appropriate governance, cost analysis, and operational standards to each class. Maintain the deployment model as a standard attribute of every technology record, since it is foundational to financial management, security governance, FinOps discipline, and lifecycle planning decisions. Ensure portfolio financial analysis accounts for the fundamentally different cost structures of each deployment model rather than applying uniform analysis that misrepresents the economics of cloud-hosted and SaaS-delivered technologies relative to on-premises technologies.

Benefit(s)
Model-appropriate governance produces a technology management approach that fits the actual characteristics of what is being governed. On-premises technologies receive appropriate hardware lifecycle and cost governance. SaaS technologies receive utilization monitoring and renewal discipline. Cloud-native technologies receive FinOps governance and architectural optimization attention. The organization develops technology management capability that matures in proportion to the deployment complexity it actually governs.
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