cloud-economist

To calculate TCO and NPV for cloud migration, input workload forecasts and pricing data to generate a 3-5 year spend scenario. This models economic decision-making across migration, hybrid, and on-demand deployments, translating complex spend into executive-ready business cases.

Comparing cloud commitment options like reservations and savings plans requires scenario-modeling across on-demand and elasticity scenarios. By inputting defined pricing data and workload assumptions, you can analyze commitment economics and produce sensitivity analyses to inform governance.

Yes, you can generate architecture decision records for cloud cost optimization. The modeling process produces ADR-ready summaries and executive narratives from your defined scenario inputs, directly informing architecture trade-offs and governance for cloud strategies.

Running a sensitivity analysis for hybrid cloud deployment costs involves modeling scenario inputs with defined assumptions. The process outputs sensitivity analyses that highlight financial variability, enabling smarter cloud spend and ROI optimization across hybrid architectures.

Yes, modeling cloud elasticity economics requires defined assumptions and workload forecasts as scenario inputs. Providing this pricing data allows the model to accurately compare on-demand elasticity scenarios and generate an executive summary for your cloud spend strategy.