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The context

The context

In-depth essays and videos exploring the ideas shaping FinOps. Each month focuses on one theme, unpacking patterns, practices, and human stories that reveal how technology, finance, and culture intersect.

Why FinOps still lives in Excel

Why FinOps still lives in Excel

FinOps still lives in Excel not because tools are weak, but because the discipline lacks mandatory, GAAP-like standards. Without set in stone standardsthere is not much to build on. Until the foundation stabilises, wide adjustments are needed, and maturity stays out of reach.

Your dashboard is lying (but not the way you think)

Your dashboard is lying (but not the way you think)

Cloud vendors mark cost data as provisional until month-end billing is finalised, yet most FinOps dashboards ignore that and display mid-month numbers as truth. In FinOps, usage is daily, but finance is monthly. Real control comes from governance and behaviour, not hourly refreshes.

Why shift left makes me uncomfortable

Why shift left makes me uncomfortable

Shift-left is framed as empowerment: show engineers the cost impact and let them decide. But when economic responsibility moves down without strategic intent, budget ownership and reward moving with it, ownership can quietly become exposure.

Stop being supportive AI, please

Stop being supportive AI, please

AI feels helpful when you are thinking—but that is the trap.

How to give FinOps authority without creating bureaucracy

How to give FinOps authority without creating bureaucracy

Executive sponsorship matters in FinOps, but intent alone is not enough. This article introduces the FinOps Executive Mandate, a practical artefact that turns sponsorship into explicit authority, defines decision rights and separates a stable core from context-specific adaptation.

When the defaults no longer fit

When the defaults no longer fit

FinOps often feels simple on paper, then stubbornly complex in practice. When the defaults stop fitting, the friction isn’t failure. It’s experience. This field note is about what happens when judgement, context, and communication matter more than clean models.